Philip E. Stewart

4.3k citations
57 papers · 3.3k indexed · h-index 29

Impact in

  • Parasitology top 0.1%
    • Vector-borne infectious diseases
    • Insect symbiosis and bacterial influences
    • Insect and Pesticide Research

Papers in

    • Vector-borne infectious diseases 39
    • Insect symbiosis and bacterial influences 18
    • Insect and Pesticide Research 7

Philip E. Stewart

57 papers receiving 3.3k citations

Peers

Philip E. Stewart
Comparison fields: 5 of 89
  • Parasitology 2.6k
  • Insect Science 1.2k
  • Infectious Diseases 1.7k
  • Ecology, Evolution, Behavior and Systematics 899
  • Biotechnology 199
Replace Guiquan Guan with:
Guiquan Guan China
Renato Andreotti Brazil
Marc C. Dolan United States
Erich Zweygarth South Africa
Xiaofeng Yang United States
Pilar Alberdi Spain
Mohamed Aziz Darghouth Tunisia
Will L. Goff United States
T. T. Dolan Kenya
Youquan Li China
Philip E. Stewart relative to Guiquan Guan China Guiquan Guan's profile →
Citations per field
00.5×7.7×
Guiquan Guan · 1×
Citations per year

Countries citing papers authored by Philip E. Stewart

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Stewart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20231
3 20223
4 202126
5 20198
6 201819
7 201717
8 201215
9 201022
10 200820
11 2008152
12 2006259
13 200691
14 2005162
15 2004346
16 200490
17 200063
18 199680
19 199433
20 199213

About Philip E. Stewart

Philip E. Stewart is a scholar working on Parasitology, Insect Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Biotechnology, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (39 papers), Viral Infections and Vectors (25 papers), Insect symbiosis and bacterial influences (18 papers), Vector-Borne Animal Diseases (16 papers), Enzyme-mediated dye degradation (9 papers), Insect and Pesticide Research (7 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Parasitology (2.6k citations), Insect Science (1.2k citations), Infectious Diseases (1.7k citations), Ecology, Evolution, Behavior and Systematics (899 citations) and Biotechnology (199 citations). Philip E. Stewart has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Patricia A. Rosa, Kit Tilly, Abdallah F. Elias, Dorothee Grimm, James L. Bono, Rebecca Byram, Jonathan G. Krum, Daniel Cullen, Dawn M. Bueschel and Tom G. Schwan. Their work appears in journals such as Infection and Immunity, Applied and Environmental Microbiology, Journal of Bacteriology, Molecular Microbiology and mBio.

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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