Danying Yan
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral gastroenteritis research and epidemiology 4
- COVID-19 Clinical Research Studies 2
-
- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 2
- Co-authors
- Shigui Yang (19 shared papers)Xiaobao Zhang (13 shared papers)Daixi Jiang (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)Frontiers in Cellular and Infection Microbiology (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesNepal
In The Last Decade
Danying Yan
22 papers receiving 421 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 186
- Modeling and Simulation 44
- Epidemiology 182
- Health 38
- Hepatology 32
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 | 75 | |
| 2 | 2022 | 60 | |
| 3 | 2021 | 47 | |
| 4 | 2021 | 39 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 6 | |
| 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, Modeling and Simulation, Neurology and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 426 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), COVID-19 epidemiological studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Child Nutrition and Water Access (2 papers), Hepatitis B Virus Studies (2 papers), Climate Change and Health Impacts (2 papers), COVID-19 Clinical Research Studies (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Infectious Diseases (186 citations), Modeling and Simulation (44 citations), Epidemiology (182 citations), Health (38 citations) and Hepatology (32 citations). Danying Yan has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Shigui Yang, Xiaobao Zhang, Daixi Jiang, Cheng Ding, Can Chen, Xiaoxiao Liu, Lanjuan Li, Yuqing Zhou, Chenyang Huang and Zhou Guan. Their work appears in journals such as Frontiers in Public Health, International Journal of Infectious Diseases, International Journal of Environmental Research and Public Health, Frontiers in Cellular and Infection Microbiology 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.