Wei Cui
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
-
- Reproductive Biology and Fertility
Papers in
-
- Pluripotent Stem Cells Research 14
- RNA Research and Splicing 12
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 6
- Renal and related cancers 5
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- Reproductive Biology and Fertility 26
- Co-authors
- Jesse Mager (16 shared papers)Chelsea Marcho (4 shared papers)Jing‐He Tan (14 shared papers)Qiong Wu (10 shared papers)Hua-Yu Lian (6 shared papers)M. A. Karim Rumi (3 shared papers)Michael J. Soares (3 shared papers)Pramod Dhakal (3 shared papers)
- Journals
- Biology of Reproduction (9 papers)PLoS ONE (7 papers)Scientific Reports (4 papers)Frontiers in Microbiology (3 papers)Reproduction (3 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Wei Cui
75 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Reproductive Medicine 233
- Public Health, Environmental and Occupational Health 459
- Obstetrics and Gynecology 110
- Cancer Research 185
- Molecular Biology 787
Countries citing papers authored by Wei Cui
This map shows the geographic impact of Wei Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Cui more than expected).
Fields of papers citing papers by Wei Cui
This network shows the impact of papers produced by Wei Cui. 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 Cui. The network helps show where Wei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Cui, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 100 | |
| 2 | 2017 | 99 | |
| 3 | 2016 | 94 | |
| 4 | 2016 | 88 | |
| 5 | 2003 | 63 | |
| 6 | 2013 | 57 | |
| 7 | 2017 | 56 | |
| 8 | 2016 | 55 | |
| 9 | 2013 | 54 | |
| 10 | 2011 | 49 | |
| 11 | 2011 | 45 | |
| 12 | 2015 | 45 | |
| 13 | 2011 | 41 | |
| 14 | 2021 | 41 | |
| 15 | 2018 | 35 | |
| 16 | 2012 | 34 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2020 | 28 |
About Wei Cui
Wei Cui is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Cancer Research and Genetics, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (26 papers), Pluripotent Stem Cells Research (14 papers), RNA Research and Splicing (12 papers), Sperm and Testicular Function (12 papers), Cancer-related molecular mechanisms research (9 papers), Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (6 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Reproductive Medicine (233 citations), Public Health, Environmental and Occupational Health (459 citations), Obstetrics and Gynecology (110 citations), Cancer Research (185 citations) and Molecular Biology (787 citations). Wei Cui has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Jesse Mager, Chelsea Marcho, Jing‐He Tan, Qiong Wu, Hua-Yu Lian, M. A. Karim Rumi, Michael J. Soares, Pramod Dhakal, Yongsheng Wang and Paula M. Sweet. Their work appears in journals such as Biology of Reproduction, PLoS ONE, Scientific Reports, Frontiers in Microbiology and Reproduction.
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.