R. C. Chubb

1.2k citations
25 papers · 973 indexed · h-index 13

Impact in

Papers in

R. C. Chubb

25 papers receiving 735 citations

Peers

R. C. Chubb
Comparison fields: 5 of 53
  • Animal Science and Zoology 300
  • Epidemiology 700
  • Virology 77
  • Parasitology 57
  • Infectious Diseases 150
Replace A. E. Churchill with:
A. E. Churchill United States
P. M. Biggs United States
J. J. Solomon United States
Robert F. Silva United States
W. Okazaki United States
Patricia Whitaker‐Dowling United States
Karin Kaelin Switzerland
Mark S. Parcells United States
H. Kawamura Japan
Malon Kit United States
R. C. Chubb relative to A. E. Churchill United States A. E. Churchill's profile →
Citations per field
00.5×1.7×
A. E. Churchill · 1×
Citations per year

Countries citing papers authored by R. C. Chubb

Since Specialization
Citations

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

Fields of papers citing papers by R. C. Chubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside R. C. Chubb, 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. C. Chubb Line = papers co-authored together R. C. Chubb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198815
2 19878
3 19854
4 19764
5 19747
6 197412
7 197312
8 197221
9 197112
10 197054
11 196959
12 1969213
13 19693
14 1969239
15 196864
16 1968149
17 196812
18 19671
19
The significance of the bursa of Fabricius in relation to the synthesis of 7S and 19S immune globulins and specific antibody activity in the fowl.
196629
20 196230

About R. C. Chubb

R. C. Chubb is a scholar working on Animal Science and Zoology, Infectious Diseases, Virology, Epidemiology and Pharmacology, having authored 25 papers that have together received 973 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), Herpesvirus Infections and Treatments (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Virus-based gene therapy research (4 papers), Animal Nutrition and Physiology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Animal Science and Zoology (300 citations), Epidemiology (700 citations), Virology (77 citations), Parasitology (57 citations) and Infectious Diseases (150 citations). R. C. Chubb has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include L. N. Payne, A. E. Churchill, W. Baxendale, P. M. Biggs, P. M. Biggs, F. T. W. Jordan, A. E. Pierce, P. L. Long, R. B. Cumming and D. Powell. Their work appears in journals such as Veterinary Record, Australian Veterinary Journal, Avian Pathology, Journal of General Virology and Research in Veterinary Science.

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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