Jun Wu
Impact in
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Genetics 21
- Mesenchymal stem cell research 21
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- Sphingolipid Metabolism and Signaling 13
- Fungal and yeast genetics research 7
- Congenital heart defects research 7
- Co-authors
- Ren‐Ke Li (43 shared papers)Richard D. Weisel (30 shared papers)Gregory M. Fahy (3 shared papers)Brian G. Wowk (2 shared papers)Tai-Wing Wu (14 shared papers)Hsing‐Wen Sung (9 shared papers)Sharon J. Paynter (1 shared paper)Rui‐Dong Duan (11 shared papers)
- Journals
- Life Sciences (6 papers)Cell Transplantation (4 papers)Vaccines (4 papers)Biomaterials (4 papers)Journal of Controlled Release (3 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Jun Wu
141 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 129
- Molecular Medicine 352
- Genetics 406
- Cellular and Molecular Neuroscience 376
- Surgery 928
- Biochemistry 128
Countries citing papers authored by Jun Wu
This map shows the geographic impact of Jun 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 Jun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu more than expected).
Fields of papers citing papers by Jun Wu
This network shows the impact of papers produced by Jun 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 Jun Wu. The network helps show where Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 274 | |
| 2 | 2004 | 265 | |
| 3 | 2015 | 243 | |
| 4 | 1985 | 212 | |
| 5 | 1996 | 173 | |
| 6 | 2010 | 142 | |
| 7 | 2018 | 140 | |
| 8 | 2003 | 129 | |
| 9 | 2019 | 122 | |
| 10 | 2007 | 118 | |
| 11 | 1997 | 113 | |
| 12 | 1993 | 106 | |
| 13 | 1991 | 100 | |
| 14 | 1985 | 90 | |
| 15 | 2009 | 82 | |
| 16 | 2016 | 81 | |
| 17 | 2020 | 78 | |
| 18 | 2020 | 74 | |
| 19 | 2020 | 74 | |
| 20 | 2013 | 73 |
About Jun Wu
Jun Wu is a scholar working on Genetics, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 143 papers that have together received 5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (21 papers), Tissue Engineering and Regenerative Medicine (19 papers), Sphingolipid Metabolism and Signaling (13 papers), Cardiac Fibrosis and Remodeling (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Fungal and yeast genetics research (7 papers) and Congenital heart defects research (7 papers). The work is most often cited by research in Molecular Medicine (352 citations), Genetics (406 citations), Cellular and Molecular Neuroscience (376 citations), Surgery (928 citations) and Biochemistry (128 citations). Jun Wu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Ren‐Ke Li, Richard D. Weisel, Gregory M. Fahy, Brian G. Wowk, Tai-Wing Wu, Hsing‐Wen Sung, Sharon J. Paynter, Rui‐Dong Duan, John F. Powell and J. Paul Bolam. Their work appears in journals such as Life Sciences, Cell Transplantation, Vaccines, Biomaterials and Journal of Controlled Release.
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.