R. Parton

2.4k citations
97 papers · 1.9k · h-index 25

Impact in

  • Microbiology top 0.2%
    • Bacterial Infections and Vaccines
    • Microbial infections and disease research
    • Escherichia coli research studies

Papers in

    • Bacterial Infections and Vaccines 54
    • Microbial infections and disease research 25
    • RNA and protein synthesis mechanisms 9
    • Bacillus and Francisella bacterial research 7

R. Parton

95 papers receiving 1.8k citations

Peers

R. Parton
Comparison fields: 5 of 111
  • Microbiology 1.2k
  • Endocrinology 333
  • Small Animals 122
  • Epidemiology 432
  • Virology 53
Replace J. G. Coote with:
J. G. Coote United Kingdom
Thomas J. Inzana United States
Katsumi KUME Japan
Shinya Nagai Japan
Janet I. MacInnes Canada
Michael P. Szostak Austria
Susan K. Hoiseth United States
Pier Luigi Fiori Italy
E.D. Heller Israel
Isabelle Derré United States
R. Parton relative to J. G. Coote United Kingdom J. G. Coote's profile →
Citations per field
00.5×1.5×2.5×
J. G. Coote · 1×
Citations per year

Countries citing papers authored by R. Parton

Since Specialization
Citations

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

Fields of papers citing papers by R. Parton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999111
2
Pathogenesis and immunity in pertussis
198896
3 198293
4 198983
5 198976
6 200466
7 199357
8 199151
9 198145
10 200644
11 197641
12 199435
13 197735
14 198833
15 197533
16 200532
17 199932
18 199731
19 199231
20 199630

About R. Parton

R. Parton is a scholar working on Microbiology, Molecular Biology, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (54 papers), Microbial infections and disease research (25 papers), Bacterial Genetics and Biotechnology (17 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Bacteriophages and microbial interactions (10 papers), RNA and protein synthesis mechanisms (9 papers), Escherichia coli research studies (8 papers) and Bacillus and Francisella bacterial research (7 papers). The work is most often cited by research in Microbiology (1.2k citations), Endocrinology (333 citations), Small Animals (122 citations), Epidemiology (432 citations) and Virology (53 citations). R. Parton has collaborated with scholars based in United Kingdom, Canada and Ireland. Frequent co-authors include J. G. Coote, A. C. Wardlaw, John H. Freer, E Hall, Robert Brownlie, H. Gibbs, P. W. J. Taylor, Frank F. Craig, Michael J. Corbel and Dorothy Xing. Their work appears in journals such as Journal of Medical Microbiology, Microbiology, Vaccine, Microbial Pathogenesis 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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