Susan J. Benbow

48 total papers · 1.9k total citations
24 papers, 1.4k citations indexed

About

Susan J. Benbow is a scholar working on Physiology, Neurology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Susan J. Benbow has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 12 papers in Neurology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Susan J. Benbow's work include Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Susan J. Benbow is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Susan J. Benbow collaborates with scholars based in United Kingdom, United States and Australia. Susan J. Benbow's co-authors include I. A. MacFarlane, Christina Daousi, Alan Woodward, Peter Bundred, Turo Nurmikko, Solomon Tesfaye, John Miles, David Bowsher, A W Chan and Gareth Williams and has published in prestigious journals such as The Lancet, Diabetes Care and Diabetologia.

In The Last Decade

Susan J. Benbow

23 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Susan J. Benbow	852	597	338	308	286	24	1.4k
Chantal Touboul	959 1.1×	362 0.6×	85 0.3×	499 1.6×	270 0.9×	32	1.5k
Gordon Irving	1.0k 1.2×	511 0.9×	90 0.3×	417 1.4×	336 1.2×	52	1.8k
Michael Tuchman	1.0k 1.2×	540 0.9×	68 0.2×	357 1.2×	253 0.9×	24	1.6k
Donald Iverson	487 0.6×	526 0.9×	67 0.2×	124 0.4×	116 0.4×	17	1.3k
Joanne Muir	853 1.0×	384 0.6×	84 0.2×	330 1.1×	232 0.8×	11	1.4k
P. C. OʼBrien	694 0.8×	745 1.2×	387 1.1×	82 0.3×	36 0.1×	21	1.8k
Carolina Casellini	659 0.8×	428 0.7×	425 1.3×	102 0.3×	35 0.1×	25	1.7k
K. Tai	578 0.7×	352 0.6×	96 0.3×	765 2.5×	194 0.7×	17	1.4k
P. A. Low	610 0.7×	800 1.3×	180 0.5×	80 0.3×	45 0.2×	27	1.7k
Christos Manes	696 0.8×	487 0.8×	655 1.9×	94 0.3×	32 0.1×	15	1.5k

Countries citing papers authored by Susan J. Benbow

Since Specialization

Citations

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

Fields of papers citing papers by Susan J. Benbow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan J. Benbow. 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 Susan J. Benbow. The network helps show where Susan J. Benbow may publish in the future.

Co-authorship network of co-authors of Susan J. Benbow

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Benbow. A scholar is included among the top collaborators of Susan J. Benbow 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 Susan J. Benbow. Susan J. Benbow 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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