T M Hayes

2.6k citations
59 papers · 1.9k indexed · h-index 26
Topics
Innovations in Medical Education (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Diabetes Management and Research (8 papers)

In The Last Decade

T M Hayes

58 papers receiving 1.8k citations

Peers

T M Hayes
Comparison fields: 5 of 141
  • Endocrinology, Diabetes and Metabolism 850
  • Surgery 406
  • Public Health, Environmental and Occupational Health 284
  • Genetics 256
  • Epidemiology 251
Replace James P. Boyle with:
James P. Boyle United States
Bong‐Yun Cha South Korea
Ole Hejlesen Denmark
Ho‐Young Son South Korea
Jiapu Ge China
Janice C. Zgibor United States
Xiaohui Guo China
Giuseppe d’Annunzio Italy
Guido Giani Germany
João Filipe Raposo Portugal
T M Hayes relative to James P. Boyle United States James P. Boyle's profile →
Citations per field
00.5×1.5×
James P. Boyle · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 6
2
Nursing Empowered Leaders: A Study Describing Who We Are and Who We Want To Be
3
3 60
4 19
5 19
6 13
7 12
8
Continuing education for general practice and the role of the pharmaceutical industry.
20
9 69
10 25
11 5
12 66
13 49
14 2
15 119
16 131
17 11
18 124
19 63
20 1

About T M Hayes

T M Hayes is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Ophthalmology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diabetes Management and Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (850 citations), Family Practice (50 citations) and Ophthalmology (139 citations). T M Hayes has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Robert E. J. Ryder, David R. Owens, J T Harries, Ian Baker, P M Sweetnam, Stephen D. Luzio, J. W. G. Yarnell, C. Bolton, D Bainton and N.E. Miller. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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