Christopher E. Overton
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- COVID-19 epidemiological studies 16
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 4
- Co-authors
- Michael Maresh (1 shared paper)Janet Hargreaves (1 shared paper)Thomas Ward (13 shared papers)Robert S. Paton (5 shared papers)Barbara Valanis (2 shared papers)Adrianne C. Feldstein (2 shared papers)Rachel Christie (5 shared papers)William M. Vollmer (1 shared paper)
- Journals
- PLoS Computational Biology (6 papers)Journal of Infection (4 papers)Nature Communications (2 papers)Journal of Theoretical Biology (2 papers)Epidemiology and Infection (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Christopher E. Overton
32 papers receiving 753 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 198
- Medical Laboratory Technology 40
- Obstetrics and Gynecology 201
- Reproductive Medicine 185
- Virology 80
Countries citing papers authored by Christopher E. Overton
This map shows the geographic impact of Christopher E. Overton'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 Christopher E. Overton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher E. Overton more than expected).
Fields of papers citing papers by Christopher E. Overton
This network shows the impact of papers produced by Christopher E. Overton. 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 Christopher E. Overton. The network helps show where Christopher E. Overton may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher E. Overton, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 198 | |
| 2 | 2021 | 92 | |
| 3 | The Back Injury Prevention Project pilot study. Assessing the effectiveness of back attack, an injury prevention program among nurses, aides, and orderlies. | 1993 | 75 |
| 4 | 2022 | 74 | |
| 5 | 1993 | 65 | |
| 6 | 2022 | 43 | |
| 7 | 2022 | 38 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 1995 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2019 | 8 |
About Christopher E. Overton
Christopher E. Overton is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Health and Epidemiology, having authored 35 papers that have together received 793 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (5 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (4 papers), Bacillus and Francisella bacterial research (4 papers) and Poxvirus research and outbreaks (3 papers). The work is most often cited by research in Modeling and Simulation (198 citations), Medical Laboratory Technology (40 citations), Obstetrics and Gynecology (201 citations), Reproductive Medicine (185 citations) and Virology (80 citations). Christopher E. Overton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael Maresh, Janet Hargreaves, Thomas Ward, Robert S. Paton, Barbara Valanis, Adrianne C. Feldstein, Rachel Christie, William M. Vollmer, Lorenzo Pellis and Nancy J. Stevens. Their work appears in journals such as PLoS Computational Biology, Journal of Infection, Nature Communications, Journal of Theoretical Biology and Epidemiology and Infection.
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.