Philip A. Eckhoff

7.6k citations
54 papers · 2.0k · h-index 24

Impact in

Papers in

Philip A. Eckhoff

54 papers receiving 1.9k citations

Peers

Philip A. Eckhoff
Comparison fields: 5 of 134
  • Modeling and Simulation 272
  • Public Health, Environmental and Occupational Health 1.0k
  • Parasitology 150
  • Infectious Diseases 414
  • Insect Science 148
Replace Edward A. Wenger with:
Edward A. Wenger United States
Helen J. Wearing United States
Lauren M. Childs United States
M. Gabriela M. Gomes Portugal
Donal Bisanzio United States
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Jean M. Tchuenche Tanzania
Marc Choisy France
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Citations per field
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Edward A. Wenger · 1×
Citations per year

Countries citing papers authored by Philip A. Eckhoff

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Eckhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Eckhoff. 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 Philip A. Eckhoff. The network helps show where Philip A. Eckhoff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013173
2 2015147
3 2016134
4 2015133
5 2016129
6 2011123
7 2015108
8 2015106
9 201572
10 201353
11 200952
12 201549
13 201742
14 201940
15 201238
16 201338
17 200835
18 201628
19 201228
20 201728

About Philip A. Eckhoff

Philip A. Eckhoff is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics, Epidemiology and Cognitive Neuroscience, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Malaria Research and Control (20 papers), Mosquito-borne diseases and control (19 papers), Evolution and Genetic Dynamics (10 papers), Neural dynamics and brain function (6 papers), HIV/AIDS Research and Interventions (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), COVID-19 epidemiological studies (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Modeling and Simulation (272 citations), Public Health, Environmental and Occupational Health (1.0k citations), Parasitology (150 citations), Infectious Diseases (414 citations) and Insect Science (148 citations). Philip A. Eckhoff has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Edward A. Wenger, Joshua L. Proctor, Karima Nigmatulina, Hao Hu, Daniel J. Klein, Hubert Charles, Philip Holmes, Anna Bershteyn, KongFatt Wong‐Lin and Austin Burt. Their work appears in journals such as Malaria Journal, International Health, PLoS ONE, BMC Medicine and Nature Communications.

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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