Su Pan
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
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- Graphene and Nanomaterials Applications 6
- Bone Tissue Engineering Materials 5
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- Nerve injury and regeneration 8
- Co-authors
- Jianfei Qian (2 shared papers)Qing Yi (2 shared papers)Qiang Wang (2 shared papers)Aijun Zhang (1 shared paper)Yong Lu (1 shared paper)Xingzhe Ma (1 shared paper)Enguang Bi (1 shared paper)Matthew F. Kalady (1 shared paper)
- Journals
- International Journal of Nanomedicine (3 papers)International Journal of Machine Learning and Cybernetics (2 papers)Scientific Reports (2 papers)RSC Advances (2 papers)Cell Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Su Pan
24 papers receiving 1.2k citations
Su Pan's Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 319
- Immunology 328
- Biomaterials 127
- Oncology 252
- Biomedical Engineering 252
Countries citing papers authored by Su Pan
This map shows the geographic impact of Su 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 Su Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Pan more than expected).
Fields of papers citing papers by Su Pan
This network shows the impact of papers produced by Su 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 Su Pan. The network helps show where Su Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Su 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment Hit paper breakdown → | 2019 | 697 |
| 2 | 2017 | 67 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 41 | |
| 5 | 2018 | 39 | |
| 6 | 2023 | 36 | |
| 7 | 2003 | 35 | |
| 8 | 2017 | 31 | |
| 9 | 2021 | 25 | |
| 10 | 2023 | 21 | |
| 11 | 2018 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2017 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2020 | 9 | |
| 17 | Predicting the degree of rurality of physician assistant practice location. | 1996 | 8 |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2014 | 4 |
About Su Pan
Su Pan is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Biomaterials, Molecular Biology and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nerve injury and regeneration (8 papers), Graphene and Nanomaterials Applications (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Bone Tissue Engineering Materials (5 papers), Spinal Cord Injury Research (3 papers), Glaucoma and retinal disorders (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Cancer Research (319 citations), Immunology (328 citations), Biomaterials (127 citations), Oncology (252 citations) and Biomedical Engineering (252 citations). Su Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianfei Qian, Qing Yi, Qiang Wang, Aijun Zhang, Yong Lu, Xingzhe Ma, Enguang Bi, Matthew F. Kalady, Lintao Liu and Maojie Yang. Their work appears in journals such as International Journal of Nanomedicine, International Journal of Machine Learning and Cybernetics, Scientific Reports, RSC Advances and Cell Metabolism.
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.