R. Lunt

21 papers receiving 508 citations

Peers

R. Lunt
Comparison fields: 5 of 54
  • Virology 114
  • Infectious Diseases 335
  • Agronomy and Crop Science 158
  • Ecology, Evolution, Behavior and Systematics 200
  • Microbiology 49
Replace Samir Issa Samara with:
Samir Issa Samara Brazil
Eveline Wodak Austria
HA WESTBURY Australia
Eric Hansson Australia
Vega Álvarez Spain
Yevgeny Khinich Israel
Asefa Deressa Ethiopia
Jonas Johansson Wensman Sweden
Bruce Harrower Australia
Kridsada Chaichoun Thailand
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Citations per field
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Samir Issa Samara · 1×
Citations per year

Countries citing papers authored by R. Lunt

Since Specialization
Citations

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

Fields of papers citing papers by R. Lunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198878
2 199774
3 200166
4
Rubella arthritis in adults. Isolation of virus, cytology and other aspects of the synovial reaction.
198535
5 200234
6 198831
7 198730
8 201425
9 200523
10 199720
11 200617
12 198716
13
Polymorphisms in the gene encoding angiotensin 1-converting enzyme and relationship to its post-translational product in cerebral infarction.
199416
14 200615
15 201014
16 199412
17 201910
18 19946
19 19996
20
Australian Bat Lyssavirus: Observations of Natural and Experimental Infection in Bats
20052

About R. Lunt

R. Lunt is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 531 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (11 papers), Viral Infections and Vectors (10 papers), Animal Disease Management and Epidemiology (8 papers), Virology and Viral Diseases (6 papers), Rabies epidemiology and control (5 papers), Streptococcal Infections and Treatments (3 papers), Viral Infections and Immunology Research (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Virology (114 citations), Infectious Diseases (335 citations), Agronomy and Crop Science (158 citations), Ecology, Evolution, Behavior and Systematics (200 citations) and Microbiology (49 citations). R. Lunt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John R. White, Stuart D. Blacksell, Alex D. Hyatt, David T. Williams, Kim Newberry, Peter W. Daniels, L F Wang, Laurence J. Gleeson, J. S. Mackenzie and Bryan T. Eaton. Their work appears in journals such as Australian Veterinary Journal, Veterinary Microbiology, Journal of General Virology, Revue Scientifique et Technique de l OIE and Veterinary Record.

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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