Wei Si
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Pluripotent Stem Cells Research 7
-
- Sperm and Testicular Function 26
- Co-authors
- Weizhi Ji (29 shared papers)Yaping Yan (24 shared papers)Yanchao Duan (23 shared papers)Yuyu Niu (17 shared papers)Siguo Liu (15 shared papers)András Dinnyés (2 shared papers)Yahui Li (2 shared papers)Ping Zheng (5 shared papers)
- Journals
- Theriogenology (4 papers)Research in Veterinary Science (4 papers)Cryobiology (4 papers)American Journal of Primatology (4 papers)Stem Cell Research & Therapy (3 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wei Si
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Reproductive Medicine 342
- Physiology 71
- Public Health, Environmental and Occupational Health 365
- Microbiology 72
- Genetics 112
Countries citing papers authored by Wei Si
This map shows the geographic impact of Wei Si'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 Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Si more than expected).
Fields of papers citing papers by Wei Si
This network shows the impact of papers produced by Wei Si. 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 Si. The network helps show where Wei Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Si, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 2015 | 89 | |
| 3 | 2014 | 81 | |
| 4 | 2003 | 52 | |
| 5 | 2019 | 43 | |
| 6 | 2006 | 40 | |
| 7 | 2005 | 39 | |
| 8 | 2021 | 38 | |
| 9 | 2004 | 37 | |
| 10 | 2000 | 36 | |
| 11 | 2013 | 35 | |
| 12 | 2017 | 35 | |
| 13 | 2018 | 34 | |
| 14 | 2023 | 32 | |
| 15 | 2011 | 32 | |
| 16 | 2020 | 30 | |
| 17 | 2017 | 29 | |
| 18 | 2018 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2019 | 24 |
About Wei Si
Wei Si is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Epidemiology, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (26 papers), Reproductive Biology and Fertility (25 papers), Mesenchymal stem cell research (8 papers), Bacteriophages and microbial interactions (7 papers), Pluripotent Stem Cells Research (7 papers), Microbial infections and disease research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Reproductive biology and impacts on aquatic species (6 papers). The work is most often cited by research in Reproductive Medicine (342 citations), Physiology (71 citations), Public Health, Environmental and Occupational Health (365 citations), Microbiology (72 citations) and Genetics (112 citations). Wei Si has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Weizhi Ji, Yaping Yan, Yanchao Duan, Yuyu Niu, Siguo Liu, András Dinnyés, Yahui Li, Ping Zheng, Tao Tan and Chunlai Wang. Their work appears in journals such as Theriogenology, Research in Veterinary Science, Cryobiology, American Journal of Primatology and Stem Cell Research & Therapy.
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.