Alison Han
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 18
- Influenza Virus Research Studies 15
- Respiratory viral infections research 12
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- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Matthew J. Memoli (16 shared papers)Lindsay Czajkowski (13 shared papers)Jeffery K. Taubenberger (11 shared papers)Rani Athota (9 shared papers)Susan Reed (8 shared papers)Tyler Bristol (5 shared papers)John H. Powers (3 shared papers)Pamela A. Shaw (1 shared paper)
- Journals
- Open Forum Infectious Diseases (4 papers)mBio (4 papers)Clinical Infectious Diseases (3 papers)The Journal of Infectious Diseases (2 papers)npj Vaccines (1 paper)
- Partner nations
- United StatesMalawiThailand
In The Last Decade
Alison Han
23 papers receiving 799 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 293
- Epidemiology 500
- Modeling and Simulation 51
- Immunology 217
- Parasitology 29
Countries citing papers authored by Alison Han
This map shows the geographic impact of Alison 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 Alison Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Han more than expected).
Fields of papers citing papers by Alison Han
This network shows the impact of papers produced by Alison 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 Alison Han. The network helps show where Alison Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Alison 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 272 | |
| 2 | 2018 | 68 | |
| 3 | 2001 | 56 | |
| 4 | 2004 | 46 | |
| 5 | 2020 | 45 | |
| 6 | 2019 | 42 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 36 | |
| 9 | 2000 | 34 | |
| 10 | 2002 | 32 | |
| 11 | 2020 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 1997 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 1999 | 13 | |
| 16 | 2019 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 1 |
About Alison Han
Alison Han is a scholar working on Epidemiology, Infectious Diseases, Immunology, Virology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 811 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (12 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Infectious Diseases (293 citations), Epidemiology (500 citations), Modeling and Simulation (51 citations), Immunology (217 citations) and Parasitology (29 citations). Alison Han has collaborated with scholars based in United States, Malawi and Thailand. Frequent co-authors include Matthew J. Memoli, Lindsay Czajkowski, Jeffery K. Taubenberger, Rani Athota, Susan Reed, Tyler Bristol, John H. Powers, Pamela A. Shaw, Adriana Cervantes-Medina and Richard T. Davey. Their work appears in journals such as Open Forum Infectious Diseases, mBio, Clinical Infectious Diseases, The Journal of Infectious Diseases and npj Vaccines.
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.