Graham Bayly

55 total papers · 647 total citations
20 papers, 190 citations indexed

About

Graham Bayly is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Graham Bayly has authored 20 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Economics and Econometrics. Recurrent topics in Graham Bayly's work include Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Graham Bayly is often cited by papers focused on Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Graham Bayly collaborates with scholars based in United Kingdom and Russia. Graham Bayly's co-authors include Colin Dayan, Ponnusamy Saravanan, Julian Hamilton‐Shield, William A. Bartlett, Aidan Searle, Fiona E. Lithander, A.F. Jones, Frances L. Game, Elaine Wainwright and Alyson Huntley and has published in prestigious journals such as The Lancet, Atherosclerosis and BMJ Open.

In The Last Decade

Graham Bayly

18 papers receiving 183 citations

Author Peers

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

Author						Papers	Cites
Graham Bayly	102	87	45	39	25	20	190
Matej Mlinarič	118 1.2×	45 0.5×	45 1.0×	20 0.5×	23 0.9×	24	183
Seyed Hamed Hosseini Dehkordi	165 1.6×	58 0.7×	107 2.4×	29 0.7×	13 0.5×	18	263
Muhammad Qamar Masood	79 0.8×	68 0.8×	27 0.6×	23 0.6×	16 0.6×	29	193
Alberto Mello e Silva	102 1.0×	39 0.4×	58 1.3×	58 1.5×	22 0.9×	15	196
Krzysztof Chlebus	59 0.6×	36 0.4×	123 2.7×	50 1.3×	18 0.7×	20	233
Maria Helane Costa Gurgel Castelo	60 0.6×	60 0.7×	29 0.6×	10 0.3×	9 0.4×	18	141
Elise Lim	122 1.2×	94 1.1×	43 1.0×	7 0.2×	14 0.6×	16	248
Vincent A. Pallazola	65 0.6×	64 0.7×	71 1.6×	9 0.2×	76 3.0×	18	225
M. Doortje Reijman	116 1.1×	30 0.3×	43 1.0×	16 0.4×	11 0.4×	16	140
Shivang Desai	97 1.0×	91 1.0×	82 1.8×	10 0.3×	18 0.7×	21	234

Countries citing papers authored by Graham Bayly

Since Specialization

Citations

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

Fields of papers citing papers by Graham Bayly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Bayly

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