Wei-Wu He
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Signaling Pathways in Disease
- RNA modifications and cancer
- TGF-β signaling in diseases
- Congenital heart defects research
- Immunology top 10%
- interferon and immune responses
Papers in
-
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- Genetics 4
- Genetic Syndromes and Imprinting 2
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Gregory D. Jay (3 shared papers)Kazuyuki Fujita (1 shared paper)Charles J. Bieberich (1 shared paper)Yuan Li (1 shared paper)En Li (1 shared paper)Katsuzumi Okumura (1 shared paper)Masahiro Nogami (1 shared paper)Shaoping Xie (1 shared paper)
- Journals
- Blood (2 papers)iScience (1 paper)Gene (1 paper)International Journal of Developmental Neuroscience (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wei-Wu He
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.0k
- Immunology 221
- Cancer Research 134
- Oncology 198
- Genetics 194
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
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 318 | |
| 2 | 1998 | 203 | |
| 3 | 1999 | 199 | |
| 4 | 1996 | 183 | |
| 5 | 2012 | 120 | |
| 6 | 1999 | 92 | |
| 7 | 1990 | 88 | |
| 8 | 2012 | 37 | |
| 9 | 2019 | 34 | |
| 10 | 2008 | 29 | |
| 11 | 2004 | 17 | |
| 12 | 2009 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 5 | |
| 15 | 1999 | 5 | |
| 16 | 2005 | 4 |
About Wei-Wu He
Wei-Wu He is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetic Syndromes and Imprinting (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Pluripotent Stem Cells Research (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Immunology (221 citations), Cancer Research (134 citations), Oncology (198 citations) and Genetics (194 citations). Wei-Wu He has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Gregory D. Jay, Kazuyuki Fujita, Charles J. Bieberich, Yuan Li, En Li, Katsuzumi Okumura, Masahiro Nogami, Shaoping Xie, Zhenjuan Wang and Masaki Okano. Their work appears in journals such as Blood, iScience, Gene, International Journal of Developmental Neuroscience and Cell Reports.
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.