Fumou Sun
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Protein Degradation and Inhibitors 4
- Glycosylation and Glycoproteins Research 4
- Oncology 14
- CAR-T cell therapy research 6
- Chemokine receptors and signaling 5
- Co-authors
- Juan Zhang (9 shared papers)Min Wang (5 shared papers)Yan Cheng (14 shared papers)Tong Wang (4 shared papers)Suhua Qi (2 shared papers)Zhenzhen Duan (1 shared paper)Yihang Li (1 shared paper)Xiaoling Zhou (1 shared paper)
- Journals
- Blood (5 papers)Blood Cancer Journal (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Cancer Letters (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Fumou Sun
31 papers receiving 546 citations
Peers
Comparison fields: 5 of 72
- Oncology 234
- Immunology 178
- Hematology 54
- Cancer Research 57
- Biomaterials 46
Countries citing papers authored by Fumou Sun
This map shows the geographic impact of Fumou Sun'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 Fumou Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumou Sun more than expected).
Fields of papers citing papers by Fumou Sun
This network shows the impact of papers produced by Fumou Sun. 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 Fumou Sun. The network helps show where Fumou Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Fumou Sun, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 90 | |
| 2 | 2019 | 55 | |
| 3 | 2019 | 53 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 37 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2016 | 17 | |
| 12 | 2018 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2021 | 9 |
About Fumou Sun
Fumou Sun is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 556 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), CAR-T cell therapy research (6 papers), T-cell and B-cell Immunology (6 papers), Chemokine receptors and signaling (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Degradation and Inhibitors (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Oncology (234 citations), Immunology (178 citations), Hematology (54 citations), Cancer Research (57 citations) and Biomaterials (46 citations). Fumou Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Juan Zhang, Min Wang, Yan Cheng, Tong Wang, Suhua Qi, Zhenzhen Duan, Yihang Li, Xiaoling Zhou, Fu‐Gang Duan and Yang Wang. Their work appears in journals such as Blood, Blood Cancer Journal, Journal of Cancer Research and Clinical Oncology, Cancer Letters and Oncotarget.
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.