Junnan Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Circular RNAs in diseases 8
- RNA modifications and cancer 7
- Extracellular vesicles in disease 5
- Genomics, phytochemicals, and oxidative stress 4
- Co-authors
- Youyou Yan (13 shared papers)Junduo Wu (12 shared papers)Bin Liu (7 shared papers)Chao Qi (8 shared papers)Longbo Li (4 shared papers)Hao Wu (4 shared papers)Ye Jia (4 shared papers)Dandan Song (5 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)Optik (2 papers)Multimedia Tools and Applications (2 papers)Frontiers in Pharmacology (2 papers)Biomarkers in Medicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junnan Wang
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 142
- Cancer Research 240
- Geriatrics and Gerontology 33
- Molecular Biology 543
- Cardiology and Cardiovascular Medicine 163
- Biological Psychiatry 12
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 71 | |
| 2 | 2019 | 68 | |
| 3 | 2020 | 46 | |
| 4 | 2018 | 45 | |
| 5 | 2010 | 43 | |
| 6 | 2021 | 41 | |
| 7 | 2024 | 38 | |
| 8 | 2018 | 36 | |
| 9 | 2022 | 34 | |
| 10 | 2013 | 31 | |
| 11 | 2021 | 31 | |
| 12 | 2020 | 31 | |
| 13 | 2022 | 31 | |
| 14 | 2016 | 31 | |
| 15 | 2015 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2017 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2016 | 28 |
About Junnan Wang
Junnan Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers), Extracellular vesicles in disease (5 papers), Laser Material Processing Techniques (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Advanced Fiber Optic Sensors (3 papers). The work is most often cited by research in Cancer Research (240 citations), Geriatrics and Gerontology (33 citations), Molecular Biology (543 citations), Cardiology and Cardiovascular Medicine (163 citations) and Biological Psychiatry (12 citations). Junnan Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Youyou Yan, Junduo Wu, Bin Liu, Chao Qi, Longbo Li, Hao Wu, Ye Jia, Dandan Song, Wenlin Huang and Huan Zhang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Optik, Multimedia Tools and Applications, Frontiers in Pharmacology 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.