Gareth G. Lavery
- Endocrinology, Diabetes and Metabolism top 0.2%
- Molecular Biology top 5%
- Physiology top 2%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Paul M. StewartJeremy TomlinsonElizabeth A. WalkerMark S. CooperIwona BujalskaMartin HewisonNicole L. DraperStuart Morgan
- Topics
- Hormonal Regulation and Hypertension (65 papers)Adrenal Hormones and Disorders (31 papers)Adipose Tissue and Metabolism (17 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Gareth G. Lavery
120 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 2.9k
- Molecular Biology 1.4k
- Physiology 957
- Surgery 698
- Epidemiology 515
Countries citing papers authored by Gareth G. Lavery
This map shows the geographic impact of Gareth G. Lavery'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 Gareth G. Lavery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth G. Lavery more than expected).
Fields of papers citing papers by Gareth G. Lavery
This network shows the impact of papers produced by Gareth G. Lavery. 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 Gareth G. Lavery. The network helps show where Gareth G. Lavery may publish in the future.
Co-authorship network of co-authors of Gareth G. Lavery
This figure shows the co-authorship network connecting the top 25 collaborators of Gareth G. Lavery. A scholar is included among the top collaborators of Gareth G. Lavery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth G. Lavery. Gareth G. Lavery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 36 | |
| 4 | 50 | |
| 5 | 21 | |
| 6 | 28 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 39 | |
| 10 | 20 | |
| 11 | 30 | |
| 12 | 37 | |
| 13 | 34 | |
| 14 | 99 | |
| 15 | 90 | |
| 16 | 70 | |
| 17 | 249 | |
| 18 | 6 | |
| 19 | 11 beta-HSD1 Is the Major Regulator of the Tissue-Specific Effects of Circulating Glucocorticoid Excess | 6 |
| 20 | 40 |
About Gareth G. Lavery
Gareth G. Lavery is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and Pharmacology, having authored 122 papers that have together received 5.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (65 papers), Adrenal Hormones and Disorders (31 papers) and Adipose Tissue and Metabolism (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Behavioral Neuroscience (430 citations) and Geriatrics and Gerontology (401 citations). Gareth G. Lavery has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul M. Stewart, Jeremy Tomlinson, Elizabeth A. Walker, Mark S. Cooper, Iwona Bujalska, Martin Hewison, Nicole L. Draper, Stuart Morgan, Wiebke Arlt and Cedric Shackleton. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.