Wei Le
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
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- DNA Repair Mechanisms 4
-
- Sperm and Testicular Function 4
- Ovarian function and disorders 2
- Co-authors
- Glenn D. Rosen (2 shared papers)Daya Upadhyay (3 shared papers)Chengdang Xu (2 shared papers)Bujun Ge (1 shared paper)Jingmei Zhang (1 shared paper)Denglong Wu (5 shared papers)Andrew J. Ghio (1 shared paper)J. Zhang (1 shared paper)
- Journals
- SpringerPlus (1 paper)Andrologia (1 paper)Journal of Biophotonics (1 paper)Experimental Biology and Medicine (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei Le
27 papers receiving 475 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 144
- Reproductive Medicine 42
- Molecular Biology 218
- Biophysics 12
- Pulmonary and Respiratory Medicine 58
Countries citing papers authored by Wei Le
This map shows the geographic impact of Wei Le'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 Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Le more than expected).
Fields of papers citing papers by Wei Le
This network shows the impact of papers produced by Wei Le. 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 Le. The network helps show where Wei Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Le, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 101 | |
| 2 | 2008 | 80 | |
| 3 | 2019 | 52 | |
| 4 | 2008 | 51 | |
| 5 | 2015 | 40 | |
| 6 | 2010 | 26 | |
| 7 | 2022 | 15 | |
| 8 | 2012 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2011 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 5 | |
| 19 | The effect of different grazing systems on aboveground biomass and interspecific relationships in desert steppe | 2012 | 3 |
| 20 | 2023 | 3 |
About Wei Le
Wei Le is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 30 papers that have together received 481 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (4 papers), Cancer, Lipids, and Metabolism (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Ovarian function and disorders (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (144 citations), Reproductive Medicine (42 citations), Molecular Biology (218 citations), Biophysics (12 citations) and Pulmonary and Respiratory Medicine (58 citations). Wei Le has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Glenn D. Rosen, Daya Upadhyay, Chengdang Xu, Bujun Ge, Jingmei Zhang, Denglong Wu, Andrew J. Ghio, J. Zhang, Shao-Hua Su and Peter H. Hwang. Their work appears in journals such as SpringerPlus, Andrologia, Journal of Biophotonics, Experimental Biology and Medicine 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.