Michael Daugherty
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
Papers in
- Health 4
- Vaccine Coverage and Hesitancy 4
-
- Pneumonia and Respiratory Infections 2
- Influenza Virus Research Studies 2
- Co-authors
- Fatimah S. Dawood (3 shared papers)Melissa S. Stockwell (2 shared papers)Evan J. Anderson (2 shared papers)Walter A. Orenstein (2 shared papers)Larry K. Pickering (1 shared paper)Ram Yogev (1 shared paper)Ashley N. Battarbee (1 shared paper)Akila Subramaniam (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)The Journal of Pediatrics (1 paper)JAMA Pediatrics (1 paper)American Journal of Perinatology (1 paper)The Lancet Infectious Diseases (1 paper)
- Partner nations
- United StatesEcuadorUganda
In The Last Decade
Michael Daugherty
7 papers receiving 286 citations
Peers
Comparison fields: 5 of 63
- Health 112
- Obstetrics and Gynecology 99
- Modeling and Simulation 38
- Infectious Diseases 120
- Pediatrics, Perinatology and Child Health 49
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 | 87 | |
| 2 | 2021 | 72 | |
| 3 | 2020 | 58 | |
| 4 | 2018 | 36 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 9 | |
| 7 | 2021 | 8 |
About Michael Daugherty
Michael Daugherty is a scholar working on Health, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 7 papers that have together received 290 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Pneumonia and Respiratory Infections (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Impact on Reproduction (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Health (112 citations), Obstetrics and Gynecology (99 citations), Modeling and Simulation (38 citations), Infectious Diseases (120 citations) and Pediatrics, Perinatology and Child Health (49 citations). Michael Daugherty has collaborated with scholars based in United States, Ecuador and Uganda. Frequent co-authors include Fatimah S. Dawood, Melissa S. Stockwell, Evan J. Anderson, Walter A. Orenstein, Larry K. Pickering, Ram Yogev, Ashley N. Battarbee, Akila Subramaniam, Tiffany J. Chen and Cynthia Gyamfi‐Bannerman. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Pediatrics, JAMA Pediatrics, American Journal of Perinatology and The Lancet Infectious Diseases.
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.