Carol Lenaghan

804 total citations
8 papers, 554 citations indexed

About

Carol Lenaghan is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carol Lenaghan has authored 8 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carol Lenaghan's work include Pancreatic function and diabetes (4 papers), Diabetes Treatment and Management (2 papers) and Receptor Mechanisms and Signaling (2 papers). Carol Lenaghan is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diabetes Treatment and Management (2 papers) and Receptor Mechanisms and Signaling (2 papers). Carol Lenaghan collaborates with scholars based in United Kingdom, Sweden and Japan. Carol Lenaghan's co-authors include David M. Smith, Jaswinder K. Sethi, Katy J. Brocklehurst, Noel G. Morgan, Virginia M. Stone, Shalinee Dhayal, Xiufeng Xu, Maria Sörhede Winzell, Mårten Hammar and Kevin C. Hart and has published in prestigious journals such as Cancer Research, Diabetes and Biochemical Journal.

In The Last Decade

Carol Lenaghan

8 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carol Lenaghan United Kingdom	7	249	222	220	162	71	8	554
Ann-Marie Richard United States	10	254 1.0×	246 1.1×	122 0.6×	169 1.0×	98 1.4×	11	537
Hidenori Katsuta Japan	12	275 1.1×	147 0.7×	132 0.6×	202 1.2×	90 1.3×	18	552
Daniela Tomie Furuya Brazil	13	196 0.8×	144 0.6×	100 0.5×	120 0.7×	87 1.2×	16	476
María-Jesús Latasa Spain	12	399 1.6×	225 1.0×	151 0.7×	179 1.1×	182 2.6×	16	726
Hassan Jijakli Belgium	11	198 0.8×	85 0.4×	189 0.9×	219 1.4×	31 0.4×	42	482
Kenneth R. McGaffin United States	15	244 1.0×	259 1.2×	182 0.8×	140 0.9×	133 1.9×	15	756
Thora Bödvarsdóttir Denmark	14	209 0.8×	94 0.4×	202 0.9×	225 1.4×	38 0.5×	20	532
Asako Minami Japan	10	198 0.8×	201 0.9×	95 0.4×	135 0.8×	42 0.6×	11	524
Yukiko Kanda Japan	12	209 0.8×	125 0.6×	304 1.4×	304 1.9×	116 1.6×	20	611
Girish Kewalramani Canada	15	392 1.6×	208 0.9×	135 0.6×	106 0.7×	115 1.6×	17	732

Countries citing papers authored by Carol Lenaghan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Carol Lenaghan

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Lenaghan. A scholar is included among the top collaborators of Carol Lenaghan 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 Carol Lenaghan. Carol Lenaghan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Lynch, James T., Urszula M. Polanska, Oona Delpuech, et al.. (2018). Combined Inhibition of PI3Kβ and mTOR Inhibits Growth of PTEN-null Tumors. Molecular Cancer Therapeutics. 17(11). 2309–2319. 18 indexed citations

Lynch, James T., Urszula M. Polanska, Oona Delpuech, et al.. (2017). Inhibiting PI3Kβ with AZD8186 Regulates Key Metabolic Pathways in PTEN-Null Tumors. Clinical Cancer Research. 23(24). 7584–7595. 24 indexed citations

Hodge, Daryl, Leslie Glass, Eleftheria Diakogiannaki, et al.. (2015). Lipid derivatives activate GPR119 and trigger GLP-1 secretion in primary murine L-cells. Peptides. 77. 16–20. 83 indexed citations

Stone, Virginia M., Shalinee Dhayal, Katy J. Brocklehurst, et al.. (2014). GPR120 (FFAR4) is preferentially expressed in pancreatic delta cells and regulates somatostatin secretion from murine islets of Langerhans. Diabetologia. 57(6). 1182–1191. 106 indexed citations

Waring, Michael J., Darren A.E. Cross, David Andrews, et al.. (2013). Abstract 2228: Phosphatidylinositol-4-kinase - Potent and selective inhibitors of PI4Kα and PI4Kβ.. Cancer Research. 73(8_Supplement). 2228–2228. 1 indexed citations

Stone, Virginia M., Shalinee Dhayal, David M. Smith, et al.. (2011). The cytoprotective effects of oleoylethanolamide in insulin‐secreting cells do not require activation of GPR119. British Journal of Pharmacology. 165(8). 2758–2770. 21 indexed citations

Morgan, Stuart, Mark Sherlock, Laura Gathercole, et al.. (2009). 11β-Hydroxysteroid Dehydrogenase Type 1 Regulates Glucocorticoid-Induced Insulin Resistance in Skeletal Muscle. Diabetes. 58(11). 2506–2515. 134 indexed citations

Meirhaeghe, Aline, Vivion Crowley, Carol Lenaghan, et al.. (2003). Characterization of the human, mouse and rat PGC1beta (peroxisome-proliferator-activated receptor-gamma co-activator 1beta) gene in vitro and in vivo. Biochemical Journal. 373(1). 155–165. 167 indexed citations

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.

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