Feng Wei
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 2%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
- Immunology 50
- Immunotherapy and Immune Responses 21
- Immune Cell Function and Interaction 18
- Immune cells in cancer 15
- Immune Response and Inflammation 8
-
- RNA modifications and cancer 16
- Co-authors
- Xiubao Ren (47 shared papers)Jinpu Yu (24 shared papers)Wenwen Yu (20 shared papers)Yingnan Ye (7 shared papers)Qian Sun (16 shared papers)Lili Yang (16 shared papers)Hui Li (9 shared papers)Brian Dymock (8 shared papers)
- Journals
- Frontiers in Immunology (9 papers)Oncotarget (6 papers)Frontiers in Oncology (4 papers)Cancer Biology and Medicine (4 papers)OncoImmunology (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Feng Wei
137 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 1.0k
- Immunology 1.3k
- Oncology 1.1k
- Biological Psychiatry 82
- Biochemistry 228
Countries citing papers authored by Feng Wei
This map shows the geographic impact of Feng Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Wei more than expected).
Fields of papers citing papers by Feng Wei
This network shows the impact of papers produced by Feng Wei. 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 Wei. The network helps show where Feng Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Wei, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 226 | |
| 2 | 2008 | 214 | |
| 3 | 2013 | 133 | |
| 4 | 2015 | 131 | |
| 5 | 2018 | 131 | |
| 6 | 2014 | 126 | |
| 7 | 2011 | 117 | |
| 8 | 2017 | 102 | |
| 9 | 2009 | 98 | |
| 10 | 2017 | 93 | |
| 11 | 2017 | 82 | |
| 12 | 2017 | 80 | |
| 13 | 2015 | 77 | |
| 14 | 2013 | 77 | |
| 15 | 2017 | 76 | |
| 16 | 2018 | 75 | |
| 17 | 2016 | 74 | |
| 18 | 2020 | 73 | |
| 19 | 2009 | 69 | |
| 20 | 2019 | 69 |
About Feng Wei
Feng Wei is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 142 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (18 papers), Immune Cell Function and Interaction (18 papers), Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (16 papers), Immune cells in cancer (15 papers), MicroRNA in disease regulation (12 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (1.3k citations), Oncology (1.1k citations), Biological Psychiatry (82 citations) and Biochemistry (228 citations). Feng Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiubao Ren, Jinpu Yu, Wenwen Yu, Yingnan Ye, Qian Sun, Lili Yang, Hui Li, Brian Dymock, Philip K. Moore and Fan Yang. Their work appears in journals such as Frontiers in Immunology, Oncotarget, Frontiers in Oncology, Cancer Biology and Medicine and OncoImmunology.
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.