Genfa Zhou

434 total citations
9 papers, 387 citations indexed

About

Genfa Zhou is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Genfa Zhou has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Infectious Diseases. Recurrent topics in Genfa Zhou's work include Biochemical and Molecular Research (4 papers), Enzyme Structure and Function (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Genfa Zhou is often cited by papers focused on Biochemical and Molecular Research (4 papers), Enzyme Structure and Function (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Genfa Zhou collaborates with scholars based in United States and France. Genfa Zhou's co-authors include Michael S. Chapman, W. Ross Ellington, Thayumanasamy Somasundaram, Eric Blanc, Don C. Wiley, J.J. Skehel, Stephen C. Harrison, Marc Ferrer, Tim Strassmaier and Tarun M. Kapoor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Genfa Zhou

9 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Genfa Zhou United States 8 272 72 54 48 47 9 387
Lisa M. Charlton United States 8 399 1.5× 104 1.4× 153 2.8× 73 1.5× 43 0.9× 10 570
Jenny Erales France 15 506 1.9× 63 0.9× 55 1.0× 34 0.7× 145 3.1× 18 668
Troy Taylor United States 12 390 1.4× 49 0.7× 18 0.3× 37 0.8× 65 1.4× 19 509
Juliana Glavina Argentina 7 475 1.7× 57 0.8× 14 0.3× 47 1.0× 72 1.5× 9 587
Sushama Michael Germany 5 623 2.3× 60 0.8× 11 0.2× 49 1.0× 92 2.0× 6 758
Meeta Rani India 4 379 1.4× 106 1.5× 13 0.2× 20 0.4× 40 0.9× 7 478
Marc Massaer Belgium 10 196 0.7× 16 0.2× 42 0.8× 78 1.6× 59 1.3× 16 542
B R Nodes United States 9 333 1.2× 30 0.4× 111 2.1× 12 0.3× 45 1.0× 9 481
C Frömmel Germany 7 299 1.1× 25 0.3× 10 0.2× 98 2.0× 49 1.0× 13 414
María M. Corvi Argentina 12 322 1.2× 28 0.4× 14 0.3× 44 0.9× 95 2.0× 23 533

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-authorship network of co-authors of Genfa Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Genfa Zhou. A scholar is included among the top collaborators of Genfa Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Genfa Zhou. Genfa Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
McKenna, Lindsay B., Genfa Zhou, & Jeffrey Field. (2007). Isoform-specific functions of Akt in cell motility. Cellular and Molecular Life Sciences. 64(21). 2723–2725. 11 indexed citations
2.
Chen, Bing, Genfa Zhou, Mikyung Kim, et al.. (2000). Expression, Purification, and Characterization of gp160e, the Soluble, Trimeric Ectodomain of the Simian Immunodeficiency Virus Envelope Glycoprotein, gp160. Journal of Biological Chemistry. 275(45). 34946–34953. 31 indexed citations
3.
Zhou, Genfa, W. Ross Ellington, & Michael S. Chapman. (2000). Induced Fit in Arginine Kinase. Biophysical Journal. 78(3). 1541–1550. 35 indexed citations
4.
Zhou, Genfa, Marc Ferrer, Rajiv Chopra, et al.. (2000). The structure of an HIV-1 specific cell entry inhibitor in complex with the HIV-1 gp41 trimeric core. Bioorganic & Medicinal Chemistry. 8(9). 2219–2227. 41 indexed citations
5.
Zhou, Genfa, et al.. (1999). Critical initial real-space refinement in the structure determination of arginine kinase. Acta Crystallographica Section D Biological Crystallography. 55(4). 835–845. 5 indexed citations
6.
Zhou, Genfa, Junfeng Wang, Eric Blanc, & Michael S. Chapman. (1998). Determination of the Relative Precision of Atoms in a Macromolecular Structure. Acta Crystallographica Section D Biological Crystallography. 54(3). 391–399. 10 indexed citations
7.
Zhou, Genfa, et al.. (1998). Transition state structure of arginine kinase: Implications for catalysis of bimolecular reactions. Proceedings of the National Academy of Sciences. 95(15). 8449–8454. 225 indexed citations
8.
Zhou, Genfa, Gopalakrishnan Parthasarathy, Thayumanasamy Somasundaram, et al.. (1997). Expression, purification from inclusion bodies, and crystal characterization of a transition state analog complex of arginine kinase: A model for studying phosphagen kinases. Protein Science. 6(2). 444–449. 21 indexed citations
9.
Chao, L, et al.. (1993). Expression and characterization of rat kallikrein-binding protein in Escherichia coli. Biochemical Journal. 292(3). 825–832. 8 indexed citations

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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