Dan Yan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in ⓘ
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- Advanced biosensing and bioanalysis techniques 7
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- Covalent Organic Framework Applications 9
- Luminescence and Fluorescent Materials 7
- Co-authors
- Zhiyong Guo (10 shared papers)Dipali Sharma (1 shared paper)Neeraj K. Saxena (1 shared paper)Dimiter Avtanski (1 shared paper)Wooi Loon Ng (2 shared papers)Yin‐Yuan Mo (2 shared papers)Xiangming Zhang (2 shared papers)Shiqi Sun (7 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Medicinal Chemistry (4 papers)Microporous and Mesoporous Materials (3 papers)Cell Cycle (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Dan Yan
91 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 446
- Inorganic Chemistry 210
- Molecular Biology 976
- Immunology 282
- Materials Chemistry 512
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 190 | |
| 2 | 2012 | 159 | |
| 3 | 2008 | 106 | |
| 4 | 2012 | 105 | |
| 5 | 2010 | 98 | |
| 6 | 2010 | 94 | |
| 7 | 2015 | 89 | |
| 8 | 2015 | 80 | |
| 9 | 2017 | 71 | |
| 10 | 2017 | 67 | |
| 11 | 2023 | 67 | |
| 12 | 2019 | 55 | |
| 13 | 2013 | 53 | |
| 14 | 2015 | 52 | |
| 15 | 2019 | 49 | |
| 16 | 2016 | 42 | |
| 17 | 2014 | 41 | |
| 18 | 2020 | 40 | |
| 19 | 2016 | 37 | |
| 20 | 2020 | 37 |
About Dan Yan
Dan Yan is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Inorganic Chemistry and Cancer Research, having authored 92 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (13 papers), Cancer-related molecular mechanisms research (10 papers), Covalent Organic Framework Applications (9 papers), Respiratory viral infections research (8 papers), Phagocytosis and Immune Regulation (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), MicroRNA in disease regulation (7 papers) and Luminescence and Fluorescent Materials (7 papers). The work is most often cited by research in Cancer Research (446 citations), Inorganic Chemistry (210 citations), Molecular Biology (976 citations), Immunology (282 citations) and Materials Chemistry (512 citations). Dan Yan has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Zhiyong Guo, Dipali Sharma, Neeraj K. Saxena, Dimiter Avtanski, Wooi Loon Ng, Yin‐Yuan Mo, Xiangming Zhang, Shiqi Sun, Yanquan Wei and Huichen Guo. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry, Microporous and Mesoporous Materials, Cell Cycle and PLoS ONE.
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.