Ying Yan
Impact in
- General Dentistry top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
- Epidemiology 27
- Hepatitis B Virus Studies 21
- Liver Disease Diagnosis and Treatment 17
- Co-authors
- Lunan Wang (27 shared papers)Le Chang (24 shared papers)Dongfeng Zhang (1 shared paper)Xiaoqin Liu (1 shared paper)Fang Li (1 shared paper)John Friend (5 shared papers)José M. Garcia (2 shared papers)Elizabeth Manning Duus (1 shared paper)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (3 papers)Neurology (3 papers)Antiviral Research (3 papers)Frontiers in Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Yan
92 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 154
- General Dentistry 54
- Infectious Diseases 545
- Hepatology 213
- Modeling and Simulation 65
- Ophthalmology 107
Countries citing papers authored by Ying Yan
This map shows the geographic impact of Ying 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 Ying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yan more than expected).
Fields of papers citing papers by Ying Yan
This network shows the impact of papers produced by Ying 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 Ying Yan. The network helps show where Ying Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 452 | |
| 2 | 2015 | 221 | |
| 3 | 2020 | 202 | |
| 4 | 2014 | 163 | |
| 5 | 2003 | 135 | |
| 6 | 2020 | 72 | |
| 7 | 2016 | 53 | |
| 8 | 2005 | 53 | |
| 9 | 2015 | 53 | |
| 10 | 2017 | 42 | |
| 11 | 2019 | 41 | |
| 12 | 2022 | 34 | |
| 13 | 2019 | 32 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2013 | 23 | |
| 18 | 2020 | 23 | |
| 19 | 2020 | 22 | |
| 20 | 2016 | 22 |
About Ying Yan
Ying Yan is a scholar working on Epidemiology, Molecular Biology, Hepatology, Infectious Diseases and Immunology, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (21 papers), Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (16 papers), SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 detection and testing (6 papers), Retinal Diseases and Treatments (5 papers) and Reproductive tract infections research (5 papers). The work is most often cited by research in General Dentistry (54 citations), Infectious Diseases (545 citations), Hepatology (213 citations), Modeling and Simulation (65 citations) and Ophthalmology (107 citations). Ying Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lunan Wang, Le Chang, Dongfeng Zhang, Xiaoqin Liu, Fang Li, John Friend, José M. Garcia, Elizabeth Manning Duus, Ralph V. Boccia and Fengmin Lu. Their work appears in journals such as Blood, Journal of Clinical Oncology, Neurology, Antiviral Research and Frontiers in Microbiology.
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.