Tracy Tan
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in ⓘ
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- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 3
- Hippo pathway signaling and YAP/TAZ 1
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- Ubiquitin and proteasome pathways 3
- Co-authors
- Kassandra M Ori-McKenney (7 shared papers)David C. Alexander (3 shared papers)Jun Liu (3 shared papers)Brigette Y. Monroy (2 shared papers)Richard J. McKenney (5 shared papers)Jeffrey M. Chen (2 shared papers)Dan W. Nowakowski (4 shared papers)Sergi Simó (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Nature Cell Biology (1 paper)Journal of Bacteriology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Tracy Tan
11 papers receiving 753 citations
Peers
Comparison fields: 5 of 75
- Cell Biology 327
- Infectious Diseases 215
- Molecular Medicine 54
- Epidemiology 252
- Endocrinology 30
Countries citing papers authored by Tracy Tan
This map shows the geographic impact of Tracy Tan'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 Tracy Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Tan more than expected).
Fields of papers citing papers by Tracy Tan
This network shows the impact of papers produced by Tracy Tan. 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 Tracy Tan. The network helps show where Tracy Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Tan, 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 | 2019 | 144 | |
| 2 | 2018 | 133 | |
| 3 | 2006 | 125 | |
| 4 | 2005 | 112 | |
| 5 | 2020 | 86 | |
| 6 | 2004 | 52 | |
| 7 | 2005 | 42 | |
| 8 | 2022 | 41 | |
| 9 | 2021 | 21 | |
| 10 | 2024 | 2 | |
| 11 | 2020 | 1 |
About Tracy Tan
Tracy Tan is a scholar working on Cell Biology, Molecular Biology, Infectious Diseases, Epidemiology and Physiology, having authored 11 papers that have together received 759 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Tuberculosis Research and Epidemiology (3 papers), Ubiquitin and proteasome pathways (3 papers), Cellular Mechanics and Interactions (3 papers), Mycobacterium research and diagnosis (3 papers), Alzheimer's disease research and treatments (2 papers), HIV Research and Treatment (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cell Biology (327 citations), Infectious Diseases (215 citations), Molecular Medicine (54 citations), Epidemiology (252 citations) and Endocrinology (30 citations). Tracy Tan has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Kassandra M Ori-McKenney, David C. Alexander, Jun Liu, Brigette Y. Monroy, Richard J. McKenney, Jeffrey M. Chen, Dan W. Nowakowski, Sergi Simó, Jisoo S. Han and Sergio Grinstein. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Nature Cell Biology, Journal of Bacteriology and Nature Communications.
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.