Feixue Wei
Impact in
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
- Cytomegalovirus and herpesvirus research
-
- Reproductive tract infections research
Papers in
- Epidemiology 16
- Cervical Cancer and HPV Research 13
- Hepatitis B Virus Studies 2
- Cytomegalovirus and herpesvirus research 1
- Surgery 6
- Genital Health and Disease 5
- Colorectal and Anal Carcinomas 3
- Co-authors
- Gary M. Clifford (3 shared papers)Iacopo Baussano (1 shared paper)Damien Georges (2 shared papers)Irene Man (1 shared paper)Ningshao Xia (12 shared papers)Ting Wu (11 shared papers)Jun Zhang (11 shared papers)Shoujie Huang (9 shared papers)
- Journals
- The Journal of Infectious Diseases (3 papers)Emerging Microbes & Infections (2 papers)International Journal of Cancer (2 papers)Vaccine (2 papers)Theranostics (1 paper)
- Partner nations
- ChinaFranceNetherlands
In The Last Decade
Feixue Wei
16 papers receiving 377 citations
Feixue Wei's Hit Papers
Peers
Comparison fields: 5 of 48
- Epidemiology 304
- Microbiology 21
- Hepatology 22
- Immunology 43
- Obstetrics and Gynecology 13
Countries citing papers authored by Feixue Wei
This map shows the geographic impact of Feixue 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 Feixue Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixue Wei more than expected).
Fields of papers citing papers by Feixue Wei
This network shows the impact of papers produced by Feixue 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 Feixue Wei. The network helps show where Feixue Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Feixue 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
| # | Work | ||
|---|---|---|---|
| 1 | Causal attribution of human papillomavirus genotypes to invasive cervical cancer worldwide: a systematic analysis of the global literature Hit paper breakdown → | 2024 | 138 |
| 2 | 2019 | 40 | |
| 3 | 2016 | 33 | |
| 4 | 2018 | 31 | |
| 5 | 2015 | 24 | |
| 6 | 2015 | 22 | |
| 7 | 2017 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2016 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 |
About Feixue Wei
Feixue Wei is a scholar working on Epidemiology, Surgery, Virology, Urology and Microbiology, having authored 18 papers that have together received 387 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (13 papers), Genital Health and Disease (5 papers), Colorectal and Anal Carcinomas (3 papers), Hepatitis B Virus Studies (2 papers), Poxvirus research and outbreaks (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Urological Disorders and Treatments (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Epidemiology (304 citations), Microbiology (21 citations), Hepatology (22 citations), Immunology (43 citations) and Obstetrics and Gynecology (13 citations). Feixue Wei has collaborated with scholars based in China, France and Netherlands. Frequent co-authors include Gary M. Clifford, Iacopo Baussano, Damien Georges, Irene Man, Ningshao Xia, Ting Wu, Jun Zhang, Shoujie Huang, Mingqiang Li and Yingying Su. Their work appears in journals such as The Journal of Infectious Diseases, Emerging Microbes & Infections, International Journal of Cancer, Vaccine and Theranostics.
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.