Feng He
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
- Immunology 11
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Co-authors
- Rudi Balling (9 shared papers)An‐Ping Zeng (9 shared papers)Huilian Che (3 shared papers)Shiwen Han (2 shared papers)Lu Sun (1 shared paper)Sijie Wang (1 shared paper)Natnaree Siriwon (1 shared paper)John Mac (1 shared paper)
- Journals
- npj Systems Biology and Applications (3 papers)Scientific Reports (2 papers)Cancer Letters (1 paper)Journal of Orthopaedic Surgery and Research (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaLuxembourgGermany
In The Last Decade
Feng He
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 135
- Oncology 289
- Immunology 194
- Biological Psychiatry 16
- Pharmacology 53
- Immunology and Allergy 31
Countries citing papers authored by Feng He
This map shows the geographic impact of Feng He'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 Feng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng He more than expected).
Fields of papers citing papers by Feng He
This network shows the impact of papers produced by Feng He. 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 Feng He. The network helps show where Feng He may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng He, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 255 | |
| 2 | 2017 | 90 | |
| 3 | 2006 | 72 | |
| 4 | 2012 | 57 | |
| 5 | 2009 | 51 | |
| 6 | 2012 | 49 | |
| 7 | 2022 | 42 | |
| 8 | 2018 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2022 | 31 | |
| 11 | 2017 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2006 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2013 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2023 | 11 | |
| 20 | 2007 | 10 |
About Feng He
Feng He is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Artificial Intelligence, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Gene Regulatory Network Analysis (3 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Oncology (289 citations), Immunology (194 citations), Biological Psychiatry (16 citations), Pharmacology (53 citations) and Immunology and Allergy (31 citations). Feng He has collaborated with scholars based in China, Luxembourg and Germany. Frequent co-authors include Rudi Balling, An‐Ping Zeng, Huilian Che, Shiwen Han, Lu Sun, Sijie Wang, Natnaree Siriwon, John Mac, Pin Wang and Zhengfei Lu. Their work appears in journals such as npj Systems Biology and Applications, Scientific Reports, Cancer Letters, Journal of Orthopaedic Surgery and Research and Acta Pharmaceutica Sinica B.
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.