Jun Tan
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 62
- Alzheimer's disease research and treatments 58
- Neurology 36
- Neuroinflammation and Neurodegeneration Mechanisms 34
- Co-authors
- Terrence Town (30 shared papers)Michael Mullan (14 shared papers)Brian Giunta (31 shared papers)Gary W. Arendash (9 shared papers)Demian Obregon (20 shared papers)Takashi Mori (8 shared papers)R. Douglas Shytle (12 shared papers)Richard A. Flavell (4 shared papers)
- Journals
- Cell Transplantation (6 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (4 papers)Journal of Neuroimmunology (3 papers)Alzheimer s & Dementia (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jun Tan
119 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 150
- Biological Psychiatry 753
- Neurology 2.0k
- Physiology 2.7k
- Virology 294
- Pharmacology 1.0k
Countries citing papers authored by Jun Tan
This map shows the geographic impact of Jun 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 Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tan more than expected).
Fields of papers citing papers by Jun Tan
This network shows the impact of papers produced by Jun 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 Jun Tan. The network helps show where Jun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 359 | |
| 2 | 2005 | 323 | |
| 3 | 1999 | 298 | |
| 4 | 2008 | 241 | |
| 5 | 2009 | 228 | |
| 6 | 2010 | 202 | |
| 7 | 2010 | 186 | |
| 8 | 2009 | 172 | |
| 9 | 2010 | 168 | |
| 10 | 2005 | 159 | |
| 11 | 2006 | 158 | |
| 12 | 2013 | 156 | |
| 13 | 2005 | 153 | |
| 14 | 2011 | 152 | |
| 15 | 2012 | 140 | |
| 16 | 2004 | 138 | |
| 17 | 2016 | 136 | |
| 18 | 2014 | 128 | |
| 19 | 2008 | 123 | |
| 20 | 2005 | 106 |
About Jun Tan
Jun Tan is a scholar working on Physiology, Neurology, Molecular Biology, Immunology and Biological Psychiatry, having authored 124 papers that have together received 6.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (58 papers), Neuroinflammation and Neurodegeneration Mechanisms (34 papers), Tryptophan and brain disorders (15 papers), Immune Response and Inflammation (15 papers), HIV Research and Treatment (10 papers), Immune cells in cancer (7 papers), Legume Nitrogen Fixing Symbiosis (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Biological Psychiatry (753 citations), Neurology (2.0k citations), Physiology (2.7k citations), Virology (294 citations) and Pharmacology (1.0k citations). Jun Tan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Terrence Town, Michael Mullan, Brian Giunta, Gary W. Arendash, Demian Obregon, Takashi Mori, R. Douglas Shytle, Richard A. Flavell, Francisco Arnalich and Naoki Koyama. Their work appears in journals such as Cell Transplantation, Journal of Biological Chemistry, PLoS ONE, Journal of Neuroimmunology and Alzheimer s & Dementia.
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.