Gary B. Willars
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- Neuropeptides and Animal Physiology 15
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones 12
- Physiology top 2%
- Pain Mechanisms and Treatments 9
- Biochemical effects in animals 8
- Cell Biology top 2%
- Aldose Reductase and Taurine 14
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- Receptor Mechanisms and Signaling 41
- Protein Kinase Regulation and GTPase Signaling 20
- Ion channel regulation and function 15
- Co-authors
- David R. TomlinsonStefan R. NahorskiR. A. John ChallissPaul J. BrightonPhilip SzekeresGraeme WilkinsonCraig A. McArdleTim D. Werry
- Journals
- Journal of Biological Chemistry (10 papers)Molecular Pharmacology (6 papers)British Journal of Pharmacology (6 papers)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Gary B. Willars
95 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 1.3k
- Reproductive Medicine 423
- Physiology 155
- Cell Biology 558
- Endocrine and Autonomic Systems 223
Countries citing papers authored by Gary B. Willars
This map shows the geographic impact of Gary B. Willars'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 Gary B. Willars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary B. Willars more than expected).
Fields of papers citing papers by Gary B. Willars
This network shows the impact of papers produced by Gary B. Willars. 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 Gary B. Willars. The network helps show where Gary B. Willars may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary B. Willars, 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 | 2015 | 59 | |
| 2 | 2015 | 15 | |
| 3 | 2008 | 17 | |
| 4 | 2008 | 20 | |
| 5 | 2008 | 63 | |
| 6 | 2006 | 132 | |
| 7 | 2004 | 7 | |
| 8 | 2003 | 38 | |
| 9 | 2003 | 20 | |
| 10 | 2002 | 80 | |
| 11 | 2002 | 28 | |
| 12 | 2001 | 7 | |
| 13 | 1999 | 66 | |
| 14 | 1996 | 9 | |
| 15 | 1996 | 10 | |
| 16 | 1995 | 53 | |
| 17 | 1995 | 15 | |
| 18 | 1990 | 10 | |
| 19 | 1989 | 11 | |
| 20 | 1988 | 14 |
About Gary B. Willars
Gary B. Willars is a scholar working on Physiology, Reproductive Medicine, Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (41 papers), Protein Kinase Regulation and GTPase Signaling (20 papers), Neuropeptides and Animal Physiology (15 papers), Ion channel regulation and function (15 papers), Aldose Reductase and Taurine (14 papers), Hypothalamic control of reproductive hormones (12 papers), Pain Mechanisms and Treatments (9 papers) and Biochemical effects in animals (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Reproductive Medicine (423 citations), Physiology (155 citations), Cell Biology (558 citations) and Endocrine and Autonomic Systems (223 citations). Gary B. Willars has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include David R. Tomlinson, Stefan R. Nahorski, R. A. John Challiss, Paul J. Brighton, Philip Szekeres, Graeme Wilkinson, Craig A. McArdle, Tim D. Werry, Nigel J. Brunskill and James S. Davidson. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, British Journal of Pharmacology, Biochemical Journal and Diabetes.
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.