Pan Su
Impact in
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- Tryptophan and brain disorders
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
Papers in
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- Nerve injury and regeneration 6
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- Tryptophan and brain disorders 5
- Co-authors
- Weijian Kong (5 shared papers)Xiaoyu Yang (6 shared papers)Zhiping Qi (6 shared papers)Chuan Fu (6 shared papers)Shuang Zheng (2 shared papers)Yue Ma (3 shared papers)Qiuju Li (1 shared paper)Qinyi Liu (1 shared paper)
- Journals
- Biomarker Research (1 paper)Inflammation Research (1 paper)iScience (1 paper)Materials & Design (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Pan Su
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 81
- Biological Psychiatry 23
- Biomaterials 106
- Aging 10
- Cellular and Molecular Neuroscience 103
- Behavioral Neuroscience 15
Countries citing papers authored by Pan Su
This map shows the geographic impact of Pan Su'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 Pan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Su more than expected).
Fields of papers citing papers by Pan Su
This network shows the impact of papers produced by Pan Su. 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 Pan Su. The network helps show where Pan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Su, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2019 | 69 | |
| 3 | 2020 | 38 | |
| 4 | 2021 | 36 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 8 | |
| 10 | 2014 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2018 | 2 | |
| 14 | [Clinical and pathological characteristics of heroin spongiform leukoencephalopathy in China]. | 2001 | 2 |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Pan Su
Pan Su is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Neurology, Pathology and Forensic Medicine and Biomedical Engineering, having authored 21 papers that have together received 334 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Tryptophan and brain disorders (5 papers), Graphene and Nanomaterials Applications (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Circadian rhythm and melatonin (3 papers), Stress Responses and Cortisol (3 papers), Macrophage Migration Inhibitory Factor (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Biomaterials (106 citations), Aging (10 citations), Cellular and Molecular Neuroscience (103 citations) and Behavioral Neuroscience (15 citations). Pan Su has collaborated with scholars based in China, United States and India. Frequent co-authors include Weijian Kong, Xiaoyu Yang, Zhiping Qi, Chuan Fu, Shuang Zheng, Yue Ma, Qiuju Li, Qinyi Liu, Siyu Shi and Qi Liu. Their work appears in journals such as Biomarker Research, Inflammation Research, iScience, Materials & Design and Cell 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.