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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- Cancer Mechanisms and Therapy 2
- Spinal Cord Injury Research 2
- Co-authors
- Xiaoyu Yang (6 shared papers)Zhiping Qi (6 shared papers)Weijian Kong (5 shared papers)Chuan Fu (6 shared papers)Qinyi Liu (1 shared paper)Shuang Zheng (2 shared papers)Qiuju Li (1 shared paper)Yue Ma (3 shared papers)
- Journals
- iScience (1 paper)Biomarker Research (1 paper)International Immunopharmacology (1 paper)Cell Reports (1 paper)Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Pan Su
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 19
- Biomaterials 108
- Aging 11
- Cellular and Molecular Neuroscience 102
- Developmental Neuroscience 14
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 | 91 | |
| 2 | 2019 | 71 | |
| 3 | 2020 | 40 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 30 | |
| 6 | 2022 | 20 | |
| 7 | 2018 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2014 | 6 | |
| 11 | 2025 | 4 | |
| 12 | [Clinical and pathological characteristics of heroin spongiform leukoencephalopathy in China]. | 2001 | 2 |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 1 |
About Pan Su
Pan Su is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Biological Psychiatry, Biomedical Engineering and Endocrine and Autonomic Systems, having authored 21 papers that have together received 352 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Graphene and Nanomaterials Applications (4 papers), Tryptophan and brain disorders (4 papers), Circadian rhythm and melatonin (3 papers), Cancer Mechanisms and Therapy (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Spinal Cord Injury Research (2 papers). The work is most often cited by research in Biological Psychiatry (19 citations), Biomaterials (108 citations), Aging (11 citations), Cellular and Molecular Neuroscience (102 citations) and Developmental Neuroscience (14 citations). Pan Su has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaoyu Yang, Zhiping Qi, Weijian Kong, Chuan Fu, Qinyi Liu, Shuang Zheng, Qiuju Li, Yue Ma, James T. Willerson and Jeffrey D. Hartgerink. Their work appears in journals such as iScience, Biomarker Research, International Immunopharmacology, Cell Reports and Inflammation Research.
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.