Gavin Ferguson
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Sulfur Compounds in Biology
Papers in
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- Glutathione Transferases and Polymorphisms 2
- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 1
- Redox biology and oxidative stress 1
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- Neuropeptides and Animal Physiology 1
- Co-authors
- Wallace Bridge (2 shared papers)Helgi B. Schiöth (1 shared paper)José A. Lorente (1 shared paper)Alexander S. Hauser (1 shared paper)David E. Gloriam (1 shared paper)Cyril Goudet (1 shared paper)Joan Font (1 shared paper)Aurélien Fouillen (1 shared paper)
- Journals
- Archives of Biochemistry and Biophysics (1 paper)Redox Biology (1 paper)Nature Communications (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- AustraliaFranceUnited Kingdom
In The Last Decade
Gavin Ferguson
4 papers receiving 189 citations
Gavin Ferguson's Hit Papers
Peers
Comparison fields: 5 of 65
- Aging 43
- Biochemistry 35
- Biological Psychiatry 5
- Endocrine and Autonomic Systems 11
- Molecular Biology 93
Countries citing papers authored by Gavin Ferguson
This map shows the geographic impact of Gavin Ferguson'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 Gavin Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Ferguson more than expected).
Fields of papers citing papers by Gavin Ferguson
This network shows the impact of papers produced by Gavin Ferguson. 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 Gavin Ferguson. The network helps show where Gavin Ferguson may publish in the future.
Co-authors
The 15 scholars most cited alongside Gavin Ferguson, 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 | 2019 | 93 | |
| 2 | 2016 | 65 | |
| 3 | GPCR drug discovery: new agents, targets and indications Hit paper breakdown → | 2025 | 31 |
| 4 | 2025 | 1 |
About Gavin Ferguson
Gavin Ferguson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Aging, having authored 4 papers that have together received 190 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Mass Spectrometry Techniques and Applications (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Neuropeptides and Animal Physiology (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Redox biology and oxidative stress (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Aging (43 citations), Biochemistry (35 citations), Biological Psychiatry (5 citations), Endocrine and Autonomic Systems (11 citations) and Molecular Biology (93 citations). Gavin Ferguson has collaborated with scholars based in Australia, France and United Kingdom. Frequent co-authors include Wallace Bridge, Helgi B. Schiöth, José A. Lorente, Alexander S. Hauser, David E. Gloriam, Cyril Goudet, Joan Font, Aurélien Fouillen, Stéphanie Balor and Fanny Malhaire. Their work appears in journals such as Archives of Biochemistry and Biophysics, Redox Biology, Nature Communications and Nature Reviews Drug Discovery.
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.