Wei Si
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
Papers in
-
- Sperm and Testicular Function 23
- Genetics 12
- Mesenchymal stem cell research 12
- Animal Genetics and Reproduction 3
- Co-authors
- Weizhi Ji (32 shared papers)Yaping Yan (25 shared papers)Yanchao Duan (24 shared papers)Yuyu Niu (17 shared papers)Ping Zheng (4 shared papers)András Dinnyés (2 shared papers)Tao Tan (7 shared papers)Hongsheng Men (3 shared papers)
- Journals
- Cryobiology (4 papers)American Journal of Primatology (4 papers)Theriogenology (4 papers)Stem Cell Research & Therapy (3 papers)Cell (3 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wei Si
68 papers receiving 2.6k citations
Wei Si's Hit Papers
Peers
Comparison fields: 5 of 107
- Reproductive Medicine 362
- Molecular Biology 1.4k
- Genetics 149
- Genetics 391
- Developmental Neuroscience 24
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generation of Gene-Modified Cynomolgus Monkey via Cas9/RNA-Mediated Gene Targeting in One-Cell Embryos Hit paper breakdown → | 2014 | 868 |
| 2 | 2014 | 171 | |
| 3 | 2019 | 147 | |
| 4 | 2019 | 122 | |
| 5 | 2015 | 101 | |
| 6 | 2021 | 92 | |
| 7 | 2014 | 85 | |
| 8 | 2010 | 79 | |
| 9 | 2003 | 56 | |
| 10 | 2019 | 45 | |
| 11 | 2005 | 44 | |
| 12 | 2006 | 43 | |
| 13 | 2021 | 43 | |
| 14 | 2017 | 42 | |
| 15 | 2000 | 39 | |
| 16 | 2004 | 38 | |
| 17 | 2023 | 35 | |
| 18 | 2018 | 34 | |
| 19 | 2020 | 31 | |
| 20 | 2001 | 27 |
About Wei Si
Wei Si is a scholar working on Reproductive Medicine, Genetics, Neurology, Molecular Biology and Genetics, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (23 papers), Mesenchymal stem cell research (12 papers), Reproductive Biology and Fertility (6 papers), Pluripotent Stem Cells Research (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Gut microbiota and health (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Reproductive Medicine (362 citations), Molecular Biology (1.4k citations), Genetics (149 citations), Genetics (391 citations) and Developmental Neuroscience (24 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, Ping Zheng, András Dinnyés, Tao Tan, Hongsheng Men, John K. Critser and James D. Benson. Their work appears in journals such as Cryobiology, American Journal of Primatology, Theriogenology, Stem Cell Research & Therapy and Cell.
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.