Danying Yan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Viral gastroenteritis research and epidemiology 5
- COVID-19 Clinical Research Studies 4
- Epidemiology 11
- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 4
- Respiratory viral infections research 3
- Co-authors
- Shigui Yang (19 shared papers)Daixi Jiang (13 shared papers)Xiaobao Zhang (13 shared papers)Cheng Ding (15 shared papers)Can Chen (7 shared papers)Xiaoxiao Liu (14 shared papers)Lanjuan Li (11 shared papers)Yuqing Zhou (12 shared papers)
- Journals
- Frontiers in Public Health (4 papers)International Journal of Infectious Diseases (3 papers)International Journal of Environmental Research and Public Health (2 papers)Virus Research (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesNepal
In The Last Decade
Danying Yan
21 papers receiving 396 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 61
- Infectious Diseases 223
- Hepatology 68
- Health 64
- Epidemiology 206
Countries citing papers authored by Danying Yan
This map shows the geographic impact of Danying 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 Danying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danying Yan more than expected).
Fields of papers citing papers by Danying Yan
This network shows the impact of papers produced by Danying 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 Danying Yan. The network helps show where Danying Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Danying 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 71 | |
| 2 | 2022 | 55 | |
| 3 | 2021 | 44 | |
| 4 | 2021 | 39 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 1 |
About Danying Yan
Danying Yan is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Modeling and Simulation and Nutrition and Dietetics, having authored 23 papers that have together received 402 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), COVID-19 epidemiological studies (5 papers), Hepatitis B Virus Studies (4 papers), COVID-19 Clinical Research Studies (4 papers), Child Nutrition and Water Access (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Infectious Diseases (223 citations), Hepatology (68 citations), Health (64 citations) and Epidemiology (206 citations). Danying Yan has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Shigui Yang, Daixi Jiang, Xiaobao Zhang, Cheng Ding, Can Chen, Xiaoxiao Liu, Lanjuan Li, Yuqing Zhou, Chenyang Huang and Changtai Zhu. Their work appears in journals such as Frontiers in Public Health, International Journal of Infectious Diseases, International Journal of Environmental Research and Public Health, Virus Research and BMJ Open.
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.