Pan Su
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
-
- Cell death mechanisms and regulation 1
- Co-authors
- Jianfei Qian (3 shared papers)Qing Yi (3 shared papers)Xingzhe Ma (3 shared papers)Enguang Bi (3 shared papers)Lintao Liu (3 shared papers)Maojie Yang (3 shared papers)Qiang Wang (1 shared paper)Bing Sun (3 shared papers)
- Journals
- The Journal of Experimental Medicine (1 paper)The Journal of Immunology (1 paper)Journal of Clinical Investigation (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Pan Su
7 papers receiving 573 citations
Pan Su's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 323
- Cancer Research 229
- Oncology 94
- Molecular Biology 228
- Biological Psychiatry 6
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 | 360 |
| 2 | 2018 | 92 | |
| 3 | 2018 | 35 | |
| 4 | 2017 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 22 | |
| 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 574 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers), Cell death mechanisms and regulation (1 paper), Trace Elements in Health (1 paper), Advanced Glycation End Products research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Immunology (323 citations), Cancer Research (229 citations), Oncology (94 citations), Molecular Biology (228 citations) and Biological Psychiatry (6 citations). Pan Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jianfei Qian, Qing Yi, Xingzhe Ma, Enguang Bi, Lintao Liu, Maojie Yang, Qiang Wang, Bing Sun, Jinfang Zhu and Fang Yu. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences 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.