Junhui Wan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 2
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- David Y. Graham (1 shared paper)Yi Hu (1 shared paper)Nonghua Lü (1 shared paper)Yin Zhu (1 shared paper)Wei Zou (3 shared papers)Fen Wang (1 shared paper)Zhenping Wu (1 shared paper)Qingming Wang (1 shared paper)
- Journals
- Medicine (2 papers)BMC Nephrology (1 paper)Pancreatology (1 paper)Frontiers in Oncology (1 paper)Journal of Cell Communication and Signaling (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junhui Wan
13 papers receiving 284 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 66
- Gastroenterology 19
- Obstetrics and Gynecology 22
- Surgery 111
- Biological Psychiatry 4
Countries citing papers authored by Junhui Wan
This map shows the geographic impact of Junhui Wan'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 Junhui Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhui Wan more than expected).
Fields of papers citing papers by Junhui Wan
This network shows the impact of papers produced by Junhui Wan. 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 Junhui Wan. The network helps show where Junhui Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhui Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2017 | 29 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 |
About Junhui Wan
Junhui Wan is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Pregnancy and preeclampsia studies (2 papers), Maternal and fetal healthcare (2 papers), Circular RNAs in diseases (2 papers), Maternal and Perinatal Health Interventions (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (66 citations), Gastroenterology (19 citations), Obstetrics and Gynecology (22 citations), Surgery (111 citations) and Biological Psychiatry (4 citations). Junhui Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include David Y. Graham, Yi Hu, Nonghua Lü, Yin Zhu, Wei Zou, Fen Wang, Zhenping Wu, Qingming Wang, Ping Hu and Guang‐Yu Lian. Their work appears in journals such as Medicine, BMC Nephrology, Pancreatology, Frontiers in Oncology and Journal of Cell Communication and Signaling.
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.