Larry Han
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
-
- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
- Cardiovascular Effects of Exercise
Papers in
-
- Advanced Causal Inference Techniques 7
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Inference 4
-
- HIV/AIDS Research and Interventions 12
- Co-authors
- Joseph Tucker (20 shared papers)Chongyi Wei (11 shared papers)Kathryn Elizabeth Muessig (6 shared papers)Cedric H. Bien (6 shared papers)Weiming Tang (13 shared papers)John Best (3 shared papers)Bin Yang (7 shared papers)Daniel Louis Jacoby (4 shared papers)
- Journals
- Journal of the International AIDS Society (2 papers)BMC Infectious Diseases (2 papers)JAMA Network Open (2 papers)The Annals of Thoracic Surgery (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Larry Han
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 377
- Cardiology and Cardiovascular Medicine 330
- Virology 49
- Epidemiology 219
- Health Informatics 8
Countries citing papers authored by Larry Han
This map shows the geographic impact of Larry Han'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 Larry Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Han more than expected).
Fields of papers citing papers by Larry Han
This network shows the impact of papers produced by Larry Han. 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 Larry Han. The network helps show where Larry Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Larry Han, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2015 | 105 | |
| 3 | 2020 | 87 | |
| 4 | 2021 | 82 | |
| 5 | 2019 | 78 | |
| 6 | 2014 | 66 | |
| 7 | 2020 | 57 | |
| 8 | 2017 | 52 | |
| 9 | 2017 | 52 | |
| 10 | 2017 | 50 | |
| 11 | 2017 | 47 | |
| 12 | 2014 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2015 | 34 | |
| 16 | 2016 | 30 | |
| 17 | 2021 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2019 | 16 |
About Larry Han
Larry Han is a scholar working on Statistics and Probability, Infectious Diseases, Virology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), Advanced Causal Inference Techniques (7 papers), Statistical Methods in Clinical Trials (6 papers), HIV, Drug Use, Sexual Risk (4 papers), Statistical Methods and Inference (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Congenital Heart Disease Studies (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (377 citations), Cardiology and Cardiovascular Medicine (330 citations), Virology (49 citations), Epidemiology (219 citations) and Health Informatics (8 citations). Larry Han has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joseph Tucker, Chongyi Wei, Kathryn Elizabeth Muessig, Cedric H. Bien, Weiming Tang, John Best, Bin Yang, Daniel Louis Jacoby, Alexandre C. Pereira and Euan Angus Ashley. Their work appears in journals such as Journal of the International AIDS Society, BMC Infectious Diseases, JAMA Network Open, The Annals of Thoracic Surgery and PLoS ONE.
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.