Tag: Genetics Science Award

Reena | Biochemistry, Genetics and Molecular Biology | Innovative Research Award

Published on by World Science Awards

Innovative Research Award

Reena
NDRI Karnal
Reena
Affiliation NDRI Karnal
Country India
Scopus ID 60089593400
Documents 2
Citations 1
h-index 1
Subject Area Biochemistry, Genetics and Molecular Biology
Event World Science Awards

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate originality, scientific inquiry, and contributions to the development of knowledge. Reena, affiliated with NDRI Karnal, has an indexed research profile within the field of Biochemistry, Genetics and Molecular Biology. The available bibliometric record indicates two Scopus-indexed documents, one citation, and an h-index of one, providing an objective record of early scholarly participation in the scientific literature.[1]

Abstract

Reena is a researcher affiliated with NDRI Karnal whose documented scholarly activity falls within Biochemistry, Genetics and Molecular Biology. Research in this broad field encompasses molecular mechanisms, biological processes, genetics, cellular systems, biomolecular interactions, and applications relevant to agriculture, biotechnology, and health sciences. The available Scopus record identifies two indexed documents and one citation, reflecting an emerging research profile within the international scientific literature.[1][2]

Keywords

  • Biochemistry
  • Genetics
  • Molecular Biology
  • Molecular Research
  • Biotechnology
  • Scientific Publications
  • Research Innovation
  • World Science Awards

Introduction

Biochemistry, genetics and molecular biology constitute closely connected scientific disciplines concerned with the molecular basis of biological systems. Research in these areas contributes to understanding genes, proteins, metabolic pathways, cellular processes, heredity, and biological regulation. Advances in molecular research also provide foundations for developments in biotechnology, agricultural science, medicine, and related life sciences.[2][3]

Research Profile

The available bibliometric information identifies Reena with Scopus Author ID 60089593400 and an affiliation with NDRI Karnal. The profile contains two indexed documents, one citation, and an h-index of one. These indicators represent a developing scholarly record and establish a documented presence in the international indexed research literature.[1]

  • Affiliation: NDRI Karnal.
  • Country: India.
  • Primary subject area: Biochemistry, Genetics and Molecular Biology.
  • Scopus-indexed documents: 2.
  • Citations: 1.
  • h-index: 1.

Research Contributions

Research in Biochemistry, Genetics and Molecular Biology supports scientific understanding of biological systems at molecular and cellular levels. Contributions in these disciplines may provide foundational knowledge for biotechnology, animal science, agriculture, healthcare, and other applied areas. Reena’s documented publication activity represents participation in this broader research domain through indexed scholarly communication.[2][3]

Publications

The available Scopus profile records two indexed documents associated with Reena. These publications contribute to the researcher’s documented academic output and provide evidence of participation in formal scientific communication. Detailed publication titles, journal information, publication dates, and individual research topics have not been provided in the source data and are therefore not inferred in this article.[1]

  • Scopus-indexed scholarly documents: 2.
  • Research domain: Biochemistry, Genetics and Molecular Biology.
  • Documented citation count: 1.
  • Publication details are subject to the researcher’s indexed bibliographic record.

Research Impact

Research impact can be considered through multiple dimensions, including publication quality, citations, methodological contribution, collaboration, practical application, and influence on subsequent research. The current Scopus record reports one citation and an h-index of one. These metrics indicate an early measurable scholarly impact while providing a quantitative basis for documenting the researcher’s indexed academic activity.[1]

Award Suitability

Based on the information supplied, Reena demonstrates documented research participation in Biochemistry, Genetics and Molecular Biology through Scopus-indexed publications. The Innovative Research Award may recognize emerging researchers whose work demonstrates originality, scientific relevance, and potential for further contribution. The available bibliometric information provides evidence of scholarly activity; however, a complete award assessment should also consider research quality, originality, institutional contributions, collaboration, and the specific criteria established by the World Science Awards.[1][4]

Conclusion

Reena has an emerging indexed research profile associated with NDRI Karnal and the subject area of Biochemistry, Genetics and Molecular Biology. The documented record includes two Scopus-indexed documents, one citation, and an h-index of one. These indicators establish measurable participation in scholarly research and provide a foundation for evaluating further academic development and potential recognition for innovative research contributions.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Reena, Author ID 60089593400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60089593400
  2. Alberts, B., et al. Molecular Biology of the Cell. Garland Science.
    DOI: https://doi.org/10.1201/9781315735368
  3. Nelson, D. L., & Cox, M. M. Lehninger Principles of Biochemistry. W. H. Freeman.
    DOI: https://doi.org/10.13140/RG.2.1.2346.2000
  4. World Science Awards. (n.d.). Official Award Information.
    https://shen.sciencefather.com/

Elham Nazari | Biology and Genetics | Best Researcher Award

Published on by World Science Awards

Assist Prof Dr. Elham Nazari | Biology and Genetics | Best Researcher Award

Shahid beheshti university of medical science, Iran

Dr. Elham Nazari is a prominent researcher in bioinformatics and medical informatics, with a strong academic background including a Ph.D. and Postdoc from Mashhad University of Medical Sciences. Her research focuses on integrating machine learning, big data analysis, and multi-omics approaches to identify biomarkers and prognostic indicators in various cancers, including colorectal, gastric, and pancreatic. Dr. Nazari has published extensively in reputable journals such as Current Bioinformatics and Scientific Reports, showcasing her expertise in applying advanced computational methods to healthcare problems. Her work also includes contributions to understanding the impact of big data and digital innovation on healthcare systems. Dr. Nazari’s research has been supported by multiple grants, and she has been recognized for her scholarly achievements, including awards for her research and presentations. Her skills in using tools like SPSS, R, and Python underscore her proficiency in handling complex data analyses.

Profile

Education

Elham Nazari’s educational background reflects a robust foundation in bioinformatics and medical informatics. She earned her Bachelor of Science in Computer Engineering from Azad University of Kermanshah in 2006. Building on this foundation, she pursued a Master of Science in Medical Informatics at Tarbiat Modares University of Tehran, completing her degree in 2015. Her academic journey continued with a PhD in Medical Informatics from Mashhad University of Medical Sciences, which she obtained in 2021. Her research interests and expertise were further expanded through a Postdoctoral Fellowship in Bioinformatics at Mashhad University of Medical Sciences, which she completed in 2023. This extensive educational experience underpins her significant contributions to the field of bioinformatics and her proficiency in integrating machine learning and big data analysis in medical research.

Professional Experience

Elham Nazari is an accomplished researcher with a solid foundation in medical informatics and bioinformatics. She completed her postdoctoral training in Bioinformatics at Mashhad University of Medical Sciences in 2023, following a PhD in Medical Informatics from the same institution in 2021. Prior to her doctoral studies, she earned a Master’s degree in Medical Informatics from Tarbiat Modares University in Tehran (2015) and a Bachelor’s in Computer Engineering from Azad University of Kermanshah (2006). Her professional experience includes extensive research in machine learning, big data analysis, and bioinformatics, with notable projects focusing on cancer biomarker identification and predictive modeling. Nazari’s work has been supported by multiple research grants and has resulted in numerous peer-reviewed publications and conference presentations. Additionally, she has taught technical courses in visual basic and software applications at various institutions. Her diverse expertise and research contributions highlight her significant impact in the field of medical informatics.

Research Interest

Elham Nazari’s research interests are centered on the integration of bioinformatics and machine learning to advance medical and healthcare outcomes. Her work predominantly focuses on utilizing machine learning algorithms for identifying biomarkers and understanding the molecular mechanisms underlying various cancers, including gastric, colorectal, and pancreatic cancers. She is deeply involved in data science and big data analysis, leveraging these tools to enhance RNA and DNA sequencing techniques. Additionally, Nazari’s research extends to multi-omics analysis, where she applies computational methods to integrate and analyze complex biological data. Her expertise encompasses bioinformatics, with a particular emphasis on developing predictive models and discovering novel diagnostic and prognostic markers. By combining her skills in bioinformatics with cutting-edge machine learning techniques, Nazari aims to improve early detection and treatment strategies for cancer and other diseases.

Research Skills

Elham Nazari possesses a robust set of research skills that significantly contribute to her field of bioinformatics and medical informatics. Her expertise in machine learning and data science is evident through her extensive work in developing predictive models and identifying biomarkers using advanced computational techniques. Nazari’s proficiency in big data analysis allows her to handle and interpret large datasets, which is crucial for her research in RNA and DNA sequencing. Her skill set includes using bioinformatics tools for multi-omics analysis, enhancing her ability to uncover complex patterns and relationships in biological data. She is adept with a range of software such as SPSS, R, Python, and Weka, facilitating her analysis and modeling tasks. Her research experience spans various applications, including cancer biomarker identification and health data analytics, showcasing her versatility and depth in the domain.

Award and Recognition

Elham Nazari has garnered significant recognition for her contributions to the field of medical informatics and bioinformatics. Notably, she was honored as a selective and excellent student and researcher at the Festival Professor Hesabi in 2019, highlighting her outstanding achievements and academic prowess. Additionally, she received the Best Poster Award at the Second National Conference of Medical Informatics in 2018, underscoring her excellence in presenting innovative research. Nazari’s work is widely acknowledged in the academic community, as reflected in her extensive publication record and active participation in cutting-edge research projects. Her innovative use of machine learning and big data analysis in healthcare continues to earn accolades, reflecting her dedication and impact in advancing the field. Her contributions are further supported by a strong online presence and recognition from peers, showcasing her prominent role in advancing medical informatics and bioinformatics.

Conclusion

Elham Nazari is a strong candidate for the Research for Best Researcher Award due to her extensive research output, innovative use of technology, and active engagement in impactful projects. Her expertise in bioinformatics and machine learning, coupled with her robust academic background, positions her as a leading figure in her field. Addressing areas for improvement, such as increasing public engagement and expanding research focus, could further enhance her already impressive profile.

Publications Top Notes

  1. The Therapeutic Impact of Programmed Death–1 in the Treatment of Colorectal Cancer
    • Authors: P.S. Sangani, S. Yazdani, G. Khalili-Tanha, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Pathology Research and Practice
  2. Emerging Potential Value of Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Pancreatic Cancer
    • Authors: Z. Haghshenas, F. Shaban, G.A. Ferns, E. Nazari
    • Year: 2024
    • Journal: Annals of Pancreatic Cancer
  3. The Prognostic, Diagnostic, and Therapeutic Impact of Long Noncoding RNAs in Gastric Cancer
    • Authors: A. Ghorbani, F. Hosseinie, S. Khorshid Sokhangouy, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Cancer Genetics
  4. Colorectal Cancer Stem Cell Biomarkers: Biological Traits and Prognostic Insights
    • Authors: A. Soleimani, N. Saeedi, A.M. Al-Asady, A. Avan, S.M.H. Mehr
    • Year: 2024
    • Journal: Current Pharmaceutical Design
    • Citations: 1
  5. The Therapeutic Application of Hydrogen in Cancer: The Potential and Challenges
    • Authors: M.N. Khiji, F. Arghidash, G.K. Tanha, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Current Pharmaceutical Design
    • Citations: 1
  6. Bioinformatics Analysis and Machine Learning Approach Applied to the Identification of Novel Key Genes Involved in Non-Alcoholic Fatty Liver Disease
    • Authors: E. Nazari, G. Khalili-Tanha, A. Asadnia, M.A. Kiani, A. Avan
    • Year: 2023
    • Journal: Scientific Reports
    • Citations: 1
  7. Down Regulation of Cathepsin W is Associated with Poor Prognosis in Pancreatic Cancer
    • Authors: F. Khojasteh-Leylakoohi, R. Mohit, N. Khalili-Tanha, J. Batra, A. Avan
    • Year: 2023
    • Journal: Scientific Reports
    • Citations: 4
  8. Breast Cancer Prediction Using Different Machine Learning Methods Applying Multi Factors
    • Authors: E. Nazari, H. Naderi, M. Tabadkani, H. Tabesh, A. Avan
    • Year: 2023
    • Journal: Journal of Cancer Research and Clinical Oncology
    • Citations: 3
  9. Identification of ZMYND19 as a Novel Biomarker of Colorectal Cancer: RNA-Sequencing and Machine Learning Analysis
    • Authors: G. Khalili-Tanha, R. Mohit, A. Asadnia, E. Nazari, A. Avan
    • Year: 2023
    • Journal: Journal of Cell Communication and Signaling
    • Citations: 2
  10. Prognostic Value of Primary Tumor Location in Colorectal Cancer: An Updated Meta-Analysis
    • Authors: H. Gholamalizadeh, N. Zafari, M. Velayati, E. Nazari, A. Avan
    • Year: 2023
    • Journal: Clinical and Experimental Medicine
    • Citations: 2