Sunlei Pan
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
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- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 1
- Co-authors
- Tingjuan Ni (4 shared papers)Xingxiao Huang (2 shared papers)Zhongqiu Lu (2 shared papers)Yulong Li (3 shared papers)Miao Jing (3 shared papers)Fei Deng (2 shared papers)Liping Meng (9 shared papers)Hui Lin (8 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Biochemical and Biophysical Research Communications (1 paper)Nature Neuroscience (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)Cardiovascular Drugs and Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Sunlei Pan
14 papers receiving 637 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 207
- Physiology 47
- Biological Psychiatry 20
- Biophysics 40
- Endocrine and Autonomic Systems 39
Countries citing papers authored by Sunlei Pan
This map shows the geographic impact of Sunlei Pan'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 Sunlei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunlei Pan more than expected).
Fields of papers citing papers by Sunlei Pan
This network shows the impact of papers produced by Sunlei Pan. 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 Sunlei Pan. The network helps show where Sunlei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunlei Pan, 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 | 2021 | 195 | |
| 2 | 2021 | 132 | |
| 3 | 2021 | 91 | |
| 4 | 2023 | 49 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 25 | |
| 8 | 2018 | 22 | |
| 9 | Folic acid inhibits dedifferentiation of PDGF-BB-induced vascular smooth muscle cells by suppressing mTOR/P70S6K signaling. | 2017 | 22 |
| 10 | 2017 | 21 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 8 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 2 |
About Sunlei Pan
Sunlei Pan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Cancer Research, having authored 14 papers that have together received 643 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Folate and B Vitamins Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (207 citations), Physiology (47 citations), Biological Psychiatry (20 citations), Biophysics (40 citations) and Endocrine and Autonomic Systems (39 citations). Sunlei Pan has collaborated with scholars based in China and United States. Frequent co-authors include Tingjuan Ni, Xingxiao Huang, Zhongqiu Lu, Yulong Li, Miao Jing, Fei Deng, Liping Meng, Hui Lin, Min Xu and Wanling Peng. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Biochemical and Biophysical Research Communications, Nature Neuroscience, Oxidative Medicine and Cellular Longevity and Cardiovascular Drugs and Therapy.
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.