Amy E. Blain
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Microbiology 30
- Bacterial Infections and Vaccines 30
-
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Jessica R. MacNeil (16 shared papers)Xin Wang (17 shared papers)Amanda C. Cohn (5 shared papers)Sarah A. Mbaeyi (9 shared papers)Sara E. Oliver (8 shared papers)Julia Warner Gargano (4 shared papers)Grace Lee (4 shared papers)Stephen C. Hadler (4 shared papers)
- Journals
- Clinical Infectious Diseases (10 papers)MMWR Morbidity and Mortality Weekly Report (9 papers)Open Forum Infectious Diseases (6 papers)The Journal of Infectious Diseases (2 papers)Vaccine (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Amy E. Blain
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Microbiology 881
- Health 220
- Infectious Diseases 309
- Toxicology 45
- Modeling and Simulation 39
Countries citing papers authored by Amy E. Blain
This map shows the geographic impact of Amy E. Blain'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 Amy E. Blain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy E. Blain more than expected).
Fields of papers citing papers by Amy E. Blain
This network shows the impact of papers produced by Amy E. Blain. 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 Amy E. Blain. The network helps show where Amy E. Blain may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy E. Blain, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 153 | |
| 2 | 2017 | 145 | |
| 3 | 2021 | 133 | |
| 4 | 2018 | 118 | |
| 5 | 2017 | 111 | |
| 6 | 2021 | 111 | |
| 7 | 2019 | 66 | |
| 8 | 2017 | 63 | |
| 9 | 2020 | 61 | |
| 10 | 2017 | 59 | |
| 11 | 2020 | 52 | |
| 12 | 2016 | 41 | |
| 13 | 2020 | 40 | |
| 14 | 2011 | 37 | |
| 15 | 2014 | 37 | |
| 16 | 2018 | 37 | |
| 17 | 2020 | 37 | |
| 18 | 2021 | 33 | |
| 19 | 2018 | 31 | |
| 20 | 2015 | 29 |
About Amy E. Blain
Amy E. Blain is a scholar working on Microbiology, Infectious Diseases, Molecular Medicine, Modeling and Simulation and Epidemiology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (30 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Antibiotic Resistance in Bacteria (3 papers), COVID-19 epidemiological studies (2 papers), Data-Driven Disease Surveillance (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Microbiology (881 citations), Health (220 citations), Infectious Diseases (309 citations), Toxicology (45 citations) and Modeling and Simulation (39 citations). Amy E. Blain has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Jessica R. MacNeil, Xin Wang, Amanda C. Cohn, Sarah A. Mbaeyi, Sara E. Oliver, Julia Warner Gargano, Grace Lee, Stephen C. Hadler, H. Keipp Talbot and Megan M. Wallace. Their work appears in journals such as Clinical Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, Open Forum Infectious Diseases, The Journal of Infectious Diseases 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.