Genfa Zhou

434 citations
9 papers · 387 · h-index 8

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Protein Structure and Dynamics
    • Biochemical and Molecular Research
    • Enzyme function and inhibition
    • Polyamine Metabolism and Applications

Papers in

    • Biochemical and Molecular Research 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Metabolism, Diabetes, and Cancer 1
    • Enzyme Structure and Function 4

Genfa Zhou

9 papers receiving 374 citations

Peers

Genfa Zhou
Comparison fields: 5 of 73
  • Virology 54
  • Molecular Biology 272
  • Cell Biology 47
  • Immunology 48
  • Biotechnology 17
Replace Marc Massaer with:
Marc Massaer Belgium
Troy Taylor United States
Constance L. Fisher United States
Bruno Collinet France
Sandrine Braud France
Kaoru Fukami-Kobayashi Japan
Juliana Glavina Argentina
Lyle Uyetake United States
Yuxiang Zhu United States
Sushama Michael Germany
Genfa Zhou relative to Marc Massaer Belgium Marc Massaer's profile →
Citations per field
00.5×
Marc Massaer · 1×
Citations per year

Countries citing papers authored by Genfa Zhou

Since Specialization
Citations

This map shows the geographic impact of Genfa Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Genfa Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genfa Zhou more than expected).

Fields of papers citing papers by Genfa Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genfa Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Genfa Zhou. The network helps show where Genfa Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Genfa Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Genfa Zhou Line = papers co-authored together Genfa Zhou links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998225
2 200041
3 200035
4 200031
5 199721
6 200711
7 199810
8 19938
9 19995

About Genfa Zhou

Genfa Zhou is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Virology and Organic Chemistry, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Enzyme Structure and Function (4 papers), HIV Research and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HIV/AIDS drug development and treatment (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Virology (54 citations), Molecular Biology (272 citations), Cell Biology (47 citations), Immunology (48 citations) and Biotechnology (17 citations). Genfa Zhou has collaborated with scholars based in United States and France. Frequent co-authors include Michael S. Chapman, W. Ross Ellington, Eric Blanc, Thayumanasamy Somasundaram, Don C. Wiley, J.J. Skehel, Stephen C. Harrison, Tarun M. Kapoor, Tim Strassmaier and Stuart L. Schreiber. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Biological Chemistry, Biochemical Journal, Cellular and Molecular Life Sciences and Biophysical Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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