Wei Yu
Impact in
- Hepatology top 2%
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- MicroRNA in disease regulation 11
- Urology 7
- Co-authors
- Marie Annick Buendia (4 shared papers)Christine Neuveut (6 shared papers)Charlotte Labalette (8 shared papers)Claire-Angélique Renard (6 shared papers)Marie‐Annick Buendia (12 shared papers)Jeanne Tran Van Nhieu (3 shared papers)Biaoyang Lin (11 shared papers)Claire Renard (2 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Oncology (4 papers)PLoS ONE (4 papers)Molecular and Cellular Biology (4 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wei Yu
125 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 128
- Hepatology 445
- Cancer Research 764
- Molecular Biology 2.5k
- Oncology 829
- Epidemiology 637
Countries citing papers authored by Wei Yu
This map shows the geographic impact of Wei Yu'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 Wei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yu more than expected).
Fields of papers citing papers by Wei Yu
This network shows the impact of papers produced by Wei Yu. 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 Wei Yu. The network helps show where Wei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Yu, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 335 | |
| 2 | 1999 | 251 | |
| 3 | 2004 | 181 | |
| 4 | 2020 | 177 | |
| 5 | 2012 | 151 | |
| 6 | 2017 | 146 | |
| 7 | 2011 | 137 | |
| 8 | 2002 | 127 | |
| 9 | 2000 | 126 | |
| 10 | 2003 | 122 | |
| 11 | 2007 | 120 | |
| 12 | 1999 | 99 | |
| 13 | 2004 | 99 | |
| 14 | 2020 | 89 | |
| 15 | 2011 | 86 | |
| 16 | 2013 | 77 | |
| 17 | 2016 | 62 | |
| 18 | 2013 | 61 | |
| 19 | 2020 | 61 | |
| 20 | 2018 | 60 |
About Wei Yu
Wei Yu is a scholar working on Cancer Research, Urology, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 132 papers that have together received 4.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), RNA modifications and cancer (14 papers), Prostate Cancer Diagnosis and Treatment (13 papers), Cancer-related gene regulation (12 papers), Wnt/β-catenin signaling in development and cancer (11 papers), MicroRNA in disease regulation (11 papers), Hepatitis B Virus Studies (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Hepatology (445 citations), Cancer Research (764 citations), Molecular Biology (2.5k citations), Oncology (829 citations) and Epidemiology (637 citations). Wei Yu has collaborated with scholars based in China, United States and France. Frequent co-authors include Marie Annick Buendia, Christine Neuveut, Charlotte Labalette, Claire-Angélique Renard, Marie‐Annick Buendia, Jeanne Tran Van Nhieu, Biaoyang Lin, Claire Renard, Laurence Lévy and Qichun Wei. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, PLoS ONE, Molecular and Cellular Biology and Journal of Cancer.
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.