Stephen R. Doyle

52 papers receiving 1.0k citations

Peers

Stephen R. Doyle
Comparison fields: 5 of 86
  • Small Animals 458
  • Parasitology 403
  • Aging 42
  • Ecology 564
  • Animal Science and Zoology 80
Replace Élida Mara Leite Rabelo with:
Élida Mara Leite Rabelo Brazil
Jörg Hirzmann Germany
W.D. Smith United Kingdom
L. H. Chappell United Kingdom
Neil B. Chilton Australia
Marta Špakulová Slovakia
Ian Scott New Zealand
Eiji Nagayasu Japan
Randall J. DeJong United States
Martin L. Adamson Canada
Stephen R. Doyle relative to Élida Mara Leite Rabelo Brazil Élida Mara Leite Rabelo's profile →
Citations per field
00.5×3.1×
Élida Mara Leite Rabelo · 1×
Citations per year

Countries citing papers authored by Stephen R. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen R. Doyle. 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 Stephen R. Doyle. The network helps show where Stephen R. Doyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201968
3 201956
4 202054
5 201753
6 202051
7 201951
8 202249
9 201743
10 201837
11 202232
12 202230
13 200727
14 201726
15 201724
16 202223
17 201822
18 201622
19 202219
20 202019

About Stephen R. Doyle

Stephen R. Doyle is a scholar working on Ecology, Small Animals, Parasitology, Molecular Biology and Plant Science, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (34 papers), Helminth infection and control (21 papers), Parasites and Host Interactions (17 papers), Parasitic Diseases Research and Treatment (7 papers), Nematode management and characterization studies (6 papers), Insect symbiosis and bacterial influences (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Small Animals (458 citations), Parasitology (403 citations), Aging (42 citations), Ecology (564 citations) and Animal Science and Zoology (80 citations). Stephen R. Doyle has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include James A. Cotton, Matthew Berriman, Chee Kai Chan, John S. Gilleard, Nancy Holroyd, Warwick N. Grant, Roger K. Prichard, Jan M. Strugnell, Neil Sargison and Roz Laing. Their work appears in journals such as International Journal for Parasitology Drugs and Drug Resistance, International Journal for Parasitology, Nature Communications, Trends in Parasitology and Parasites & Vectors.

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.

Explore authors with similar magnitude of impact