R B Raybourne

952 citations
35 papers · 743 · h-index 15

Impact in

Papers in

    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Salmonella and Campylobacter epidemiology 7

R B Raybourne

35 papers receiving 707 citations

Peers

R B Raybourne
Comparison fields: 5 of 87
  • Endocrinology 85
  • Food Science 223
  • Animal Science and Zoology 124
  • Immunology 226
  • Infectious Diseases 171
Replace T Miyamoto with:
T Miyamoto Japan
T. K. Goswami India
Maureen M. Aitken United States
Taija E. Pietilä Finland
Michael L. Misfeldt United States
Roland Bücker Germany
Koko Mizumachi Japan
Thomas Ruby United States
M. M. Jensen United States
Kristina M. Williams United States
R B Raybourne relative to T Miyamoto Japan T Miyamoto's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by R B Raybourne

Since Specialization
Citations

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

Fields of papers citing papers by R B Raybourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200478
2 200469
3 200265
4 199847
5 199442
6 199439
7 199339
8 198037
9 198837
10 198536
11 200633
12 200327
13 199826
14 199616
15 199415
16 199014
17 200313
18 199711
19 200510
20 199010

About R B Raybourne

R B Raybourne is a scholar working on Immunology, Food Science, Infectious Diseases, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 743 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Salmonella and Campylobacter epidemiology (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Mycobacterium research and diagnosis (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Endocrinology (85 citations), Food Science (223 citations), Animal Science and Zoology (124 citations), Immunology (226 citations) and Infectious Diseases (171 citations). R B Raybourne has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include U. S. Babu, V K Bunning, Masashi Okamura, Robert A. Heckert, Dennis Gaines, H. S. Lillehoj, Hyun S. Lillehoj, Kristina M. Williams, Robert S. Desowitz and Kevin M. Williams. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, Journal of Applied Microbiology, Parasite Immunology and Veterinary Immunology and Immunopathology.

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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