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
- Oncology 57
- Cancer Immunotherapy and Biomarkers 26
- Immunology 55
- Immunotherapy and Immune Responses 23
- Immune Cell Function and Interaction 21
- Immune cells in cancer 18
- 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)OncoImmunology (4 papers)Tumor Biology (4 papers)Cancer Biology and Medicine (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Feng Wei
136 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 1.1k
- Immunology 1.4k
- Oncology 1.3k
- Biological Psychiatry 82
- Biochemistry 218
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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 222 | |
| 2 | 2008 | 188 | |
| 3 | 2013 | 131 | |
| 4 | 2015 | 127 | |
| 5 | 2018 | 127 | |
| 6 | 2014 | 123 | |
| 7 | 2011 | 115 | |
| 8 | 2017 | 100 | |
| 9 | 2009 | 96 | |
| 10 | 2017 | 85 | |
| 11 | 2017 | 81 | |
| 12 | 2017 | 77 | |
| 13 | 2013 | 75 | |
| 14 | 2017 | 74 | |
| 15 | 2015 | 72 | |
| 16 | 2018 | 71 | |
| 17 | 2020 | 71 | |
| 18 | 2016 | 68 | |
| 19 | 2019 | 67 | |
| 20 | 2015 | 65 |
About Feng Wei
Feng Wei is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 146 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (26 papers), Immunotherapy and Immune Responses (23 papers), Cancer-related molecular mechanisms research (22 papers), Immune Cell Function and Interaction (21 papers), RNA modifications and cancer (18 papers), Immune cells in cancer (18 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.4k citations), Oncology (1.3k citations), Biological Psychiatry (82 citations) and Biochemistry (218 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, OncoImmunology, Tumor Biology and Cancer Biology and Medicine.
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.