Junduo Wu
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Genomics, phytochemicals, and oxidative stress 7
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Junnan Wang (12 shared papers)Hao Wu (10 shared papers)Ye Jia (6 shared papers)Youyou Yan (6 shared papers)Ziping Jiang (5 shared papers)Shuyan Song (2 shared papers)Songtao Zhang (2 shared papers)Hongjie Zhang (2 shared papers)
- Journals
- Medicine (4 papers)Frontiers in Cardiovascular Medicine (3 papers)Free Radical Biology and Medicine (2 papers)BMJ Open (2 papers)Journal of Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Junduo Wu
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Geriatrics and Gerontology 72
- Cancer Research 177
- Biochemistry 38
- Molecular Biology 437
- Biological Psychiatry 13
Countries citing papers authored by Junduo Wu
This map shows the geographic impact of Junduo Wu'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 Junduo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junduo Wu more than expected).
Fields of papers citing papers by Junduo Wu
This network shows the impact of papers produced by Junduo Wu. 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 Junduo Wu. The network helps show where Junduo Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junduo Wu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 230 | |
| 2 | 2017 | 128 | |
| 3 | 2018 | 74 | |
| 4 | 2019 | 58 | |
| 5 | 2020 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2017 | 39 | |
| 8 | 2018 | 38 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 31 | |
| 11 | 2015 | 31 | |
| 12 | 2019 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 28 | |
| 15 | 2016 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2020 | 27 | |
| 18 | 2022 | 26 | |
| 19 | 2017 | 24 | |
| 20 | 2017 | 14 |
About Junduo Wu
Junduo Wu is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (7 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Blood Pressure and Hypertension Studies (4 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Cancer Research (177 citations), Biochemistry (38 citations), Molecular Biology (437 citations) and Biological Psychiatry (13 citations). Junduo Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junnan Wang, Hao Wu, Ye Jia, Youyou Yan, Ziping Jiang, Shuyan Song, Songtao Zhang, Hongjie Zhang, Wenlin Huang and Longhai Jin. Their work appears in journals such as Medicine, Frontiers in Cardiovascular Medicine, Free Radical Biology and Medicine, BMJ Open and Journal of Endocrinology.
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.