Dunrui Wang
Impact in
- Cell Biology top 10%
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 3
- Wnt/β-catenin signaling in development and cancer 2
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- Cellular Mechanics and Interactions 3
- Co-authors
- Xiaolan Qian (16 shared papers)Douglas R. Lowy (16 shared papers)Edward K. L. Chan (6 shared papers)Jill P. Buyon (3 shared papers)Brajendra K. Tripathi (10 shared papers)Marian E. Durkin (7 shared papers)Alex G. Papageorge (7 shared papers)Wei‐Guo Zhu (2 shared papers)
- Journals
- Cancer Research (7 papers)The Journal of Cell Biology (3 papers)Journal of Clinical Investigation (2 papers)Cancer Letters (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Dunrui Wang
30 papers receiving 627 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 143
- Cancer Research 121
- Immunology and Allergy 38
- Molecular Biology 419
- Oncology 155
Countries citing papers authored by Dunrui Wang
This map shows the geographic impact of Dunrui 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 Dunrui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dunrui Wang more than expected).
Fields of papers citing papers by Dunrui Wang
This network shows the impact of papers produced by Dunrui 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 Dunrui Wang. The network helps show where Dunrui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dunrui 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2013 | 49 | |
| 3 | 2014 | 45 | |
| 4 | 2016 | 44 | |
| 5 | 2016 | 39 | |
| 6 | 2014 | 34 | |
| 7 | 1999 | 33 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2012 | 25 | |
| 11 | 2003 | 23 | |
| 12 | 1996 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 1996 | 20 | |
| 15 | 2001 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2019 | 14 |
About Dunrui Wang
Dunrui Wang is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 631 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers), Cellular Mechanics and Interactions (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (143 citations), Cancer Research (121 citations), Immunology and Allergy (38 citations), Molecular Biology (419 citations) and Oncology (155 citations). Dunrui Wang has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Xiaolan Qian, Douglas R. Lowy, Edward K. L. Chan, Jill P. Buyon, Brajendra K. Tripathi, Marian E. Durkin, Alex G. Papageorge, Wei‐Guo Zhu, Giovanna Tosato and Steven A. Carr. Their work appears in journals such as Cancer Research, The Journal of Cell Biology, Journal of Clinical Investigation, Cancer Letters and Oncotarget.
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.