Dan Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Tendon Structure and Treatment
Papers in
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- RNA modifications and cancer 13
- Surgery 47
- Shoulder Injury and Treatment 16
- Co-authors
- Song Liu (4 shared papers)Dai Fei Elmer Ker (27 shared papers)Jie Li (4 shared papers)Rocky S. Tuan (22 shared papers)Zhou Wang (12 shared papers)Youhua Liu (2 shared papers)Weichun He (2 shared papers)Yingjian Li (2 shared papers)
- Journals
- Bioactive Materials (5 papers)Acta Biomaterialia (5 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (4 papers)Plastic & Reconstructive Surgery (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Wang
278 papers receiving 5.4k citations
Dan Wang's Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 575
- Orthopedics and Sports Medicine 320
- Genetics 383
- Molecular Biology 2.1k
- Hepatology 147
Countries citing papers authored by Dan Wang
This map shows the geographic impact of Dan 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 Dan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wang more than expected).
Fields of papers citing papers by Dan Wang
This network shows the impact of papers produced by Dan 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 Dan Wang. The network helps show where Dan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 300 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 236 | |
| 2 | A Brief Overview of Global Trends in MSC-Based Cell Therapy Hit paper breakdown → | 2022 | 176 |
| 3 | 2016 | 143 | |
| 4 | 2017 | 137 | |
| 5 | 2011 | 133 | |
| 6 | 2017 | 103 | |
| 7 | 2010 | 97 | |
| 8 | 2019 | 93 | |
| 9 | 2012 | 82 | |
| 10 | 2018 | 77 | |
| 11 | 2012 | 75 | |
| 12 | 2018 | 75 | |
| 13 | 2022 | 75 | |
| 14 | 2013 | 74 | |
| 15 | 2009 | 68 | |
| 16 | 2010 | 67 | |
| 17 | 2018 | 66 | |
| 18 | 2011 | 59 | |
| 19 | 1997 | 57 | |
| 20 | 2015 | 55 |
About Dan Wang
Dan Wang is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Biomedical Engineering, having authored 300 papers that have together received 5.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Tendon Structure and Treatment (16 papers), Shoulder Injury and Treatment (16 papers), Mesenchymal stem cell research (15 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (13 papers), Prostate Cancer Treatment and Research (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (11 papers). The work is most often cited by research in Cancer Research (575 citations), Orthopedics and Sports Medicine (320 citations), Genetics (383 citations), Molecular Biology (2.1k citations) and Hepatology (147 citations). Dan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Song Liu, Dai Fei Elmer Ker, Jie Li, Rocky S. Tuan, Zhou Wang, Youhua Liu, Weichun He, Yingjian Li, Shengcai Qi and Qiang Hu. Their work appears in journals such as Bioactive Materials, Acta Biomaterialia, Scientific Reports, International Journal of Molecular Sciences and Plastic & Reconstructive Surgery.
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.