Serena Tan
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Cellular transport and secretion 2
- Microtubule and mitosis dynamics 2
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- Signaling Pathways in Disease 1
- Ion channel regulation and function 1
- Co-authors
- Richard B. Vallee (2 shared papers)Julian Scherer (1 shared paper)J. Paul Fawcett (1 shared paper)Gregg G. Gundersen (1 shared paper)Jan Schmoranzer (1 shared paper)Tony Pawson (1 shared paper)Peter K. Kim (1 shared paper)Sung Ho Ryu (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Nature reviews. Cancer (1 paper)The Journal of Comparative Neurology (1 paper)Current Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Serena Tan
6 papers receiving 436 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 197
- Developmental Neuroscience 40
- Cellular and Molecular Neuroscience 141
- Molecular Biology 283
- Aging 4
Countries citing papers authored by Serena Tan
This map shows the geographic impact of Serena 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 Serena Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Tan more than expected).
Fields of papers citing papers by Serena Tan
This network shows the impact of papers produced by Serena 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 Serena Tan. The network helps show where Serena Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena 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 | 2003 | 167 | |
| 2 | 2009 | 151 | |
| 3 | 2010 | 69 | |
| 4 | 2015 | 31 | |
| 5 | 2015 | 23 | |
| 6 | 2012 | 1 |
About Serena Tan
Serena Tan is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Allergy and Oncology, having authored 6 papers that have together received 442 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Cellular transport and secretion (2 papers), Microtubule and mitosis dynamics (2 papers), Signaling Pathways in Disease (1 paper), Nerve injury and regeneration (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Cell Image Analysis Techniques (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cell Biology (197 citations), Developmental Neuroscience (40 citations), Cellular and Molecular Neuroscience (141 citations), Molecular Biology (283 citations) and Aging (4 citations). Serena Tan has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Richard B. Vallee, Julian Scherer, J. Paul Fawcett, Gregg G. Gundersen, Jan Schmoranzer, Tony Pawson, Peter K. Kim, Sung Ho Ryu, Moses V. Chao and Natalie Landman. Their work appears in journals such as Molecular Biology of the Cell, Nature reviews. Cancer, The Journal of Comparative Neurology, Current Biology and Journal of Biological Chemistry.
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.