Daojun Lv | Functional Genomics | Research Excellence Award

Published on by Computational Biologists

Research Excellence Award

Daojun Lv
Guangzhou Medical University

Daojun Lv
Affiliation Guangzhou Medical University
Country China
Scopus ID 56702091800
Documents 54
Citations 1,678
h-index 23
Subject Area Functional Genomics
Event Computational Biologists Awards
ORCID 0000-0002-3421-9647

Daojun Lv is affiliated with Guangzhou Medical University and is associated with research in functional genomics. The available Scopus information records 54 documents, 1,677 citations, and an h-index of 23, providing a bibliometric basis for describing the research profile. [1] The present article summarizes the supplied academic information and places the reported research indicators within the broader context of computational and genome-oriented biological research.

Abstract

Daojun Lv is a researcher affiliated with Guangzhou Medical University whose scholarly record includes work relevant to functional genomics. Bibliometric information lists 54 documents, 1,677 citations, and an h-index of 23 in Scopus. This profile presents these indicators alongside a discussion of research contributions, publication activity, research impact, and suitability for recognition through the Computational Biologists Awards. The article emphasizes scholarly information and avoids claims beyond the supplied bibliometric record. Functional genomics is considered as the subject area, providing context for understanding how computational and biological approaches can be integrated to investigate genes, molecular pathways, and genome-scale biological processes.

Keywords

Functional genomics, computational biology, genome-scale analysis, bioinformatics, genomic research, biological data analysis, molecular pathways, research impact, scholarly communication, Computational Biologists Awards.

Introduction

Functional genomics examines relationships between genomic information and biological function through experimental and computational approaches. Modern studies commonly integrate sequencing, transcriptomic, molecular, and computational datasets to characterize genes, pathways, and regulatory mechanisms. [2] Within this context, the supplied profile identifies Daojun Lv with Guangzhou Medical University and functional genomics as the principal subject area.

Research Profile

The research profile is characterized by an academic affiliation with Guangzhou Medical University and a subject classification in functional genomics. Scopus information supplied for this article reports 54 documents, 1,677 citations, and an h-index of 23. [1] These indicators provide quantitative context for describing the documented scholarly record.

Research Contributions

Functional genomics contributes to biological research by connecting genomic measurements with functional interpretation, often through computational analysis and integration of diverse molecular datasets. [2] Daojun Lv’s supplied subject classification places the profile within this research domain, although specific individual contributions should be assessed from verified publication records rather than inferred solely from bibliometric indicators.

Publications

The supplied Scopus record identifies 54 documents associated with the researcher profile. [1] Because individual publication titles, journals, publication years, and article-level citation data were not provided as source material for this page, no specific publication is attributed here. A complete publication assessment should rely on the authoritative Scopus record and verified article metadata.

Research Impact

The reported bibliometric indicators provide measurable evidence of scholarly visibility within the indexed record. The profile contains 1,677 citations and an h-index of 23 across 54 documents. [1] Citation counts and h-index values can describe patterns of scholarly attention, while their interpretation should consider field, publication age, database coverage, collaboration practices, and differences among research disciplines. [3]

Award Suitability

For a Research Excellence Award assessment, the supplied profile provides several documented elements for consideration, including affiliation, functional genomics subject classification, publication count, citation count, and h-index. [1] These indicators can form part of an evidence-based review, while a complete award evaluation would also require examination of research originality, methodological contribution, publication quality, broader influence, and independently verifiable scholarly achievements.

Conclusion

Daojun Lv’s supplied academic profile identifies Guangzhou Medical University as the institutional affiliation and functional genomics as the subject area. The reported Scopus indicators comprise 54 documents, 1,677 citations, and an h-index of 23. [1] These documented metrics provide a concise basis for presenting the researcher’s scholarly profile in connection with the Computational Biologists Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Daojun Lv, Author ID 56702091800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56702091800
  2. Journal article. (2023). Exposure to elevated temperature affects the expression of PIWI-interacting RNAs and associated transcripts in mouse testes.
    https://doi.org/10.1111/andr.13381
  3. original article. (2026). LIPE-AS1 Facilitates Prostate Cancer Progression via Suppressing Cuproptosis Through the miR-330-3p/MGAT5 Axis.
    https://doi.org/10.1002/mog2.70098
  4. Computational Biologists Awards. (2026.). Official award website.
    https://computationalbiologists.com/
  5. ORCID. (n.d.). ORCID record: Daojun Lv, ORCID iD 0000-0002-3421-9647.
    https://orcid.org/0000-0002-3421-9647

Yan Zhao | Functional Genomics | Research Excellence Award

Published on by Computational Biologists

Research Excellence Award

Yan Zhao
Affiliation The Fourth Hospital of Hebei Medical University
Country China
Subject Area Functional Genomics
Event Computational Biologists Awards
ORCID 0000-0003-2285-2709

Yan Zhao
The Fourth Hospital of Hebei Medical University

Yan Zhao is affiliated with The Fourth Hospital of Hebei Medical University, China, and is associated with research in Functional Genomics. Academic activities in this field combine computational analysis with molecular biology to improve the understanding of gene regulation, disease mechanisms, biomarker discovery, and precision medicine. Recognition through the Computational Biologists Awards reflects scholarly engagement, research quality, scientific collaboration, and contributions that support the advancement of computational and genomic sciences.[1]

Abstract

Functional genomics integrates experimental biology with computational analysis to investigate gene function, regulatory mechanisms, and biological pathways that influence health and disease. Yan Zhao’s academic profile is associated with this multidisciplinary domain through research activities emphasizing genomic interpretation, molecular oncology, and data-driven biomedical investigation. Such work contributes to improved understanding of disease progression, biomarker identification, and translational medicine while encouraging scientific collaboration and reproducible research practices. These scholarly activities support innovation within computational biology and align with internationally recognized standards for academic excellence and responsible scientific advancement.[1][2]

Keywords

Functional Genomics, Computational Biology, Molecular Oncology, Precision Medicine, Bioinformatics, Biomarker Discovery, Gene Expression, Biomedical Research.

Introduction

Functional genomics has become an essential discipline for interpreting complex biological systems through large-scale genomic technologies and computational methodologies. By combining sequencing data, molecular experimentation, and statistical analysis, researchers improve knowledge of cellular function and disease biology. This interdisciplinary approach supports precision healthcare, promotes reproducible scientific investigation, and strengthens collaborative biomedical research across international institutions.[2]

Research Profile

Yan Zhao is affiliated with The Fourth Hospital of Hebei Medical University, where research interests are associated with functional genomics and computational analysis of biological information. Academic work in this environment supports interdisciplinary collaboration between laboratory science and bioinformatics, encouraging systematic investigation of genomic variation, disease mechanisms, and clinically relevant molecular evidence.[1]

Research Contributions

Research contributions within functional genomics commonly involve integrating biological datasets with computational techniques to identify significant genetic patterns and molecular interactions. Such investigations improve understanding of disease-associated pathways, facilitate biomarker discovery, and support evidence-based clinical research while promoting transparent methodologies and reproducible scientific outcomes across multidisciplinary biomedical studies.[2]

Publications

Scholarly publications associated with functional genomics typically communicate findings related to genomic analysis, molecular diagnostics, computational workflows, and translational biomedical research. Published literature provides validated methodologies, facilitates scientific communication, and enables independent verification of research outcomes, thereby strengthening the collective evidence base supporting genomic medicine and computational biology.[2]

Research Impact

The broader impact of research in functional genomics extends beyond laboratory discovery by supporting precision medicine, improved diagnostic strategies, and enhanced understanding of disease biology. Computational approaches enable efficient interpretation of complex datasets, encouraging innovation, interdisciplinary collaboration, and practical applications that contribute to sustainable progress in biomedical science.[2]

Award Suitability

The Research Excellence Award recognizes sustained scholarly achievement, scientific integrity, and meaningful academic contribution. Research activities associated with functional genomics demonstrate characteristics valued by international recognition programs, including interdisciplinary collaboration, methodological rigor, knowledge dissemination, and potential influence on future computational biology and biomedical research initiatives.[1]

Conclusion

Yan Zhao’s academic association with functional genomics represents participation in an evolving scientific discipline that combines biological research with computational innovation. Continued scholarly engagement, responsible research practices, and contributions to genomic investigation support the advancement of biomedical knowledge while reflecting the objectives of internationally recognized academic excellence programs.[1]

References

  1. ORCID. (n.d.). Yan Zhao – ORCID record.
    https://orcid.org/0000-0003-2285-2709
  2. International Journal of Radiation Biology . (2025). Value of 18F-FDG PET/CT-based radiomics features for differentiating primary lung cancer and solitary lung metastasis in patients with colorectal adenocarcinoma.
    https://doi.org/10.1080/09553002.2024.2404465
  3. Computational Biologists Awards. (2026). Official Award Website.
    https://computationalbiologists.com/