Robin Skuce

6.8k citations
82 papers · 3.3k · h-index 35

Impact in

Papers in

Robin Skuce

82 papers receiving 3.2k citations

Peers

Robin Skuce
Comparison fields: 5 of 111
  • Infectious Diseases 2.2k
  • Microbiology 509
  • Epidemiology 1.9k
  • Agronomy and Crop Science 610
  • Small Animals 289
Replace Eamonn Gormley with:
Eamonn Gormley Ireland
Beatriz Romero Spain
Ana Mateos Spain
Lucía de Juan Spain
S.D. Neill United Kingdom
Janet B. Payeur United States
Suelee Robbe‐Austerman United States
María Beatrice Boniotti Italy
J. McNair United Kingdom
Frank E. Aldwell New Zealand
Robin Skuce relative to Eamonn Gormley Ireland Eamonn Gormley's profile →
Citations per field
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Eamonn Gormley · 1×
Citations per year

Countries citing papers authored by Robin Skuce

Since Specialization
Citations

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

Fields of papers citing papers by Robin Skuce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002170
2 2004155
3
Spacer oligonucleotide typing of bacteria of the Mycobacterium tuberculosis complex: recommendations for standardised nomenclature.
2001152
4 2012140
5 2012140
6 2002128
7 2019114
8 2018103
9 199195
10 199486
11 201080
12 200579
13 198575
14 199872
15 199370
16 200568
17 199266
18 201561
19 200760
20 200556

About Robin Skuce

Robin Skuce is a scholar working on Infectious Diseases, Epidemiology, Surgery, Agronomy and Crop Science and Microbiology, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (58 papers), Mycobacterium research and diagnosis (53 papers), Microbial infections and disease research (13 papers), Animal Disease Management and Epidemiology (13 papers), Infectious Diseases and Tuberculosis (9 papers), Diagnosis and treatment of tuberculosis (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Zoonotic diseases and public health (4 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Microbiology (509 citations), Epidemiology (1.9k citations), Agronomy and Crop Science (610 citations) and Small Animals (289 citations). Robin Skuce has collaborated with scholars based in United Kingdom, Ireland and France. Frequent co-authors include Adrian Allen, S.W.J. McDowell, S.D. Neill, M S Hughes, David Brittain, J.M. Pollock, Andrew W. Byrne, Solvig Roring, R. Glyn Hewinson and Carl McCormick. Their work appears in journals such as Journal of Clinical Microbiology, Veterinary Microbiology, Veterinary Record, Infection Genetics and Evolution and Tuberculosis.

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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