Tom Carr
Impact in
- Animal Science and Zoology top 0.2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Pharmacological Effects and Assays
- Food Science top 2%
- Sensory Analysis and Statistical Methods
Papers in
-
- Meat and Animal Product Quality 34
- Animal Nutrition and Physiology 16
- Genetics 8
- Genetic and phenotypic traits in livestock 8
- Co-authors
- F. K. McKeith (24 shared papers)Jan Novakofski (14 shared papers)Peter J. Bechtel (5 shared papers)D. L. DeVol (1 shared paper)R.D. Shanks (1 shared paper)M.J. Beriain (7 shared papers)Lynne Sweeney (2 shared papers)Y.H. LAN (7 shared papers)
- Journals
- Journal of Food Science (13 papers)Journal of Animal Science (12 papers)Meat Science (3 papers)Journal of Muscle Foods (3 papers)Food Quality and Preference (2 papers)
- Partner nations
- United StatesSpainUkraine
In The Last Decade
Tom Carr
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Animal Science and Zoology 1.2k
- Food Science 404
- Small Animals 127
- Tourism, Leisure and Hospitality Management 16
- Nutrition and Dietetics 117
Countries citing papers authored by Tom Carr
This map shows the geographic impact of Tom Carr'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 Tom Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Carr more than expected).
Fields of papers citing papers by Tom Carr
This network shows the impact of papers produced by Tom Carr. 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 Tom Carr. The network helps show where Tom Carr may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Carr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 278 | |
| 2 | 1985 | 167 | |
| 3 | 1996 | 110 | |
| 4 | 1993 | 87 | |
| 5 | 2010 | 85 | |
| 6 | 1993 | 69 | |
| 7 | 1991 | 50 | |
| 8 | 1993 | 48 | |
| 9 | 1995 | 47 | |
| 10 | 1987 | 47 | |
| 11 | 1993 | 41 | |
| 12 | 1995 | 38 | |
| 13 | 2008 | 37 | |
| 14 | 2009 | 36 | |
| 15 | 2011 | 35 | |
| 16 | 2009 | 35 | |
| 17 | 1993 | 33 | |
| 18 | 1985 | 32 | |
| 19 | 2003 | 31 | |
| 20 | 2011 | 31 |
About Tom Carr
Tom Carr is a scholar working on Animal Science and Zoology, Genetics, Food Science, Cell Biology and Nutrition and Dietetics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (34 papers), Animal Nutrition and Physiology (16 papers), Genetic and phenotypic traits in livestock (8 papers), Muscle metabolism and nutrition (6 papers), Sensory Analysis and Statistical Methods (5 papers), Wine Industry and Tourism (4 papers), Food Quality and Safety Studies (4 papers) and Bee Products Chemical Analysis (4 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Food Science (404 citations), Small Animals (127 citations), Tourism, Leisure and Hospitality Management (16 citations) and Nutrition and Dietetics (117 citations). Tom Carr has collaborated with scholars based in United States, Spain and Ukraine. Frequent co-authors include F. K. McKeith, Jan Novakofski, Peter J. Bechtel, D. L. DeVol, R.D. Shanks, M.J. Beriain, Lynne Sweeney, Y.H. LAN, M.S. BREWER and Jerry Cannon. Their work appears in journals such as Journal of Food Science, Journal of Animal Science, Meat Science, Journal of Muscle Foods and Food Quality and Preference.
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.