John E. Donelson

70 papers receiving 4.1k citations

Peers

John E. Donelson
Comparison fields: 5 of 107
  • Parasitology 582
  • Epidemiology 2.0k
  • Public Health, Environmental and Occupational Health 1.4k
  • Insect Science 474
  • Molecular Biology 2.1k
Replace Nicolas J. Fasel with:
Nicolas J. Fasel Switzerland
John E. Brestelli United States
Deborah E. Dobson United States
Deborah F. Smith United Kingdom
Jerry E. Manning United States
Deborah F. Smith United Kingdom
John E. Donelson United States
Gaëlle Blandin France
Joachim Clos Germany
Sara E. Melville United Kingdom
John E. Donelson relative to Nicolas J. Fasel Switzerland Nicolas J. Fasel's profile →
Citations per field
00.5×1.5×2×2.3×
Nicolas J. Fasel · 1×
Citations per year

Countries citing papers authored by John E. Donelson

Since Specialization
Citations

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

Fields of papers citing papers by John E. Donelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989349
2 1989283
3 1989249
4 1985214
5 1973200
6 1980145
7 1992113
8 1995112
9 199496
10 199895
11 198594
12 198993
13 198992
14 198982
15 199082
16 198979
17 200079
18 199278
19 198873
20 198473

About John E. Donelson

John E. Donelson is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology and Ecology, having authored 70 papers that have together received 4.3k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (38 papers), Research on Leishmaniasis Studies (22 papers), Biochemical and Molecular Research (13 papers), RNA and protein synthesis mechanisms (13 papers), Bacteriophages and microbial interactions (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Heat shock proteins research (6 papers) and Parasites and Host Interactions (6 papers). The work is most often cited by research in Parasitology (582 citations), Epidemiology (2.0k citations), Public Health, Environmental and Occupational Health (1.4k citations), Insect Science (474 citations) and Molecular Biology (2.1k citations). John E. Donelson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David J. Moser, Louis V. Kirchhoff, David M. Engman, Mary Edythe Wilson, R A Maurer, Christopher R. Erwin, Allison C. Rice‐Ficht, Robert Alfred Clark, Bryan D. Volpp and William Michael Nauseef. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Biochemical Parasitology, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Infection and Immunity.

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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