Junhu Wan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
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- Cancer-related molecular mechanisms research 20
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- RNA modifications and cancer 9
- Epigenetics and DNA Methylation 8
- Cancer-related gene regulation 4
- Genomics and Chromatin Dynamics 3
- Circular RNAs in diseases 3
- Co-authors
- Hongquan Zhang (9 shared papers)Jie Chu (11 shared papers)Liang Ming (10 shared papers)Jun Zhan (6 shared papers)Weizhi Xu (4 shared papers)Hongyang Liu (8 shared papers)Fucheng He (11 shared papers)Huiqing Yin (9 shared papers)
In The Last Decade
Junhu Wan
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 542
- Molecular Biology 902
- Geriatrics and Gerontology 30
- Oncology 155
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by Junhu Wan
This map shows the geographic impact of Junhu 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 Junhu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhu Wan more than expected).
Fields of papers citing papers by Junhu Wan
This network shows the impact of papers produced by Junhu 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 Junhu Wan. The network helps show where Junhu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhu 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2021 | 146 | |
| 3 | 2015 | 117 | |
| 4 | 2019 | 112 | |
| 5 | 2018 | 110 | |
| 6 | 2019 | 85 | |
| 7 | 2019 | 83 | |
| 8 | 2016 | 69 | |
| 9 | 2018 | 62 | |
| 10 | 2018 | 57 | |
| 11 | 2019 | 57 | |
| 12 | 2019 | 50 | |
| 13 | 2023 | 49 | |
| 14 | 2020 | 43 | |
| 15 | 2022 | 42 | |
| 16 | 2023 | 41 | |
| 17 | 2018 | 38 | |
| 18 | 2024 | 34 | |
| 19 | 2018 | 33 | |
| 20 | 2021 | 32 |
About Junhu Wan
Junhu Wan is a scholar working on Cancer Research, Molecular Biology, Immunology and Allergy, Genetics and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (4 papers), Ferroptosis and cancer prognosis (4 papers), Genomics and Chromatin Dynamics (3 papers), Circular RNAs in diseases (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (542 citations), Molecular Biology (902 citations), Geriatrics and Gerontology (30 citations), Oncology (155 citations) and Pulmonary and Respiratory Medicine (142 citations). Junhu Wan has collaborated with scholars based in China and Singapore. Frequent co-authors include Hongquan Zhang, Jie Chu, Liang Ming, Jun Zhan, Weizhi Xu, Hongyang Liu, Fucheng He, Huiqing Yin, Xueying Li and Jinlin Jia. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cell Death and Disease, Nucleic Acids Research, Journal of Clinical Laboratory Analysis and Cancer Letters.
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.