Wei Wu
Impact in
- Reproductive Medicine top 0.5%
- Sperm and Testicular Function
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Sexual Differentiation and Disorders 10
-
- Sperm and Testicular Function 28
- Co-authors
- Xinru Wang (60 shared papers)Yankai Xia (66 shared papers)Chuncheng Lu (38 shared papers)Qiuqin Tang (36 shared papers)Yufeng Qin (24 shared papers)Shoulin Wang (13 shared papers)Minjian Chen (19 shared papers)Ouxi Shen (6 shared papers)
- Journals
- PLoS ONE (11 papers)Scientific Reports (9 papers)Ecotoxicology and Environmental Safety (5 papers)Oncotarget (5 papers)Gene (5 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei Wu
171 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 147
- Reproductive Medicine 772
- Cancer Research 604
- Health, Toxicology and Mutagenesis 473
- Obstetrics and Gynecology 170
- Genetics 495
Countries citing papers authored by Wei Wu
This map shows the geographic impact of Wei Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wu more than expected).
Fields of papers citing papers by Wei Wu
This network shows the impact of papers produced by Wei Wu. 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 Wu. The network helps show where Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Wu, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2003 | 135 | |
| 3 | 2012 | 132 | |
| 4 | 2013 | 117 | |
| 5 | 2010 | 113 | |
| 6 | 2004 | 91 | |
| 7 | 2020 | 84 | |
| 8 | 2008 | 78 | |
| 9 | 2017 | 77 | |
| 10 | 2018 | 75 | |
| 11 | 2015 | 64 | |
| 12 | 2017 | 61 | |
| 13 | 2013 | 59 | |
| 14 | 2017 | 57 | |
| 15 | 2015 | 57 | |
| 16 | 2018 | 57 | |
| 17 | 2017 | 50 | |
| 18 | 2011 | 44 | |
| 19 | 2006 | 42 | |
| 20 | 2013 | 41 |
About Wei Wu
Wei Wu is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 180 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (28 papers), Lymphoma Diagnosis and Treatment (16 papers), MicroRNA in disease regulation (15 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers), Sexual Differentiation and Disorders (10 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Reproductive Biology and Fertility (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Reproductive Medicine (772 citations), Cancer Research (604 citations), Health, Toxicology and Mutagenesis (473 citations), Obstetrics and Gynecology (170 citations) and Genetics (495 citations). Wei Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xinru Wang, Yankai Xia, Chuncheng Lu, Qiuqin Tang, Yufeng Qin, Shoulin Wang, Minjian Chen, Ouxi Shen, Jiahao Sha and Daozhen Chen. Their work appears in journals such as PLoS ONE, Scientific Reports, Ecotoxicology and Environmental Safety, Oncotarget and Gene.
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.