Jun Tan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Circular RNAs in diseases 5
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- R. Douglas Shytle (4 shared papers)Terrence Town (4 shared papers)Paula C. Bickford (3 shared papers)Paul R. Sanberg (3 shared papers)Fiona Crawford (2 shared papers)Michael Mullan (2 shared papers)Kandiah Jeyaseelan (4 shared papers)Arunmozhiarasi Armugam (4 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Journal of Neuroimmunology (2 papers)PLoS ONE (2 papers)Bioscience Reports (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Tan
26 papers receiving 894 citations
Peers
Comparison fields: 5 of 99
- Neurology 231
- Biological Psychiatry 55
- Cancer Research 173
- Immunology 157
- Developmental Neuroscience 30
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 154 | |
| 2 | 2000 | 116 | |
| 3 | 2009 | 85 | |
| 4 | 1999 | 72 | |
| 5 | 2016 | 68 | |
| 6 | 2017 | 63 | |
| 7 | 2010 | 54 | |
| 8 | 2013 | 53 | |
| 9 | MSM ameliorates HIV-1 Tat induced neuronal oxidative stress via rebalance of the glutathione cycle. | 2015 | 28 |
| 10 | 2016 | 21 | |
| 11 | 2005 | 21 | |
| 12 | 2004 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2007 | 12 |
About Jun Tan
Jun Tan is a scholar working on Molecular Biology, Epidemiology, Neurology, Cancer Research and Physiology, having authored 28 papers that have together received 914 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), Alzheimer's disease research and treatments (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Bone health and osteoporosis research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Neurology (231 citations), Biological Psychiatry (55 citations), Cancer Research (173 citations), Immunology (157 citations) and Developmental Neuroscience (30 citations). Jun Tan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include R. Douglas Shytle, Terrence Town, Paula C. Bickford, Paul R. Sanberg, Fiona Crawford, Michael Mullan, Kandiah Jeyaseelan, Arunmozhiarasi Armugam, Yun Bai and Jared Ehrhart. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cerebral Blood Flow & Metabolism, Journal of Neuroimmunology, PLoS ONE and Bioscience Reports.
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.