Dan Yan
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
Papers in
-
- Gut microbiota and health 11
- Metabolomics and Mass Spectrometry Studies 5
- Metabolism, Diabetes, and Cancer 3
-
- Computational Drug Discovery Methods 6
- Co-authors
- Ruizheng Liang (2 shared papers)Zhengdi Wang (2 shared papers)Tingting Hu (2 shared papers)Kejun Deng (10 shared papers)Min Wei (1 shared paper)Weicheng Shen (1 shared paper)Hua Tang (4 shared papers)Hui Yang (4 shared papers)
- Journals
- Poultry Science (1 paper)The Science of The Total Environment (1 paper)International Journal of Biological Macromolecules (1 paper)Theranostics (1 paper)International Journal of Antimicrobial Agents (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Yan
32 papers receiving 938 citations
Dan Yan's Hit Papers
Peers
Comparison fields: 5 of 122
- Health Information Management 55
- Pollution 83
- Animal Science and Zoology 69
- Molecular Biology 427
- Pharmacology 48
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 156 | |
| 2 | Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators Hit paper breakdown → | 2021 | 144 |
| 3 | 2022 | 93 | |
| 4 | 2019 | 80 | |
| 5 | 2019 | 71 | |
| 6 | 2021 | 67 | |
| 7 | 2022 | 60 | |
| 8 | 2018 | 43 | |
| 9 | 2023 | 39 | |
| 10 | 2023 | 32 | |
| 11 | 2024 | 29 | |
| 12 | 2021 | 18 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 8 |
About Dan Yan
Dan Yan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Complementary and alternative medicine, Infectious Diseases and Physiology, having authored 33 papers that have together received 955 indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Computational Drug Discovery Methods (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Diet and metabolism studies (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Traditional Chinese Medicine Studies (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Health Information Management (55 citations), Pollution (83 citations), Animal Science and Zoology (69 citations), Molecular Biology (427 citations) and Pharmacology (48 citations). Dan Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruizheng Liang, Zhengdi Wang, Tingting Hu, Kejun Deng, Min Wei, Weicheng Shen, Hua Tang, Hui Yang, Hao Lin and Hao Lin. Their work appears in journals such as Poultry Science, The Science of The Total Environment, International Journal of Biological Macromolecules, Theranostics and International Journal of Antimicrobial Agents.
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.