Carol Lenaghan
Impact in
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- Diabetes Treatment and Management
- Hormonal Regulation and Hypertension
- Diet, Metabolism, and Disease
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- Peroxisome Proliferator-Activated Receptors 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Diabetes Treatment and Management 2
- Hormonal Regulation and Hypertension 1
- Co-authors
- David M. Smith (4 shared papers)Jaswinder K. Sethi (2 shared papers)Virginia M. Stone (2 shared papers)Shalinee Dhayal (2 shared papers)Katy J. Brocklehurst (2 shared papers)Noel G. Morgan (2 shared papers)Xiufeng Xu (1 shared paper)Maria Sörhede Winzell (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Diabetes (1 paper)Peptides (1 paper)Biochemical Journal (1 paper)British Journal of Pharmacology (1 paper)
- Partner nations
- United KingdomSwedenSingapore
In The Last Decade
Carol Lenaghan
8 papers receiving 546 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 209
- Physiology 191
- Endocrine and Autonomic Systems 36
- Surgery 142
- Geriatrics and Gerontology 11
Countries citing papers authored by Carol Lenaghan
This map shows the geographic impact of Carol Lenaghan'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 Carol Lenaghan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Lenaghan more than expected).
Fields of papers citing papers by Carol Lenaghan
This network shows the impact of papers produced by Carol Lenaghan. 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 Carol Lenaghan. The network helps show where Carol Lenaghan may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol Lenaghan, 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 | 2003 | 167 | |
| 2 | 2009 | 135 | |
| 3 | 2014 | 108 | |
| 4 | 2015 | 84 | |
| 5 | 2017 | 24 | |
| 6 | 2011 | 21 | |
| 7 | 2018 | 18 | |
| 8 | 2013 | 1 |
About Carol Lenaghan
Carol Lenaghan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Physiology, having authored 8 papers that have together received 558 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Diabetes Treatment and Management (2 papers), Hormonal Regulation and Hypertension (1 paper), Cancer, Lipids, and Metabolism (1 paper), Adipose Tissue and Metabolism (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Lipid metabolism and biosynthesis (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (209 citations), Physiology (191 citations), Endocrine and Autonomic Systems (36 citations), Surgery (142 citations) and Geriatrics and Gerontology (11 citations). Carol Lenaghan has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include David M. Smith, Jaswinder K. Sethi, Virginia M. Stone, Shalinee Dhayal, Katy J. Brocklehurst, Noel G. Morgan, Xiufeng Xu, Maria Sörhede Winzell, Mårten Hammar and Martin D. Brand. Their work appears in journals such as Clinical Cancer Research, Diabetes, Peptides, Biochemical Journal and British Journal of Pharmacology.
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.