T M Hayes

79 total papers · 2.6k total citations
59 papers, 1.9k citations indexed

About

T M Hayes is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, T M Hayes has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Surgery. Recurrent topics in T M Hayes's work include Innovations in Medical Education (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diabetes Management and Research (8 papers). T M Hayes is often cited by papers focused on Innovations in Medical Education (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diabetes Management and Research (8 papers). T M Hayes collaborates with scholars based in United Kingdom, Denmark and United States. T M Hayes's co-authors include Robert E. J. Ryder, David R. Owens, J T Harries, P M Sweetnam, Ian Baker, Stephen D. Luzio, J. W. G. Yarnell, N.E. Miller, C. Bolton and D Bainton and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

T M Hayes

58 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
T M Hayes 849 407 284 256 250 59 1.9k
Kelly M West 801 0.9× 275 0.7× 179 0.6× 148 0.6× 220 0.9× 50 1.8k
K.‐T. Khaw 709 0.8× 339 0.8× 263 0.9× 254 1.0× 320 1.3× 35 2.0k
Harish Ranjani 761 0.9× 250 0.6× 417 1.5× 176 0.7× 257 1.0× 82 2.0k
Laël C. Gatewood 1.0k 1.2× 517 1.3× 244 0.9× 383 1.5× 108 0.4× 60 2.1k
Andrew McGovern 830 1.0× 369 0.9× 174 0.6× 239 0.9× 386 1.5× 83 2.3k
Heikki Oksa 697 0.8× 262 0.6× 351 1.2× 105 0.4× 319 1.3× 65 2.0k
June E. Eichner 612 0.7× 522 1.3× 300 1.1× 241 0.9× 233 0.9× 49 2.1k
Sandra Pinho Silveiro 962 1.1× 514 1.3× 193 0.7× 241 0.9× 300 1.2× 90 3.0k
Carlos Antônio Negrato 849 1.0× 350 0.9× 154 0.5× 335 1.3× 207 0.8× 79 2.1k
Bernard Zinman 879 1.0× 345 0.8× 303 1.1× 129 0.5× 286 1.1× 43 2.0k

Countries citing papers authored by T M Hayes

Since Specialization
Citations

This map shows the geographic impact of T M Hayes'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 T M Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T M Hayes more than expected).

Fields of papers citing papers by T M Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T M Hayes. 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 T M Hayes. The network helps show where T M Hayes may publish in the future.

Co-authorship network of co-authors of T M Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of T M Hayes. A scholar is included among the top collaborators of T M Hayes 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 T M Hayes. T M Hayes 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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