Michael Daugherty
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 3
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Fatimah S. Dawood (3 shared papers)Melissa S. Stockwell (2 shared papers)Evan J. Anderson (2 shared papers)Walter Albert Orenstein (2 shared papers)Larry K. Pickering (1 shared paper)Ram Yogev (1 shared paper)Ashley N. Battarbee (1 shared paper)Vic Veguilla (1 shared paper)
- Journals
- Clinical Infectious Diseases (3 papers)Open Forum Infectious Diseases (2 papers)Influenza and Other Respiratory Viruses (1 paper)The Journal of Pediatrics (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Daugherty
11 papers receiving 355 citations
Peers
Comparison fields: 5 of 51
- Health 103
- Modeling and Simulation 45
- Infectious Diseases 129
- Obstetrics and Gynecology 33
- General Dentistry 1
Countries citing papers authored by Michael Daugherty
This map shows the geographic impact of Michael Daugherty'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 Michael Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Daugherty more than expected).
Fields of papers citing papers by Michael Daugherty
This network shows the impact of papers produced by Michael Daugherty. 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 Michael Daugherty. The network helps show where Michael Daugherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Daugherty, 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 | 2021 | 95 | |
| 2 | 2021 | 90 | |
| 3 | 2020 | 61 | |
| 4 | 2018 | 42 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 14 | |
| 7 | 2019 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 0 |
About Michael Daugherty
Michael Daugherty is a scholar working on Modeling and Simulation, Health, Obstetrics and Gynecology, Infectious Diseases and Epidemiology, having authored 12 papers that have together received 363 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 Impact on Reproduction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (1 paper), COVID-19 Clinical Research Studies (1 paper), Orthopedic Infections and Treatments (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Health (103 citations), Modeling and Simulation (45 citations), Infectious Diseases (129 citations), Obstetrics and Gynecology (33 citations) and General Dentistry (1 citation). Michael Daugherty has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Fatimah S. Dawood, Melissa S. Stockwell, Evan J. Anderson, Walter Albert Orenstein, Larry K. Pickering, Ram Yogev, Ashley N. Battarbee, Vic Veguilla, Romeo R. Galang and Jennifer K. Meece. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, Influenza and Other Respiratory Viruses, The Journal of Pediatrics 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.