Kathy Chen
Impact in
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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
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Gene Regulatory Network Analysis 5
- Fungal and yeast genetics research 2
- Epigenetics and DNA Methylation 1
- DNA and Nucleic Acid Chemistry 1
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- Microtubule and mitosis dynamics 4
- Co-authors
- Béla Novák (5 shared papers)John J. Tyson (5 shared papers)Béla Györffy (1 shared paper)Attila Csikász‐Nagy (1 shared paper)C.D. Thron (1 shared paper)Garrett M. Odell (1 shared paper)Yvan Labiche (1 shared paper)Lionel Briand (1 shared paper)
- Journals
- Nature Reviews Molecular Cell Biology (1 paper)Biophysical Chemistry (1 paper)Trends in Biochemical Sciences (1 paper)Lecture notes in computer science (1 paper)PubMed (1 paper)
- Partner nations
- United StatesHungaryLuxembourg
In The Last Decade
Kathy Chen
5 papers receiving 630 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 551
- Cell Biology 128
- Modeling and Simulation 27
- Biophysics 30
- Aging 5
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 12 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 | 426 | |
| 2 | 1998 | 110 | |
| 3 | 1996 | 78 | |
| 4 | 1995 | 35 | |
| 5 | 2013 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 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, Information Systems and Museology, having authored 7 papers that have together received 656 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), Software Reliability and Analysis Research (1 paper), Epigenetics and DNA Methylation (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper), Eating Disorders and Behaviors (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (551 citations), Cell Biology (128 citations), Modeling and Simulation (27 citations), Biophysics (30 citations) and Aging (5 citations). Kathy Chen has collaborated with scholars based in United States, Hungary and Luxembourg. Frequent co-authors include Béla Novák, John J. Tyson, Béla Györffy, Attila Csikász‐Nagy, C.D. Thron, Garrett M. Odell, Yvan Labiche, Lionel Briand, Jill C. Sible and Frederick R. Cross. Their work appears in journals such as Nature Reviews Molecular Cell Biology, Biophysical Chemistry, Trends in Biochemical Sciences, Lecture notes in computer science and PubMed.
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.