Kathryn Rough

20 papers receiving 467 citations

Peers

Kathryn Rough
Comparison fields: 5 of 86
  • Infectious Diseases 131
  • Health Informatics 9
  • Pediatrics, Perinatology and Child Health 104
  • Virology 23
  • Public Health, Environmental and Occupational Health 112
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Aaloke Mody United States
Caí­que Jordan Nunes Ribeiro Brazil
Christine A. Pace United States
Serena Brusamento United Kingdom
Alfred Osoti Kenya
Margaret Nakakeeto Uganda
E. Chomba United States
Samanta Tresha Lalla‐Edward South Africa
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Citations per year

Countries citing papers authored by Kathryn Rough

Since Specialization
Citations

This map shows the geographic impact of Kathryn Rough'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 Kathryn Rough with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Rough more than expected).

Fields of papers citing papers by Kathryn Rough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn Rough. 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 Kathryn Rough. The network helps show where Kathryn Rough may publish in the future.

Co-authors

The 25 scholars most cited alongside Kathryn Rough, 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 Kathryn Rough Line = papers co-authored together Kathryn Rough links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017103
2 201470
3 201142
4 201333
5 201330
6 201728
7 201828
8 201818
9 202317
10 202016
11 201815
12 202014
13 201713
14 201613
15 20189
16 20148
17 20187
18 20246
19 20184
20 20181

About Kathryn Rough

Kathryn Rough is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Machine Learning in Healthcare (4 papers), Opioid Use Disorder Treatment (3 papers), Gestational Diabetes Research and Management (2 papers), Artificial Intelligence in Healthcare (2 papers), Prenatal Substance Exposure Effects (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Infectious Diseases (131 citations), Health Informatics (9 citations), Pediatrics, Perinatology and Child Health (104 citations), Virology (23 citations) and Public Health, Environmental and Occupational Health (112 citations). Kathryn Rough has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Sonia Hernández–Dı́az, Brian T. Bateman, Krista F. Huybrechts, Rishi Desai, Elisabetta Patorno, George R. Seage, Janan Dietrich, Ingrid T. Katz, Glenda Gray and Hyeouk Chris Hahm. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, AIDS and Behavior, PLoS ONE, AIDS and Diabetes Obesity and Metabolism.

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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