Jun Tian
- Biological Psychiatry top 5%
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 29
- Neurological disorders and treatments 19
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Physiology top 2%
- Alzheimer's disease research and treatments 17
- Oncology top 5%
- Cancer survivorship and care 18
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- Genetic Neurodegenerative Diseases 10
- Neuroscience and Neuropharmacology Research 9
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- Immune Cell Function and Interaction 10
Jun Tian
220 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Biological Psychiatry 121
- Neurology 379
- Physiology 895
- Oncology 904
- Cellular and Molecular Neuroscience 580
Countries citing papers authored by Jun Tian
This map shows the geographic impact of Jun Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tian more than expected).
Fields of papers citing papers by Jun Tian
This network shows the impact of papers produced by Jun Tian. 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 Tian. The network helps show where Jun Tian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Tian, 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 | 2025 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 107 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2016 | 3 | |
| 12 | 2013 | 20 | |
| 13 | 2013 | 98 | |
| 14 | Long-term Outcomes of Immediate Instillation Combined with Conventional Instillations of high-dose Hydroxycamptothecin for Prevention of Postoperative Recurrence of Non-invasive Bladder Cancer | 2012 | 1 |
| 15 | 2012 | 146 | |
| 16 | 2011 | 8 | |
| 17 | Combination of CT perfusion imaging and MR diffusion weight imaging in diagnosis of acute cerebral infarction | 2011 | 1 |
| 18 | 2010 | 27 | |
| 19 | 2008 | 123 | |
| 20 | 2006 | 51 |
About Jun Tian
Jun Tian is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 228 papers that have together received 5.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (29 papers), Neurological disorders and treatments (19 papers), Cancer survivorship and care (18 papers), Alzheimer's disease research and treatments (17 papers), Genetic Neurodegenerative Diseases (10 papers), Immune Cell Function and Interaction (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Biological Psychiatry (121 citations), Neurology (379 citations) and Physiology (895 citations). Jun Tian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinsheng Hong, Baorong Zhang, Geoffrey M. Thiele, Matthew C. Zimmerman, Brian Giunta, Huayan Hou, Dong Wang, Yaping Yan, Jiali Pu and Demian Obregon. Their work appears in journals such as Supportive Care in Cancer, World Journal of Gastroenterology, PLoS ONE, Scientific Reports and npj Parkinson 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.