Junnan Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Geriatrics and Gerontology top 10%
Papers in
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- Blood Pressure and Hypertension Studies 2
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- MicroRNA in disease regulation 5
- Co-authors
- Junduo Wu (12 shared papers)Youyou Yan (13 shared papers)Bin Liu (7 shared papers)Longbo Li (4 shared papers)Dandan Song (5 shared papers)Ye Jia (4 shared papers)Hao Yu Wu (4 shared papers)Ren-qi Yao (3 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)BMJ Open (2 papers)Frontiers in Pharmacology (2 papers)Optik (2 papers)Biomarkers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junnan Wang
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 83
- Geriatrics and Gerontology 18
- Cardiology and Cardiovascular Medicine 98
- Molecular Biology 233
- Pharmacology 27
Countries citing papers authored by Junnan Wang
This map shows the geographic impact of Junnan Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junnan Wang more than expected).
Fields of papers citing papers by Junnan Wang
This network shows the impact of papers produced by Junnan Wang. 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 Wang. The network helps show where Junnan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junnan Wang, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2019 | 72 | |
| 3 | 2020 | 57 | |
| 4 | 2024 | 55 | |
| 5 | 2021 | 48 | |
| 6 | 2018 | 46 | |
| 7 | 2018 | 40 | |
| 8 | 2022 | 39 | |
| 9 | 2016 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 2022 | 33 | |
| 12 | 2013 | 32 | |
| 13 | 2017 | 32 | |
| 14 | 2018 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2017 | 31 | |
| 18 | 2020 | 30 | |
| 19 | 2020 | 30 | |
| 20 | 2016 | 29 |
About Junnan Wang
Junnan Wang is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Molecular Biology, Surfaces, Coatings and Films and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Advanced Fiber Optic Sensors (3 papers), Blood Pressure and Hypertension Studies (2 papers), Adversarial Robustness in Machine Learning (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Cancer Research (83 citations), Geriatrics and Gerontology (18 citations), Cardiology and Cardiovascular Medicine (98 citations), Molecular Biology (233 citations) and Pharmacology (27 citations). Junnan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junduo Wu, Youyou Yan, Bin Liu, Longbo Li, Dandan Song, Ye Jia, Hao Yu Wu, Ren-qi Yao, Huan Zhang and Wenlin Huang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, BMJ Open, Frontiers in Pharmacology, Optik and Biomarkers in 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.