P. C. Reavey

19 total papers · 665 total citations
16 papers, 515 citations indexed

About

P. C. Reavey is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, P. C. Reavey has authored 16 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in P. C. Reavey's work include Diet and metabolism studies (2 papers), Digestive system and related health (2 papers) and Metabolism and Genetic Disorders (2 papers). P. C. Reavey is often cited by papers focused on Diet and metabolism studies (2 papers), Digestive system and related health (2 papers) and Metabolism and Genetic Disorders (2 papers). P. C. Reavey collaborates with scholars based in Kuwait, United Kingdom and United States. P. C. Reavey's co-authors include W. J. Tilstone, Darleen A. Sandoval, Anna S. Gukovskaya, P. Braquet, David Henry, David H. Lawson, M. M. Lubani, Q. A. Al-Saleh, D. C. Sharda and Mohamed Moussa and has published in prestigious journals such as The Lancet, Gastroenterology and Annals of the Rheumatic Diseases.

In The Last Decade

P. C. Reavey

16 papers receiving 479 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. C. Reavey	185	104	99	92	70	16	515
Lukas Haragsim	104 0.6×	166 1.6×	60 0.6×	72 0.8×	62 0.9×	19	538
Tatiane C. Izidoro‐Toledo	56 0.3×	98 0.9×	61 0.6×	45 0.5×	49 0.7×	22	561
Susan Loftus	214 1.2×	89 0.9×	44 0.4×	147 1.6×	61 0.9×	10	579
Amos Lanir	78 0.4×	96 0.9×	100 1.0×	31 0.3×	65 0.9×	19	541
E. Abisch	108 0.6×	75 0.7×	148 1.5×	85 0.9×	23 0.3×	13	525
Kyung Ohk Ahn	120 0.6×	181 1.7×	45 0.5×	22 0.2×	38 0.5×	14	555
H.-G. Eichler	125 0.7×	127 1.2×	36 0.4×	68 0.7×	17 0.2×	19	566
Laura Wang	99 0.5×	93 0.9×	34 0.3×	28 0.3×	35 0.5×	13	585
Guillermo Tate	110 0.6×	116 1.1×	58 0.6×	38 0.4×	90 1.3×	17	536
B Walton	171 0.9×	43 0.4×	87 0.9×	27 0.3×	30 0.4×	27	547

Countries citing papers authored by P. C. Reavey

Since Specialization

Citations

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

Fields of papers citing papers by P. C. Reavey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. C. Reavey. 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 P. C. Reavey. The network helps show where P. C. Reavey may publish in the future.

Co-authorship network of co-authors of P. C. Reavey

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

All Works

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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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