Han A. Li
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
- Surgery 2
- Bladder and Urothelial Cancer Treatments 2
- Urinary and Genital Oncology Studies 1
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- Cardiac, Anesthesia and Surgical Outcomes 1
- Co-authors
- Graham T. Wehmeyer (4 shared papers)Monika M. Safford (3 shared papers)Parag Goyal (4 shared papers)Jim W. Cheung (3 shared papers)Bruce B. Lerman (2 shared papers)Mark N. Alshak (3 shared papers)Ilhwan Yeo (1 shared paper)Xiaohan Ying (1 shared paper)
- Journals
- European Urology (1 paper)Journal of Immunotherapy (1 paper)Journal of General Internal Medicine (1 paper)International Journal of Medical Informatics (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Han A. Li
7 papers receiving 124 citations
Peers
Comparison fields: 5 of 45
- Infectious Diseases 40
- Neurology 16
- Microbiology 7
- Health Information Management 5
- Health Informatics 1
Countries citing papers authored by Han A. Li
This map shows the geographic impact of Han A. Li'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 Han A. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han A. Li more than expected).
Fields of papers citing papers by Han A. Li
This network shows the impact of papers produced by Han A. Li. 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 Han A. Li. The network helps show where Han A. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Han A. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2020 | 21 | |
| 3 | 2021 | 16 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About Han A. Li
Han A. Li is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine and Health Information Management, having authored 9 papers that have together received 125 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (2 papers), COVID-19 Clinical Research Studies (1 paper), Thermal Regulation in Medicine (1 paper), Urinary and Genital Oncology Studies (1 paper), Electronic Health Records Systems (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), COVID-19 and healthcare impacts (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Infectious Diseases (40 citations), Neurology (16 citations), Microbiology (7 citations), Health Information Management (5 citations) and Health Informatics (1 citation). Han A. Li has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Graham T. Wehmeyer, Monika M. Safford, Parag Goyal, Jim W. Cheung, Bruce B. Lerman, Mark N. Alshak, Ilhwan Yeo, Xiaohan Ying, Bryan Ang and Jonathan E. Rosenberg. Their work appears in journals such as European Urology, Journal of Immunotherapy, Journal of General Internal Medicine, International Journal of Medical Informatics and Journal of the American Heart Association.
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.