Kathy Chen

864 total citations
6 papers, 592 citations indexed

About

Kathy Chen is a scholar working on Molecular Biology, Cell Biology and Clinical Psychology. According to data from OpenAlex, Kathy Chen has authored 6 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Clinical Psychology. Recurrent topics in Kathy Chen's work include Gene Regulatory Network Analysis (5 papers), Microtubule and mitosis dynamics (4 papers) and Fungal and yeast genetics research (2 papers). Kathy Chen is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Microtubule and mitosis dynamics (4 papers) and Fungal and yeast genetics research (2 papers). Kathy Chen collaborates with scholars based in United States and Hungary. Kathy Chen's co-authors include John J. Tyson, Béla Novák, Attila Csikász‐Nagy, Béla Györffy, C.D. Thron, Garrett M. Odell, Jill C. Sible, Layne T. Watson, Clifford A. Shaffer and Frederick R. Cross and has published in prestigious journals such as Nature Reviews Molecular Cell Biology, Trends in Biochemical Sciences and Biophysical Chemistry.

In The Last Decade

Kathy Chen

4 papers receiving 570 citations

Peers

Kathy Chen
Comparison fields: 5 of 81
  • Molecular Biology 513
  • Cell Biology 129
  • Genetics 60
  • Computer Networks and Communications 38
  • Oncology 37
Replace Jeong‐Rae Kim with:
Jeong‐Rae Kim South Korea
Nicole Radde Germany
Yoon Sup Choi South Korea
Alejandra C. Ventura United States
Carlos Salazar Germany
Wassim Abou-Jaoudé France
J. Krishnan United Kingdom
Anael Verdugo United States
Chetan Gadgil India
Charles Roesel United States
Jeong‐Rae Kim South Korea View profile →
Citations per field, relative to Kathy Chen
Kathy Chen · 1×
Citations per year, relative to Kathy Chen
Kathy Chen · 1×

Countries citing papers authored by Kathy Chen

Since Specialization
Citations

This map shows the geographic impact of Kathy Chen'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 Kathy Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Chen more than expected).

Fields of papers citing papers by Kathy Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathy Chen. 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 Kathy Chen. The network helps show where Kathy Chen may publish in the future.

Co-authorship network of co-authors of Kathy Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Chen. A scholar is included among the top collaborators of Kathy Chen 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 Kathy Chen. Kathy Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2
Eukaryotic Cell Cycle as a Test Case for Modeling Cellular Regulation in a Collaborative Problem-Solving Environment
0
3 380
4 105
5 72
6 34

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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