Yanwei Sha
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Reproductive Health and Technologies
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Genetic and Kidney Cyst Diseases
Papers in
-
- Sperm and Testicular Function 29
- Genetics 27
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 18
- Genetic and Kidney Cyst Diseases 6
- Co-authors
- Libin Mei (13 shared papers)Lu Ding (8 shared papers)Xiaoli Wei (16 shared papers)Zhiyong Ji (9 shared papers)Wensheng Liu (9 shared papers)Shaobin Lin (7 shared papers)Xianjing Huang (6 shared papers)Ping Li (4 shared papers)
In The Last Decade
Yanwei Sha
43 papers receiving 901 citations
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 608
- Genetics 554
- Public Health, Environmental and Occupational Health 468
- Pediatrics, Perinatology and Child Health 123
- Molecular Biology 323
Countries citing papers authored by Yanwei Sha
This map shows the geographic impact of Yanwei Sha'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 Yanwei Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanwei Sha more than expected).
Fields of papers citing papers by Yanwei Sha
This network shows the impact of papers produced by Yanwei Sha. 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 Yanwei Sha. The network helps show where Yanwei Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanwei Sha, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2017 | 68 | |
| 3 | 2017 | 62 | |
| 4 | 2019 | 62 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 47 | |
| 7 | 2020 | 43 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 33 | |
| 10 | 2021 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2021 | 26 | |
| 15 | 2023 | 24 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 15 |
About Yanwei Sha
Yanwei Sha is a scholar working on Reproductive Medicine, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 911 indexed citations. Recurring topics across this work include Sperm and Testicular Function (29 papers), Reproductive Biology and Fertility (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Genetic and Kidney Cyst Diseases (6 papers), Prenatal Screening and Diagnostics (6 papers), Renal and related cancers (5 papers), Sexual Differentiation and Disorders (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Reproductive Medicine (608 citations), Genetics (554 citations), Public Health, Environmental and Occupational Health (468 citations), Pediatrics, Perinatology and Child Health (123 citations) and Molecular Biology (323 citations). Yanwei Sha has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Libin Mei, Lu Ding, Xiaoli Wei, Zhiyong Ji, Wensheng Liu, Shaobin Lin, Xianjing Huang, Ping Li, Wensheng Liu and Lin Li. Their work appears in journals such as Clinical Genetics, Frontiers in Endocrinology, Journal of Medical Genetics, Acta Biochimica et Biophysica Sinica and Oncotarget.
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.