Sen Wu
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 25
- Pluripotent Stem Cells Research 13
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 5
- Genetics 27
- Animal Genetics and Reproduction 16
- Virus-based gene therapy research 8
- Co-authors
- Mario R. Capecchi (15 shared papers)Qiang Wu (3 shared papers)Guoxin Ying (3 shared papers)Yuanyuan Wu (1 shared paper)Xuguang Du (23 shared papers)Gerald J. Spangrude (1 shared paper)Petr Tvrdík (1 shared paper)Scott Cho (1 shared paper)
- Journals
- Journal of Virology (3 papers)Cellular and Molecular Life Sciences (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Discovery (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Sen Wu
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Developmental Neuroscience 160
- Neurology 203
- Biological Psychiatry 46
- Nutrition and Dietetics 233
- Molecular Biology 956
Countries citing papers authored by Sen Wu
This map shows the geographic impact of Sen Wu'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 Sen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Wu more than expected).
Fields of papers citing papers by Sen Wu
This network shows the impact of papers produced by Sen Wu. 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 Sen Wu. The network helps show where Sen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 328 | |
| 2 | 2006 | 156 | |
| 3 | 2012 | 117 | |
| 4 | 2007 | 115 | |
| 5 | 2008 | 83 | |
| 6 | 2017 | 79 | |
| 7 | 2022 | 67 | |
| 8 | 2009 | 58 | |
| 9 | 2015 | 52 | |
| 10 | 2015 | 49 | |
| 11 | 1997 | 46 | |
| 12 | 2004 | 43 | |
| 13 | 2015 | 37 | |
| 14 | 2009 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2021 | 34 | |
| 17 | 1993 | 29 | |
| 18 | 2019 | 28 | |
| 19 | 2018 | 26 | |
| 20 | 2018 | 26 |
About Sen Wu
Sen Wu is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Immunology and Surgery, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (25 papers), Animal Genetics and Reproduction (16 papers), Pluripotent Stem Cells Research (13 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (5 papers), Selenium in Biological Systems (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Developmental Neuroscience (160 citations), Neurology (203 citations), Biological Psychiatry (46 citations), Nutrition and Dietetics (233 citations) and Molecular Biology (956 citations). Sen Wu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Mario R. Capecchi, Qiang Wu, Guoxin Ying, Yuanyuan Wu, Xuguang Du, Gerald J. Spangrude, Petr Tvrdík, Scott Cho, Shau‐Kwaun Chen and John F. Atkins. Their work appears in journals such as Journal of Virology, Cellular and Molecular Life Sciences, Proceedings of the National Academy of Sciences, Cell Discovery and International Journal of Molecular Sciences.
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.