Jinhua Wu
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 13
- Cancer Research top 10%
- MicroRNA in disease regulation 4
- Cell Biology top 5%
- Cellular Mechanics and Interactions 7
- Genetics top 10%
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- Protein Kinase Regulation and GTPase Signaling 9
- Metabolism, Diabetes, and Cancer 4
- Circular RNAs in diseases 3
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- Growth Hormone and Insulin-like Growth Factors 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Stevan R. HubbardJanet L. SmithRichard KühnAloke Kumar BeraChong‐Feng XuThomas A. NeubertOlli SilvennoinenDaniela Ungureanu
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Jinhua Wu
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Immunology and Allergy 212
- Cancer Research 237
- Cell Biology 233
- Genetics 127
- Molecular Biology 680
Countries citing papers authored by Jinhua Wu
This map shows the geographic impact of Jinhua 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 Jinhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhua Wu more than expected).
Fields of papers citing papers by Jinhua Wu
This network shows the impact of papers produced by Jinhua 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 Jinhua Wu. The network helps show where Jinhua Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinhua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 64 | |
| 11 | 2016 | 29 | |
| 12 | 2015 | 13 | |
| 13 | 2014 | 36 | |
| 14 | 2013 | 19 | |
| 15 | 2011 | 215 | |
| 16 | 2010 | 12 | |
| 17 | 2009 | 61 | |
| 18 | 2008 | 52 | |
| 19 | 2008 | 67 | |
| 20 | 2006 | 49 |
About Jinhua Wu
Jinhua Wu is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Cellular Mechanics and Interactions (7 papers), MicroRNA in disease regulation (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Immunology and Allergy (212 citations), Cancer Research (237 citations) and Cell Biology (233 citations). Jinhua Wu has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Stevan R. Hubbard, Janet L. Smith, Richard Kühn, Aloke Kumar Bera, Chong‐Feng Xu, Thomas A. Neubert, Olli Silvennoinen, Daniela Ungureanu, Radek C. Skoda and Rafael S. Depetris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.