Christopher E. Overton

3.1k citations
36 papers · 829 · h-index 13

Impact in

Papers in

Christopher E. Overton

32 papers receiving 786 citations

Peers

Christopher E. Overton
Comparison fields: 5 of 99
  • Modeling and Simulation 176
  • Obstetrics and Gynecology 199
  • Virology 80
  • Medical Laboratory Technology 25
  • Reproductive Medicine 119
Replace Pradip Dashraath with:
Pradip Dashraath Singapore
Mario Antunes Italy
Frédérique Jacquérioz Switzerland
José Diego Brito-Sousa Brazil
Eric A. Meyerowitz United States
Melanie D. Swift United States
Bankole Olatosi United States
Srikanth Umakanthan Trinidad and Tobago
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Citations per field
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Citations per year

Countries citing papers authored by Christopher E. Overton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher E. Overton Line = papers co-authored together Christopher E. Overton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997210
2 202194
3 202276
4
The Back Injury Prevention Project pilot study. Assessing the effectiveness of back attack, an injury prevention program among nurses, aides, and orderlies.
199375
5 199365
6 202245
7 202243
8 202227
9 202126
10 202219
11 199515
12 202214
13 202213
14 202311
15 20249
16 20229
17 20249
18 20219
19 20199
20 20249

About Christopher E. Overton

Christopher E. Overton is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 36 papers that have together received 829 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Data-Driven Disease Surveillance (4 papers), COVID-19 Clinical Research Studies (4 papers), Evolution and Genetic Dynamics (3 papers), Influenza Virus Research Studies (3 papers), Poxvirus research and outbreaks (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Obstetrics and Gynecology (199 citations), Virology (80 citations), Medical Laboratory Technology (25 citations) and Reproductive Medicine (119 citations). Christopher E. Overton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Janet Hargreaves, Michael Maresh, Thomas Ward, Robert S. Paton, Barbara Valanis, Adrianne C. Feldstein, Rachel Christie, Lorenzo Pellis, William M. Vollmer and Nancy J. Stevens. Their work appears in journals such as PLoS Computational Biology, Journal of Infection, Nature Communications, Epidemiology and Infection and Journal of Theoretical Biology.

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.

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