Junnan Tang
Impact in
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 17
- Circular RNAs in diseases 5
- Surgery 27
- Tissue Engineering and Regenerative Medicine 16
- Co-authors
- Jinying Zhang (63 shared papers)Xiaolin Cui (28 shared papers)Ke Cheng (13 shared papers)Michael Taylor Hensley (16 shared papers)Thomas G. Caranasos (13 shared papers)Adam C. Vandergriff (13 shared papers)Jhon Cores (11 shared papers)Tim B. F. Woodfield (7 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (11 papers)Bioscience Reports (4 papers)Advanced Healthcare Materials (4 papers)ACS Nano (3 papers)Frontiers in Cardiovascular Medicine (3 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Junnan Tang
101 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 126
- Biomaterials 786
- Cancer Research 360
- Surgery 986
- Cardiology and Cardiovascular Medicine 477
- Genetics 198
Countries citing papers authored by Junnan Tang
This map shows the geographic impact of Junnan 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 Junnan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junnan Tang more than expected).
Fields of papers citing papers by Junnan Tang
This network shows the impact of papers produced by Junnan 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 Junnan Tang. The network helps show where Junnan Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junnan 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
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 291 | |
| 2 | 2018 | 256 | |
| 3 | 2019 | 237 | |
| 4 | 2017 | 221 | |
| 5 | 2017 | 168 | |
| 6 | 2020 | 166 | |
| 7 | 2017 | 126 | |
| 8 | 2023 | 117 | |
| 9 | 2022 | 98 | |
| 10 | 2018 | 93 | |
| 11 | 2015 | 79 | |
| 12 | 2017 | 69 | |
| 13 | 2018 | 69 | |
| 14 | 2021 | 66 | |
| 15 | 2023 | 66 | |
| 16 | 2022 | 66 | |
| 17 | 2021 | 60 | |
| 18 | 2019 | 58 | |
| 19 | 2023 | 54 | |
| 20 | 2020 | 49 |
About Junnan Tang
Junnan Tang is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Biomaterials and Immunology, having authored 107 papers that have together received 3.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (17 papers), Tissue Engineering and Regenerative Medicine (16 papers), Electrospun Nanofibers in Biomedical Applications (12 papers), Cardiac Fibrosis and Remodeling (6 papers), Cardiovascular Effects of Exercise (6 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Biomaterials (786 citations), Cancer Research (360 citations), Surgery (986 citations), Cardiology and Cardiovascular Medicine (477 citations) and Genetics (198 citations). Junnan Tang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jinying Zhang, Xiaolin Cui, Ke Cheng, Michael Taylor Hensley, Thomas G. Caranasos, Adam C. Vandergriff, Jhon Cores, Tim B. F. Woodfield, Ke Huang and Deliang Shen. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Bioscience Reports, Advanced Healthcare Materials, ACS Nano and Frontiers in Cardiovascular Medicine.
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.