Frederick L. Dunn

1.2k citations
26 papers · 591 · h-index 15

Impact in

Papers in

Frederick L. Dunn

26 papers receiving 509 citations

Peers

Frederick L. Dunn
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 149
  • Parasitology 60
  • Epidemiology 110
  • Modeling and Simulation 16
  • Infectious Diseases 61
Replace A.R. Wickremasinghe with:
A.R. Wickremasinghe Sri Lanka
Sarah Patrick United States
C.P.B. van der Ploeg Netherlands
Angela Cadavid Restrepo Australia
Nao Yamamoto Japan
Marshall Lee United States
Evelia Edith Oyhenart Argentina
Raju Jotkar India
Take Naseri United States
Marie Novak Canada
Frederick L. Dunn relative to A.R. Wickremasinghe Sri Lanka A.R. Wickremasinghe's profile →
Citations per field
00.5×
A.R. Wickremasinghe · 1×
Citations per year

Countries citing papers authored by Frederick L. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Frederick L. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick L. Dunn. 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 Frederick L. Dunn. The network helps show where Frederick L. Dunn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198178
2 199268
3 197052
4
Behavioural aspects of the control of parasitic diseases.
197949
5 199647
6 195843
7 196333
8 195928
9 199727
10 195820
11 196319
12 195919
13 196619
14 196316
15 196615
16 196312
17 196110
18 19599
19 19599
20 19655

About Frederick L. Dunn

Frederick L. Dunn is a scholar working on Social Psychology, Ecology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 591 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (6 papers), Parasite Biology and Host Interactions (6 papers), Influenza Virus Research Studies (3 papers), Diabetes Management and Research (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Outbreaks Research (2 papers), Malaria Research and Control (2 papers) and Pacific and Southeast Asian Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Parasitology (60 citations), Epidemiology (110 citations), Modeling and Simulation (16 citations) and Infectious Diseases (61 citations). Frederick L. Dunn has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Philip Raskin, A Pietri, Frank L. Lambrecht, David M. Nathan, Jean-Louis Sélam, P. Micossi, Jacob A. Brody, Alexander D. Langmuir, Joseph D. Martin and Arthur Cohen. Their work appears in journals such as Journal of Parasitology, American Journal of Tropical Medicine and Hygiene, American Journal of Epidemiology, Folia Primatologica and The Auk.

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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