Yan Han
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nutrition and Dietetics top 10%
- Selenium in Biological Systems
- Trace Elements in Health
Papers in
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- RNA Research and Splicing 3
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Co-authors
- Shemin Lu (22 shared papers)Qilan Ning (11 shared papers)Jian Sun (11 shared papers)Fujun Zhang (13 shared papers)Congshan Jiang (8 shared papers)Wenhua Zhu (8 shared papers)Jing Xu (9 shared papers)Jidong Yan (7 shared papers)
- Journals
- Molecular and Cellular Endocrinology (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Experimental Cell Research (2 papers)Arthritis Research & Therapy (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Yan Han
38 papers receiving 790 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 171
- Nutrition and Dietetics 99
- Rheumatology 90
- Molecular Biology 341
- Biochemistry 31
Countries citing papers authored by Yan Han
This map shows the geographic impact of Yan Han'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 Yan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Han more than expected).
Fields of papers citing papers by Yan Han
This network shows the impact of papers produced by Yan Han. 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 Yan Han. The network helps show where Yan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Han, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 82 | |
| 2 | 2019 | 70 | |
| 3 | 2008 | 53 | |
| 4 | 2017 | 44 | |
| 5 | 2020 | 42 | |
| 6 | 2011 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2003 | 28 | |
| 10 | 2012 | 28 | |
| 11 | 2020 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2023 | 24 | |
| 15 | 2015 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2016 | 19 | |
| 19 | ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior. | 2012 | 17 |
| 20 | 2016 | 16 |
About Yan Han
Yan Han is a scholar working on Molecular Biology, Cancer Research, Nutrition and Dietetics, Rheumatology and Oncology, having authored 39 papers that have together received 798 indexed citations. Recurring topics across this work include Selenium in Biological Systems (7 papers), Cancer-related molecular mechanisms research (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers), MicroRNA in disease regulation (5 papers), Trace Elements in Health (4 papers), RNA Research and Splicing (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Cancer Research (171 citations), Nutrition and Dietetics (99 citations), Rheumatology (90 citations), Molecular Biology (341 citations) and Biochemistry (31 citations). Yan Han has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Shemin Lu, Qilan Ning, Jian Sun, Fujun Zhang, Congshan Jiang, Wenhua Zhu, Jing Xu, Jidong Yan, Liesu Meng and Dongmin Li. Their work appears in journals such as Molecular and Cellular Endocrinology, Journal of Cellular and Molecular Medicine, Experimental Cell Research, Arthritis Research & Therapy and Cell Death and Disease.
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.