Jun Wan
Impact in
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- Microtubule and mitosis dynamics
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- Cancer-related Molecular Pathways
Papers in
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- DNA Repair Mechanisms 3
- Ubiquitin and proteasome pathways 3
- Oncology 11
- Cancer-related Molecular Pathways 6
- Co-authors
- Beth A. Weaver (11 shared papers)Xiang Dong Zhang (1 shared paper)Ahmad Taha Khalaf (3 shared papers)Zheng Shi (3 shared papers)Lijia Cheng (3 shared papers)Yuanyuan Wei (2 shared papers)Peng Yu (1 shared paper)Jiang Zhu (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)World Journal of Gastroenterology (2 papers)Life (1 paper)Biochemical and Biophysical Research Communications (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Wan
28 papers receiving 403 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 79
- Oncology 86
- Molecular Biology 194
- Reproductive Medicine 17
- Cancer Research 29
Countries citing papers authored by Jun Wan
This map shows the geographic impact of Jun 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 Jun Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wan more than expected).
Fields of papers citing papers by Jun Wan
This network shows the impact of papers produced by Jun 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 Jun Wan. The network helps show where Jun Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2012 | 44 | |
| 3 | 2013 | 29 | |
| 4 | 2014 | 24 | |
| 5 | 2019 | 24 | |
| 6 | 2014 | 21 | |
| 7 | 2017 | 18 | |
| 8 | Changes of IK, ATP current density and allosteric modulation during chronic atrial fibrillation. | 2005 | 18 |
| 9 | 2002 | 16 | |
| 10 | 2004 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 6 |
About Jun Wan
Jun Wan is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers), Head and Neck Cancer Studies (2 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (79 citations), Oncology (86 citations), Molecular Biology (194 citations), Reproductive Medicine (17 citations) and Cancer Research (29 citations). Jun Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Beth A. Weaver, Xiang Dong Zhang, Ahmad Taha Khalaf, Zheng Shi, Lijia Cheng, Yuanyuan Wei, Peng Yu, Jiang Zhu, Lauren M. Zasadil and Anjon Audhya. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, World Journal of Gastroenterology, Life, Biochemical and Biophysical Research Communications and Frontiers in Cardiovascular 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.