Dan Yan
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Mesenchymal stem cell research
Papers in
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- Angiogenesis and VEGF in Cancer 6
- Extracellular vesicles in disease 4
- Congenital heart defects research 3
- Surgery 6
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Beibei Li (4 shared papers)Qiurong Ruan (7 shared papers)Bingshu He (2 shared papers)Jun Wang (4 shared papers)Jie Guo (3 shared papers)Liang Zhou (2 shared papers)Juan Liu (2 shared papers)Xianmin Hu (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Transplantation (2 papers)BMC Medical Education (2 papers)Cellular Reprogramming (1 paper)Bioscience Reports (1 paper)
- Partner nations
- ChinaSouth AfricaHong Kong
In The Last Decade
Dan Yan
26 papers receiving 602 citations
Peers
Comparison fields: 5 of 117
- Cancer Research 132
- Genetics 66
- Biological Psychiatry 13
- Immunology 98
- Molecular Biology 290
Countries citing papers authored by Dan Yan
This map shows the geographic impact of Dan Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yan more than expected).
Fields of papers citing papers by Dan Yan
This network shows the impact of papers produced by Dan Yan. 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 Yan. The network helps show where Dan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2021 | 63 | |
| 3 | 2018 | 53 | |
| 4 | 2017 | 46 | |
| 5 | 2015 | 35 | |
| 6 | 2016 | 32 | |
| 7 | 2017 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2021 | 24 | |
| 13 | 2011 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2011 | 19 | |
| 17 | 2017 | 16 | |
| 18 | 2011 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 11 |
About Dan Yan
Dan Yan is a scholar working on Molecular Biology, Surgery, Cancer Research, Immunology and Genetics, having authored 27 papers that have together received 606 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), MicroRNA in disease regulation (5 papers), Mesenchymal stem cell research (4 papers), Extracellular vesicles in disease (4 papers), Congenital heart defects research (3 papers), Chemokine receptors and signaling (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Cancer Research (132 citations), Genetics (66 citations), Biological Psychiatry (13 citations), Immunology (98 citations) and Molecular Biology (290 citations). Dan Yan has collaborated with scholars based in China, South Africa and Hong Kong. Frequent co-authors include Beibei Li, Qiurong Ruan, Bingshu He, Jun Wang, Jie Guo, Liang Zhou, Juan Liu, Xianmin Hu, Xiamin Hu and Jun Dai. Their work appears in journals such as Scientific Reports, Cell Transplantation, BMC Medical Education, Cellular Reprogramming and Bioscience Reports.
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.