Jun Tao
Impact in
- Aging top 10%
- Geriatrics and Gerontology top 5%
Papers in
-
- Mitochondrial Function and Pathology 6
- Angiogenesis and VEGF in Cancer 4
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Hua‐Bin Li (3 shared papers)Rongjun Zou (10 shared papers)Sha Li (2 shared papers)Hao Zhou (3 shared papers)Ping Hua (10 shared papers)Jun Ren (5 shared papers)Songran Yang (9 shared papers)Xi Xie (5 shared papers)
- Journals
- BioMed Research International (4 papers)Frontiers in Medicine (2 papers)Science Advances (2 papers)BMC Musculoskeletal Disorders (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Tao
76 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 135
- Aging 37
- Geriatrics and Gerontology 43
- Cancer Research 188
- Molecular Biology 795
- Immunology 188
Countries citing papers authored by Jun Tao
This map shows the geographic impact of Jun Tao'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 Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tao more than expected).
Fields of papers citing papers by Jun Tao
This network shows the impact of papers produced by Jun Tao. 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 Tao. The network helps show where Jun Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tao, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 202 | |
| 2 | 2020 | 155 | |
| 3 | 2020 | 115 | |
| 4 | 2019 | 93 | |
| 5 | 2017 | 84 | |
| 6 | 2022 | 82 | |
| 7 | 2006 | 69 | |
| 8 | 2018 | 68 | |
| 9 | 2020 | 63 | |
| 10 | 2022 | 60 | |
| 11 | 2020 | 58 | |
| 12 | 2017 | 50 | |
| 13 | Metabolomics in bladder cancer: a systematic review. | 2015 | 50 |
| 14 | 2017 | 43 | |
| 15 | 2013 | 43 | |
| 16 | 2021 | 42 | |
| 17 | 2017 | 41 | |
| 18 | 2021 | 35 | |
| 19 | 2021 | 33 | |
| 20 | 2021 | 32 |
About Jun Tao
Jun Tao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Oncology, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Autophagy in Disease and Therapy (4 papers), COVID-19 epidemiological studies (4 papers), COVID-19 Clinical Research Studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Aging (37 citations), Geriatrics and Gerontology (43 citations), Cancer Research (188 citations), Molecular Biology (795 citations) and Immunology (188 citations). Jun Tao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hua‐Bin Li, Rongjun Zou, Sha Li, Hao Zhou, Ping Hua, Jun Ren, Songran Yang, Xi Xie, Tian Hang and Junmeng Zheng. Their work appears in journals such as BioMed Research International, Frontiers in Medicine, Science Advances, BMC Musculoskeletal Disorders and Oxidative Medicine and Cellular Longevity.
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.