Wei Dong
Impact in
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Mitochondrial Function and Pathology 5
- Signaling Pathways in Disease 4
- Wnt/β-catenin signaling in development and cancer 3
- RNA regulation and disease 3
- ATP Synthase and ATPases Research 3
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- Cardiac Fibrosis and Remodeling 3
- Viral Infections and Immunology Research 3
- Co-authors
- Lianfeng Zhang (32 shared papers)Dan Lü (21 shared papers)Yuanwu Ma (13 shared papers)Shan Gao (17 shared papers)Chunmei Ma (3 shared papers)Hong Lian (3 shared papers)Feifei Guan (12 shared papers)Chuan Qin (3 shared papers)
In The Last Decade
Wei Dong
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Immunology 295
- Cancer Research 187
- Molecular Biology 691
- Cardiology and Cardiovascular Medicine 138
- Aging 11
Countries citing papers authored by Wei Dong
This map shows the geographic impact of Wei Dong'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 Wei Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dong more than expected).
Fields of papers citing papers by Wei Dong
This network shows the impact of papers produced by Wei Dong. 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 Wei Dong. The network helps show where Wei Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dong, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2011 | 106 | |
| 3 | 2019 | 90 | |
| 4 | 2010 | 76 | |
| 5 | 2008 | 66 | |
| 6 | 2012 | 64 | |
| 7 | 2016 | 60 | |
| 8 | 2012 | 46 | |
| 9 | 2018 | 42 | |
| 10 | 2011 | 41 | |
| 11 | 2015 | 39 | |
| 12 | 2010 | 38 | |
| 13 | 2017 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2008 | 34 | |
| 16 | 2022 | 32 | |
| 17 | 2017 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2010 | 23 | |
| 20 | 2015 | 22 |
About Wei Dong
Wei Dong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Signaling Pathways in Disease (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Immune Cell Function and Interaction (3 papers), Viral Infections and Immunology Research (3 papers), RNA regulation and disease (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Immunology (295 citations), Cancer Research (187 citations), Molecular Biology (691 citations), Cardiology and Cardiovascular Medicine (138 citations) and Aging (11 citations). Wei Dong has collaborated with scholars based in China and Germany. Frequent co-authors include Lianfeng Zhang, Dan Lü, Yuanwu Ma, Shan Gao, Chunmei Ma, Hong Lian, Feifei Guan, Chuan Qin, Dan Bao and Lin Han Bai. Their work appears in journals such as FEBS Journal, Laboratory Investigation, Disease Models & Mechanisms, Experimental Cell Research 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.