Michelle Beynon

27 total papers · 1.3k total citations
15 papers, 837 citations indexed

About

Michelle Beynon is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, Michelle Beynon has authored 15 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 9 papers in Public Health, Environmental and Occupational Health and 3 papers in Psychiatry and Mental health. Recurrent topics in Michelle Beynon's work include Telemedicine and Telehealth Implementation (9 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Mobile Health and mHealth Applications (3 papers). Michelle Beynon is often cited by papers focused on Telemedicine and Telehealth Implementation (9 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Mobile Health and mHealth Applications (3 papers). Michelle Beynon collaborates with scholars based in United Kingdom, Australia and United States. Michelle Beynon's co-authors include Stanton Newman, Shashivadan P. Hirani, Lorna Rixon, Martin Cartwright, Adam Steventon, Helen Doll, Catherine Henderson, Martín Knapp, Martin Bardsley and Ray Fitzpatrick and has published in prestigious journals such as The Lancet, BMJ and Journal of Psychosomatic Research.

In The Last Decade

Michelle Beynon

15 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
Michelle Beynon	427	271	120	108	100	15	837
Kristie N. Carter	417 1.0×	135 0.5×	216 1.8×	81 0.8×	53 0.5×	23	963
Joseph D. Kubal	266 0.6×	125 0.5×	150 1.3×	53 0.5×	138 1.4×	17	909
Jackline L. Vickerie	225 0.5×	221 0.8×	137 1.1×	75 0.7×	61 0.6×	10	959
Agnes de Bruin	301 0.7×	125 0.5×	154 1.3×	121 1.1×	256 2.6×	16	929
Joan Vermeulen	291 0.7×	120 0.4×	90 0.8×	39 0.4×	45 0.5×	27	928
Kenneth Lam	348 0.8×	397 1.5×	64 0.5×	41 0.4×	56 0.6×	22	870
Michael Lin	554 1.3×	130 0.5×	110 0.9×	37 0.3×	33 0.3×	21	986
Tzy‐Chyi Yu	353 0.8×	111 0.4×	137 1.1×	223 2.1×	63 0.6×	22	841
Stuti Dang	460 1.1×	259 1.0×	137 1.1×	28 0.3×	142 1.4×	55	833
Meijing Wu	331 0.8×	100 0.4×	64 0.5×	191 1.8×	35 0.3×	15	1.0k

Countries citing papers authored by Michelle Beynon

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Beynon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Beynon

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Beynon. A scholar is included among the top collaborators of Michelle Beynon 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 Michelle Beynon. Michelle Beynon 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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