Ivan Tan
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 16
- Cellular Mechanics and Interactions 10
- Microtubule and mitosis dynamics 6
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- Genetic Neurodegenerative Diseases 5
- Co-authors
- Thomas Leung (16 shared papers)Louis Lim (15 shared papers)Edward J. Manser (3 shared papers)Xiangqun Chen (3 shared papers)Tsui-Han Loo (1 shared paper)Zhou-shen Zhao (1 shared paper)Cheng-Gee Koh (1 shared paper)Lydia Hui-Peng Tan (1 shared paper)
- Journals
- Journal of Biological Chemistry (9 papers)Molecular and Cellular Biology (4 papers)FEBS Letters (2 papers)Nature Immunology (1 paper)Gene (1 paper)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Ivan Tan
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 941
- Immunology and Allergy 227
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 280
- Aging 24
Countries citing papers authored by Ivan Tan
This map shows the geographic impact of Ivan 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 Ivan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Tan more than expected).
Fields of papers citing papers by Ivan Tan
This network shows the impact of papers produced by Ivan 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 Ivan Tan. The network helps show where Ivan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 649 | |
| 2 | 1998 | 237 | |
| 3 | 1996 | 172 | |
| 4 | 2001 | 133 | |
| 5 | 2008 | 112 | |
| 6 | 2002 | 92 | |
| 7 | 2013 | 86 | |
| 8 | 1999 | 77 | |
| 9 | 2001 | 74 | |
| 10 | 2018 | 64 | |
| 11 | 2004 | 57 | |
| 12 | 2002 | 40 | |
| 13 | 2011 | 36 | |
| 14 | 2006 | 24 | |
| 15 | 2002 | 21 | |
| 16 | 2004 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2009 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2006 | 11 |
About Ivan Tan
Ivan Tan is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology and Allergy, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Microtubule and mitosis dynamics (6 papers), Genetic Neurodegenerative Diseases (5 papers), 14-3-3 protein interactions (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Cell Biology (941 citations), Immunology and Allergy (227 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (280 citations) and Aging (24 citations). Ivan Tan has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Thomas Leung, Louis Lim, Edward J. Manser, Xiangqun Chen, Tsui-Han Loo, Zhou-shen Zhao, Cheng-Gee Koh, Lydia Hui-Peng Tan, Chong Han Ng and Jeffery Yong. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, FEBS Letters, Nature Immunology and Gene.
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.