Kayla Calhoun
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Virology and Viral Diseases
- Pneumonia and Respiratory Infections
Papers in
- Health 8
- Vaccine Coverage and Hesitancy 8
-
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Cynthia L. Knighton (7 shared papers)Ranee Seither (7 shared papers)Jenelle L. Mellerson (4 shared papers)Vance Dietz (2 shared papers)Carla L. Black (3 shared papers)Ashley Tippins (2 shared papers)J. Michael Underwood (3 shared papers)Oyindamola B. Yusuf (3 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (8 papers)American Journal of Public Health (1 paper)
- Partner nations
- United States
In The Last Decade
Kayla Calhoun
9 papers receiving 293 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Health 215
- Epidemiology 179
- Modeling and Simulation 20
- Infectious Diseases 80
- Obstetrics and Gynecology 33
Countries citing papers authored by Kayla Calhoun
This map shows the geographic impact of Kayla Calhoun'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 Kayla Calhoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla Calhoun more than expected).
Fields of papers citing papers by Kayla Calhoun
This network shows the impact of papers produced by Kayla Calhoun. 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 Kayla Calhoun. The network helps show where Kayla Calhoun may publish in the future.
Co-authors
The 21 scholars most cited alongside Kayla Calhoun, 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 | 2015 | 71 | |
| 2 | Influenza, Tdap, and COVID-19 Vaccination Coverage and Hesitancy Among Pregnant Women — United States, April 2023 Hit paper breakdown → | 2023 | 62 |
| 3 | 2016 | 49 | |
| 4 | 2017 | 39 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 24 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2020 | 3 |
About Kayla Calhoun
Kayla Calhoun is a scholar working on Health, Infectious Diseases, Epidemiology, Hepatology and Obstetrics and Gynecology, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Influenza Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Virology and Viral Diseases (1 paper) and COVID-19 Impact on Reproduction (1 paper). The work is most often cited by research in Health (215 citations), Epidemiology (179 citations), Modeling and Simulation (20 citations), Infectious Diseases (80 citations) and Obstetrics and Gynecology (33 citations). Kayla Calhoun has collaborated with scholars based in United States. Frequent co-authors include Cynthia L. Knighton, Ranee Seither, Jenelle L. Mellerson, Vance Dietz, Carla L. Black, Ashley Tippins, J. Michael Underwood, Oyindamola B. Yusuf, Emma Garacci and Katherine E. Kahn. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report and American Journal of Public Health.
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.