John T. Redd

2.5k citations
67 papers · 1.4k · 1 hit paper · h-index 23

Impact in

Papers in

John T. Redd

64 papers receiving 1.3k citations

John T. Redd's Hit Papers

Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015 2018 · 304 citations
3040+2+5Years since publication100200300

Peers

John T. Redd
Comparison fields: 5 of 118
  • Infectious Diseases 431
  • Modeling and Simulation 100
  • Health 106
  • Emergency Medical Services 81
  • Clinical Psychology 247
Replace Rebecca M. Coulborn with:
Rebecca M. Coulborn United States
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Citations per field
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Citations per year

Countries citing papers authored by John T. Redd

Since Specialization
Citations

This map shows the geographic impact of John T. Redd'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 John T. Redd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Redd more than expected).

Fields of papers citing papers by John T. Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Redd. 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 John T. Redd. The network helps show where John T. Redd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015
Hit paper breakdown →
2018304
2 200775
3 201366
4 201650
5 201749
6 201244
7 201241
8 201138
9 201737
10 199536
11 201534
12 200233
13 201633
14 201931
15 200831
16 201031
17 201427
18 201426
19 201126
20 201723

About John T. Redd

John T. Redd is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, Emergency Medical Services and Hepatology, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (18 papers), Global Security and Public Health (7 papers), Disaster Response and Management (6 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), Influenza Virus Research Studies (5 papers), COVID-19 epidemiological studies (4 papers) and Global Maternal and Child Health (4 papers). The work is most often cited by research in Infectious Diseases (431 citations), Modeling and Simulation (100 citations), Health (106 citations), Emergency Medical Services (81 citations) and Clinical Psychology (247 citations). John T. Redd has collaborated with scholars based in United States, Sierra Leone and Uganda. Frequent co-authors include Sara Hersey, Rebecca Bunnell, Barbara J. Marston, Mohamed F. Jalloh, Oliver Morgan, James E. Cheek, Foday Dafae, Wenshu Li, Paul Sengeh and Mohammad B. Jalloh. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Public Health Reports, Epidemiology and Infection, American Journal of Public Health and Vaccine.

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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