N.J. Bell
Impact in
- Small Animals top 0.05%
- Animal Behavior and Welfare Studies
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock
Papers in
-
- Animal Behavior and Welfare Studies 40
-
- Animal Disease Management and Epidemiology 22
- Co-authors
- HR Whay (13 shared papers)David Main (9 shared papers)Z.E. Barker (9 shared papers)J.N. Huxley (15 shared papers)K. A. Leach (5 shared papers)Colin Mason (7 shared papers)Edward A. Codling (5 shared papers)Jorge A. Vázquez Diosdado (5 shared papers)
- Journals
- Journal of Dairy Science (12 papers)Veterinary Record (10 papers)The Veterinary Journal (6 papers)Research in Veterinary Science (2 papers)Equine Veterinary Journal (2 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
N.J. Bell
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Small Animals 1.6k
- Animal Science and Zoology 953
- Equine 142
- Agronomy and Crop Science 700
- Genetics 583
Countries citing papers authored by N.J. Bell
This map shows the geographic impact of N.J. Bell'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 N.J. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.J. Bell more than expected).
Fields of papers citing papers by N.J. Bell
This network shows the impact of papers produced by N.J. Bell. 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 N.J. Bell. The network helps show where N.J. Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside N.J. Bell, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 236 | |
| 2 | 2015 | 187 | |
| 3 | 2012 | 129 | |
| 4 | 2008 | 108 | |
| 5 | 2018 | 89 | |
| 6 | 2015 | 81 | |
| 7 | 2012 | 76 | |
| 8 | 2016 | 76 | |
| 9 | 2010 | 74 | |
| 10 | 2016 | 72 | |
| 11 | 2010 | 66 | |
| 12 | 2017 | 63 | |
| 13 | 2014 | 62 | |
| 14 | 2017 | 54 | |
| 15 | An economic review of cattle lameness. | 2009 | 52 |
| 16 | 2012 | 52 | |
| 17 | 2010 | 48 | |
| 18 | 2015 | 31 | |
| 19 | 2017 | 31 | |
| 20 | 2017 | 30 |
About N.J. Bell
N.J. Bell is a scholar working on Small Animals, Agronomy and Crop Science, Animal Science and Zoology, Genetics and Equine, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (40 papers), Animal Disease Management and Epidemiology (22 papers), Effects of Environmental Stressors on Livestock (19 papers), Human-Animal Interaction Studies (7 papers), Genetic and phenotypic traits in livestock (7 papers), Agriculture and Farm Safety (7 papers), Veterinary Equine Medical Research (7 papers) and Wildlife Ecology and Conservation (6 papers). The work is most often cited by research in Small Animals (1.6k citations), Animal Science and Zoology (953 citations), Equine (142 citations), Agronomy and Crop Science (700 citations) and Genetics (583 citations). N.J. Bell has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include HR Whay, David Main, Z.E. Barker, J.N. Huxley, K. A. Leach, Colin Mason, Edward A. Codling, Jorge A. Vázquez Diosdado, Jonathan Amory and Darren P. Croft. Their work appears in journals such as Journal of Dairy Science, Veterinary Record, The Veterinary Journal, Research in Veterinary Science and Equine Veterinary Journal.
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.