Wei-Wu He
Impact in
- Molecular Biology top 5%
- Cell death mechanisms and regulation
- Epigenetics and DNA Methylation
- Signaling Pathways in Disease
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Immunology top 5%
- interferon and immune responses
Papers in
-
- Cell death mechanisms and regulation 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- Genetics 5
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Vishva M. Dixit (2 shared papers)Arul M. Chinnaiyan (2 shared papers)Hangjun Duan (2 shared papers)John P. Wing (1 shared paper)Peter Hudson (1 shared paper)Kazuyuki Fujita (1 shared paper)Charles J. Bieberich (1 shared paper)Shaoping Xie (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Blood (2 papers)iScience (1 paper)Clinical Cancer Research (1 paper)Gene (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Wei-Wu He
21 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.7k
- Immunology 407
- Cancer Research 210
- Oncology 331
- Genetics 237
Countries citing papers authored by Wei-Wu He
This map shows the geographic impact of Wei-Wu He'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-Wu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Wu He more than expected).
Fields of papers citing papers by Wei-Wu He
This network shows the impact of papers produced by Wei-Wu He. 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-Wu He. The network helps show where Wei-Wu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Wu He, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 319 | |
| 2 | 1996 | 306 | |
| 3 | 1996 | 277 | |
| 4 | 1998 | 203 | |
| 5 | 1999 | 198 | |
| 6 | 1996 | 183 | |
| 7 | 2008 | 143 | |
| 8 | 2012 | 123 | |
| 9 | 1999 | 92 | |
| 10 | 2001 | 91 | |
| 11 | 1990 | 87 | |
| 12 | 2017 | 45 | |
| 13 | 2012 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2008 | 29 | |
| 16 | 2004 | 17 | |
| 17 | 2009 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 1999 | 5 | |
| 20 | 2019 | 5 |
About Wei-Wu He
Wei-Wu He is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Pluripotent Stem Cells Research (2 papers), interferon and immune responses (2 papers), Viral-associated cancers and disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Immunology (407 citations), Cancer Research (210 citations), Oncology (331 citations) and Genetics (237 citations). Wei-Wu He has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Vishva M. Dixit, Arul M. Chinnaiyan, Hangjun Duan, John P. Wing, Peter Hudson, Kazuyuki Fujita, Charles J. Bieberich, Shaoping Xie, Zhenjuan Wang and Kim Orth. Their work appears in journals such as Journal of Biological Chemistry, Blood, iScience, Clinical Cancer Research and Gene.
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.