Dan Yin
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Viral Infections and Immunology Research 8
- Co-authors
- Jia Fan (7 shared papers)Jian Zhou (6 shared papers)Shao‐Lai Zhou (7 shared papers)Zheng‐Jun Zhou (7 shared papers)Chu‐Bin Luo (4 shared papers)Ying–Hong Shi (3 shared papers)Zhiqiang Hu (3 shared papers)Qing Chen (4 shared papers)
- Journals
- Medicine (2 papers)Oncotarget (2 papers)Hepatology (2 papers)Archives of Virology (2 papers)Poultry Science (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Yin
53 papers receiving 877 citations
Peers
Comparison fields: 5 of 100
- Oncology 227
- Cancer Research 119
- Hepatology 46
- Immunology 127
- Infectious Diseases 104
Countries citing papers authored by Dan Yin
This map shows the geographic impact of Dan Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yin more than expected).
Fields of papers citing papers by Dan Yin
This network shows the impact of papers produced by Dan Yin. 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 Yin. The network helps show where Dan Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yin, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2015 | 66 | |
| 3 | 2015 | 62 | |
| 4 | 2018 | 42 | |
| 5 | 2021 | 40 | |
| 6 | 2020 | 39 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 2007 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2018 | 12 | |
| 20 | 2013 | 12 |
About Dan Yin
Dan Yin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Oncology and Surgery, having authored 58 papers that have together received 886 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Animal Disease Management and Epidemiology (7 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Vector-Borne Animal Diseases (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Advanced Antenna and Metasurface Technologies (3 papers) and Metamaterials and Metasurfaces Applications (3 papers). The work is most often cited by research in Oncology (227 citations), Cancer Research (119 citations), Hepatology (46 citations), Immunology (127 citations) and Infectious Diseases (104 citations). Dan Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jia Fan, Jian Zhou, Shao‐Lai Zhou, Zheng‐Jun Zhou, Chu‐Bin Luo, Ying–Hong Shi, Zhiqiang Hu, Qing Chen, Haoyang Xin and Xiaowu Huang. Their work appears in journals such as Medicine, Oncotarget, Hepatology, Archives of Virology and Poultry Science.
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.