Zhenjun Tan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Traumatic Brain Injury and Neurovascular Disturbances
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neurological Disease Mechanisms and Treatments 3
- Vagus Nerve Stimulation Research 3
- Neurological Disorders and Treatments 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Charles L. Rosen (8 shared papers)Jason D. Huber (8 shared papers)Z. Josh Huang (1 shared paper)Hang Hu (1 shared paper)Ariel Agmon (1 shared paper)Ryan C. Turner (6 shared papers)Aric F. Logsdon (5 shared papers)Xinlan Li (5 shared papers)
- Journals
- Brain Research (2 papers)The FASEB Journal (2 papers)European Journal of Pharmacology (2 papers)Molecular Neurobiology (1 paper)Journal of Alzheimer s Disease (1 paper)
- Partner nations
- United States
In The Last Decade
Zhenjun Tan
14 papers receiving 494 citations
Peers
Comparison fields: 5 of 73
- Neurology 145
- Cellular and Molecular Neuroscience 168
- Cognitive Neuroscience 124
- Endocrine and Autonomic Systems 32
- Developmental Neuroscience 19
Countries citing papers authored by Zhenjun Tan
This map shows the geographic impact of Zhenjun 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 Zhenjun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenjun Tan more than expected).
Fields of papers citing papers by Zhenjun Tan
This network shows the impact of papers produced by Zhenjun 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 Zhenjun Tan. The network helps show where Zhenjun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenjun 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 | 2008 | 118 | |
| 2 | 2014 | 83 | |
| 3 | 2014 | 62 | |
| 4 | 2013 | 53 | |
| 5 | 2009 | 46 | |
| 6 | 2003 | 28 | |
| 7 | 2015 | 28 | |
| 8 | 2009 | 25 | |
| 9 | 2014 | 19 | |
| 10 | 2016 | 16 | |
| 11 | 2004 | 11 | |
| 12 | 2002 | 9 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 0 |
About Zhenjun Tan
Zhenjun Tan is a scholar working on Neurology, Physiology, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 503 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (3 papers), S100 Proteins and Annexins (3 papers), Vagus Nerve Stimulation Research (3 papers), Neurological Disorders and Treatments (3 papers), Gastrointestinal motility and disorders (2 papers), Acute Ischemic Stroke Management (2 papers), Neuroscience of respiration and sleep (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (145 citations), Cellular and Molecular Neuroscience (168 citations), Cognitive Neuroscience (124 citations), Endocrine and Autonomic Systems (32 citations) and Developmental Neuroscience (19 citations). Zhenjun Tan has collaborated with scholars based in United States. Frequent co-authors include Charles L. Rosen, Jason D. Huber, Z. Josh Huang, Hang Hu, Ariel Agmon, Ryan C. Turner, Aric F. Logsdon, Xinlan Li, Daniel L. Alkon and Brandon Lucke‐Wold. Their work appears in journals such as Brain Research, The FASEB Journal, European Journal of Pharmacology, Molecular Neurobiology and Journal of Alzheimer s Disease.
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.