Jun‐Ming Tang
- Genetics top 2%
- Mesenchymal stem cell research 15
- Biological Psychiatry top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 6
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 8
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 9
- Congenital heart defects research 6
- RNA modifications and cancer 5
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- Tissue Engineering and Regenerative Medicine 10
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- Cardiac Ischemia and Reperfusion 6
- Journals
- Stem Cell Research & Therapy (4 papers)Molecular Biology Reports (4 papers)Circulation Research (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun‐Ming Tang
89 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Genetics 369
- Biological Psychiatry 49
- Cancer Research 290
- Biomaterials 243
- Molecular Biology 1.2k
Countries citing papers authored by Jun‐Ming Tang
This map shows the geographic impact of Jun‐Ming Tang'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‐Ming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ming Tang more than expected).
Fields of papers citing papers by Jun‐Ming Tang
This network shows the impact of papers produced by Jun‐Ming Tang. 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‐Ming Tang. The network helps show where Jun‐Ming Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐Ming Tang, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 22 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 42 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 3 | |
| 14 | 2011 | 207 | |
| 15 | 2010 | 61 | |
| 16 | 2009 | 29 | |
| 17 | 2009 | 88 | |
| 18 | TRANSDUCTION OF PEP-1-SOD1 FUSION PROTEIN INTO RAT LIVER TISSUES AND ENZYME ACTIVITY | 2008 | 1 |
| 19 | 1998 | 66 | |
| 20 | 1992 | 16 |
About Jun‐Ming Tang
Jun‐Ming Tang is a scholar working on Genetics, Biomaterials, Molecular Biology, Cancer Research and Sensory Systems, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (10 papers), Angiogenesis and VEGF in Cancer (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Congenital heart defects research (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cardiac Ischemia and Reperfusion (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Genetics (369 citations), Biological Psychiatry (49 citations), Cancer Research (290 citations), Biomaterials (243 citations) and Molecular Biology (1.2k citations). Jun‐Ming Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianye Yang, Xia Kong, Yong-Zhang Huang, Linyun Guo, Fei Zheng, Shi‐You Chen, Jianing Wang, Xuhua Mao, Lei Zhang and Yu Wan. Their work appears in journals such as Stem Cell Research & Therapy, Molecular Biology Reports, Circulation Research, Journal of Translational Medicine and Frontiers in Cell and Developmental Biology.
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.