Pan Su
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Toxin Mechanisms and Immunotoxins 1
- Immune Response and Inflammation 1
- Co-authors
- Enguang Bi (3 shared papers)Lintao Liu (3 shared papers)Qing Yi (3 shared papers)Xingzhe Ma (3 shared papers)Maojie Yang (3 shared papers)Jianfei Qian (3 shared papers)Qiang Wang (1 shared paper)Bing Sun (2 shared papers)
- Journals
- Journal of Clinical Investigation (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Pan Su
7 papers receiving 614 citations
Pan Su's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 217
- Immunology 314
- Oncology 87
- Molecular Biology 214
- Biological Psychiatry 4
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
| # | Work | ||
|---|---|---|---|
| 1 | Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages Hit paper breakdown → | 2020 | 390 |
| 2 | 2018 | 97 | |
| 3 | 2018 | 37 | |
| 4 | 2017 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 1 |
About Pan Su
Pan Su is a scholar working on Immunology, Molecular Biology, Clinical Biochemistry, Nutrition and Dietetics and Endocrinology, having authored 7 papers that have together received 614 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Cell Adhesion Molecules Research (1 paper), Advanced Glycation End Products research (1 paper), Trace Elements in Health (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Cancer Research (217 citations), Immunology (314 citations), Oncology (87 citations), Molecular Biology (214 citations) and Biological Psychiatry (4 citations). Pan Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Enguang Bi, Lintao Liu, Qing Yi, Xingzhe Ma, Maojie Yang, Jianfei Qian, Qiang Wang, Bing Sun, Fang Yu and Jinfang Zhu. Their work appears in journals such as Journal of Clinical Investigation, Blood, Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer 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.