Leigh Pascoe

3.3k citations
42 papers · 2.7k · h-index 24

Impact in

Papers in

Leigh Pascoe

42 papers receiving 2.5k citations

Peers

Leigh Pascoe
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Cardiology and Cardiovascular Medicine 367
  • Genetics 341
  • Molecular Biology 554
  • Pharmacology 51
Replace GILBERT SCHAISON with:
GILBERT SCHAISON France
Graeme R. Frank United States
Florin Grigorescu France
Timothy C. Williams United States
Laura Audı́ Spain
Yucheng Jia United States
Jared A. Drake United States
Claude M. Laberge Canada
Ray V. Haning United States
Mikael Brönnegård Sweden
Leigh Pascoe relative to GILBERT SCHAISON France GILBERT SCHAISON's profile →
Citations per field
00.5×2×4×6×8×9.9×
GILBERT SCHAISON · 1×
Citations per year

Countries citing papers authored by Leigh Pascoe

Since Specialization
Citations

This map shows the geographic impact of Leigh Pascoe'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 Leigh Pascoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leigh Pascoe more than expected).

Fields of papers citing papers by Leigh Pascoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leigh Pascoe. 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 Leigh Pascoe. The network helps show where Leigh Pascoe may publish in the future.

Co-authors

The 25 scholars most cited alongside Leigh Pascoe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leigh Pascoe Line = papers co-authored together Leigh Pascoe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991299
2 1994239
3 1992221
4 1998204
5 1993180
6 1992158
7 1995114
8 1987112
9 2016105
10 2004103
11 198992
12 199283
13 199783
14 199883
15 199874
16 200971
17 200067
18 199559
19 199848
20 199946

About Leigh Pascoe

Leigh Pascoe is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (24 papers), Genetic Associations and Epidemiology (6 papers), Inflammatory Bowel Disease (6 papers), Adrenal Hormones and Disorders (4 papers), Sexual Differentiation and Disorders (3 papers), Renin-Angiotensin System Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cardiology and Cardiovascular Medicine (367 citations), Genetics (341 citations), Molecular Biology (554 citations) and Pharmacology (51 citations). Leigh Pascoe has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Kathleen M. Curnow, Perrin C. White, Liliya Slutsker, Pierre L. Corvol, Paolo Mulatero, Phyllis Speiser, Xavier Jeunemaı̂tre, Rama D Natarajan, Jiali Gu and Jerry L. Nadler. Their work appears in journals such as Molecular Endocrinology, Journal of Hypertension, The Journal of Clinical Endocrinology & Metabolism, Hypertension and Proceedings of the National Academy of Sciences.

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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