Philip A. Eckhoff

7.7k citations
57 papers · 2.5k · h-index 25

Impact in

Papers in

Philip A. Eckhoff

56 papers receiving 2.4k citations

Peers

Philip A. Eckhoff
Comparison fields: 5 of 159
  • Modeling and Simulation 241
  • Public Health, Environmental and Occupational Health 1.0k
  • Infectious Diseases 355
  • Parasitology 95
  • Pharmaceutical Science 88
Replace Edward A. Wenger with:
Edward A. Wenger United States
Caroline E. Wagner United States
Martin Eichner Germany
Juan Li China
Rachel E. Baker United States
Fidisoa Rasambainarivo United States
Andrew M. Edwards United Kingdom
Luc E. Coffeng Netherlands
Ian Miller United States
Chad J. Roy United States
Philip A. Eckhoff relative to Edward A. Wenger United States Edward A. Wenger's profile →
Citations per field
00.5×1.5×1.8×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016207
2 2017195
3 2013183
4 2015157
5 2015154
6 2016147
7 2016135
8 2011128
9 2015111
10 2015107
11 201575
12 201356
13 200955
14 201553
15 201943
16 201743
17 201341
18 201238
19 200835
20 201629

About Philip A. Eckhoff

Philip A. Eckhoff is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics, Cognitive Neuroscience and Epidemiology, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Mosquito-borne diseases and control (12 papers), Evolution and Genetic Dynamics (8 papers), Neural dynamics and brain function (6 papers), COVID-19 epidemiological studies (4 papers), HIV/AIDS Research and Interventions (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Modeling and Simulation (241 citations), Public Health, Environmental and Occupational Health (1.0k citations), Infectious Diseases (355 citations), Parasitology (95 citations) and Pharmaceutical Science (88 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, Anna Bershteyn, Philip Holmes, Austin Burt, KongFatt Wong‐Lin and Caitlin Bever. Their work appears in journals such as Malaria Journal, PLoS ONE, International Health, 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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