Yihan Lu
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 45
- Hepatitis B Virus Studies 18
- Influenza Virus Research Studies 7
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- Viral gastroenteritis research and epidemiology 23
- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Abram L. Wagner (25 shared papers)Shu‐Fang Shih (6 shared papers)Nina B. Masters (3 shared papers)Yanfen Wang (1 shared paper)Yao Huang (1 shared paper)Xunhua Zheng (1 shared paper)Jianwen Zou (1 shared paper)Yingjie Zheng (12 shared papers)
- Journals
- Vaccines (8 papers)Human Vaccines & Immunotherapeutics (6 papers)BMC Infectious Diseases (5 papers)Frontiers in Public Health (4 papers)Vaccine (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yihan Lu
102 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 145
- Health 362
- Modeling and Simulation 148
- Hepatology 178
- Infectious Diseases 349
- Epidemiology 354
Countries citing papers authored by Yihan Lu
This map shows the geographic impact of Yihan Lu'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 Yihan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihan Lu more than expected).
Fields of papers citing papers by Yihan Lu
This network shows the impact of papers produced by Yihan Lu. 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 Yihan Lu. The network helps show where Yihan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yihan Lu, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 101 | |
| 2 | 2020 | 90 | |
| 3 | 2021 | 78 | |
| 4 | 2021 | 77 | |
| 5 | 2021 | 61 | |
| 6 | 2013 | 51 | |
| 7 | 2017 | 48 | |
| 8 | 2011 | 39 | |
| 9 | 2021 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2011 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2021 | 23 | |
| 17 | 2023 | 23 | |
| 18 | 2010 | 22 | |
| 19 | 2018 | 21 | |
| 20 | uc.38 induces breast cancer cell apoptosis via PBX1. | 2017 | 21 |
About Yihan Lu
Yihan Lu is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Health and Cardiology and Cardiovascular Medicine, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (30 papers), Hepatitis Viruses Studies and Epidemiology (27 papers), Viral gastroenteritis research and epidemiology (23 papers), Hepatitis B Virus Studies (18 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Viral Infections and Immunology Research (10 papers), Influenza Virus Research Studies (7 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Health (362 citations), Modeling and Simulation (148 citations), Hepatology (178 citations), Infectious Diseases (349 citations) and Epidemiology (354 citations). Yihan Lu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Abram L. Wagner, Shu‐Fang Shih, Nina B. Masters, Yanfen Wang, Yao Huang, Xunhua Zheng, Jianwen Zou, Yingjie Zheng, Qingwu Jiang and Lisa A. Prosser. Their work appears in journals such as Vaccines, Human Vaccines & Immunotherapeutics, BMC Infectious Diseases, Frontiers in Public Health and Vaccine.
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.