Brian McComb
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
- Viral Infections and Vectors
Papers in
-
- Clostridium difficile and Clostridium perfringens research 5
- Viral gastroenteritis research and epidemiology 2
-
- Streptococcal Infections and Treatments 5
- Co-authors
- Κ. V. Nagaraja (5 shared papers)David A. Halvorson (5 shared papers)Timothy J. Johnson (2 shared papers)Jessica L. Danzeisen (2 shared papers)M. Kariuki Njenga (2 shared papers)Hyun‐Jin Shin (1 shared paper)Julie S. Sherwood (1 shared paper)Sally Noll (1 shared paper)
- Journals
- Avian Diseases (6 papers)Virus Research (1 paper)Frontiers in Veterinary Science (1 paper)PeerJ (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Brian McComb
11 papers receiving 310 citations
Peers
Comparison fields: 5 of 42
- Animal Science and Zoology 126
- Infectious Diseases 182
- Microbiology 25
- Epidemiology 125
- Food Science 42
Countries citing papers authored by Brian McComb
This map shows the geographic impact of Brian McComb'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 Brian McComb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian McComb more than expected).
Fields of papers citing papers by Brian McComb
This network shows the impact of papers produced by Brian McComb. 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 Brian McComb. The network helps show where Brian McComb may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian McComb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2000 | 59 | |
| 3 | 2015 | 45 | |
| 4 | 2002 | 31 | |
| 5 | 2010 | 31 | |
| 6 | 2005 | 23 | |
| 7 | 2010 | 20 | |
| 8 | 2013 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2010 | 3 |
About Brian McComb
Brian McComb is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Immunology and Animal Science and Zoology, having authored 11 papers that have together received 319 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (5 papers), Streptococcal Infections and Treatments (5 papers), Respiratory viral infections research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Animal Virus Infections Studies (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Animal Science and Zoology (126 citations), Infectious Diseases (182 citations), Microbiology (25 citations), Epidemiology (125 citations) and Food Science (42 citations). Brian McComb has collaborated with scholars based in United States and China. Frequent co-authors include Κ. V. Nagaraja, David A. Halvorson, Timothy J. Johnson, Jessica L. Danzeisen, M. Kariuki Njenga, Hyun‐Jin Shin, Julie S. Sherwood, Sally Noll, A. Calvert and Catherine M. Logue. Their work appears in journals such as Avian Diseases, Virus Research, Frontiers in Veterinary Science, PeerJ and Journal of Clinical Microbiology.
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.