Kathy Chen
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Protein Structure and Dynamics
Papers in
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- Gene Regulatory Network Analysis 5
- Fungal and yeast genetics research 2
- Epigenetics and DNA Methylation 1
- Bioinformatics and Genomic Networks 1
- DNA and Nucleic Acid Chemistry 1
- Microbial Metabolic Engineering and Bioproduction 1
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- Microtubule and mitosis dynamics 4
- Co-authors
- Béla Novák (5 shared papers)John J. Tyson (5 shared papers)Attila Csikász‐Nagy (1 shared paper)Béla Györffy (1 shared paper)C.D. Thron (1 shared paper)Garrett M. Odell (1 shared paper)Frederick R. Cross (1 shared paper)Layne T. Watson (1 shared paper)
- Journals
- Biophysical Chemistry (1 paper)Trends in Biochemical Sciences (1 paper)Nature Reviews Molecular Cell Biology (1 paper)Defense Technical Information Center (DTIC) (1 paper)BCP Business & Management (1 paper)
- Partner nations
- United StatesHungary
In The Last Decade
Kathy Chen
4 papers receiving 570 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 129
- Molecular Biology 513
- Modeling and Simulation 24
- Biophysics 26
- Statistical and Nonlinear Physics 36
Countries citing papers authored by Kathy Chen
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
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-authors
The 10 scholars most cited alongside Kathy Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 380 | |
| 2 | 1998 | 105 | |
| 3 | 1996 | 72 | |
| 4 | 1995 | 34 | |
| 5 | 2022 | 1 | |
| 6 | Eukaryotic Cell Cycle as a Test Case for Modeling Cellular Regulation in a Collaborative Problem-Solving Environment | 2007 | 0 |
About Kathy Chen
Kathy Chen is a scholar working on Molecular Biology, Cell Biology, Clinical Psychology, Museology and Marketing, having authored 6 papers that have together received 592 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Microtubule and mitosis dynamics (4 papers), Fungal and yeast genetics research (2 papers), Epigenetics and DNA Methylation (1 paper), Bioinformatics and Genomic Networks (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Fashion and Cultural Textiles (1 paper). The work is most often cited by research in Cell Biology (129 citations), Molecular Biology (513 citations), Modeling and Simulation (24 citations), Biophysics (26 citations) and Statistical and Nonlinear Physics (36 citations). Kathy Chen has collaborated with scholars based in United States and Hungary. Frequent co-authors include Béla Novák, John J. Tyson, Attila Csikász‐Nagy, Béla Györffy, C.D. Thron, Garrett M. Odell, Frederick R. Cross, Layne T. Watson, Clifford A. Shaffer and Jill C. Sible. Their work appears in journals such as Biophysical Chemistry, Trends in Biochemical Sciences, Nature Reviews Molecular Cell Biology, Defense Technical Information Center (DTIC) and BCP Business & Management.
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.