G.J. Bennett
- Agronomy and Crop Science top 0.2%
- Milk Quality and Mastitis in Dairy Cows 17
- Physiology top 0.5%
- Pain Mechanisms and Treatments 34
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- Neuropeptides and Animal Physiology 11
- Pharmacology top 0.5%
- Musculoskeletal pain and rehabilitation 4
- Small Animals top 1%
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- Genetic and phenotypic traits in livestock 12
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- Botulinum Toxin and Related Neurological Disorders 7
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- Cancer Treatment and Pharmacology 6
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- Ion channel regulation and function 5
- Co-authors
- Ronald DubnerWen XiaoKeith C. KajanderY.H. SchukkenRubén N. GonzálezJ.A. HertlYrjö T. GröhnH. Zheng
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
G.J. Bennett
58 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Agronomy and Crop Science 1.2k
- Physiology 2.6k
- Cellular and Molecular Neuroscience 1.6k
- Pharmacology 975
- Small Animals 282
Countries citing papers authored by G.J. Bennett
This map shows the geographic impact of G.J. Bennett'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 G.J. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.J. Bennett more than expected).
Fields of papers citing papers by G.J. Bennett
This network shows the impact of papers produced by G.J. Bennett. 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 G.J. Bennett. The network helps show where G.J. Bennett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.J. Bennett, 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 | 2024 | 1 | |
| 2 | 2017 | 29 | |
| 3 | 2011 | 81 | |
| 4 | 2011 | 101 | |
| 5 | 2011 | 66 | |
| 6 | 2011 | 87 | |
| 7 | 2011 | 181 | |
| 8 | 2010 | 112 | |
| 9 | 2009 | 86 | |
| 10 | 2008 | 36 | |
| 11 | 2008 | 35 | |
| 12 | 2008 | 52 | |
| 13 | 2007 | 65 | |
| 14 | 2007 | 43 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 151 | |
| 17 | 2004 | 298 | |
| 18 | 1995 | 108 | |
| 19 | 1995 | 15 | |
| 20 | 1989 | 59 |
About G.J. Bennett
G.J. Bennett is a scholar working on Agronomy and Crop Science, Physiology, Cellular and Molecular Neuroscience, Neurology and Anesthesiology and Pain Medicine, having authored 60 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (34 papers), Milk Quality and Mastitis in Dairy Cows (17 papers), Genetic and phenotypic traits in livestock (12 papers), Neuropeptides and Animal Physiology (11 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Cancer Treatment and Pharmacology (6 papers), Ion channel regulation and function (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.2k citations), Physiology (2.6k citations), Cellular and Molecular Neuroscience (1.6k citations), Pharmacology (975 citations) and Small Animals (282 citations). G.J. Bennett has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ronald Dubner, Wen Xiao, Keith C. Kajander, Y.H. Schukken, Rubén N. González, J.A. Hertl, Yrjö T. Gröhn, H. Zheng, Jennifer M.A. Laird and H. F. Schulte. Their work appears in journals such as Journal of Dairy Science, Neuroscience, Brain Research, Pain and Journal of Pain.
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.