Michael D. Joy

1.1k citations
30 papers · 900 · h-index 14

Impact in

Papers in

Michael D. Joy

30 papers receiving 751 citations

Peers

Michael D. Joy
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 594
  • Endocrine and Autonomic Systems 75
  • Complementary and alternative medicine 47
  • Pathology and Forensic Medicine 65
  • Surgery 126
Replace Robert M. Daugherty with:
Robert M. Daugherty United States
David L. Wiegman United States
Joaquín Fernández-Solá Spain
Angela Girelli Italy
Inge H. H. T. Klein Netherlands
Delon Wu Taiwan
Jordan M. Thompson United States
Herbert J. Bartelstone United States
H Vallin Sweden
John J. Reilly United States
Michael D. Joy relative to Robert M. Daugherty United States Robert M. Daugherty's profile →
Citations per field
00.5×2×3×4.3×
Robert M. Daugherty · 1×
Citations per year

Countries citing papers authored by Michael D. Joy

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Joy. 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 Michael D. Joy. The network helps show where Michael D. Joy may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. Joy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Joy Line = papers co-authored together Michael D. Joy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970189
2 1986136
3 199472
4 199769
5 197058
6 199457
7 197151
8 198237
9 197135
10 198830
11 200126
12 198121
13 198721
14 199119
15 199113
16 197112
17 198710
18 19707
19 19825
20 19855

About Michael D. Joy

Michael D. Joy is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Radiology, Nuclear Medicine and Imaging, Surgery and General Health Professions, having authored 30 papers that have together received 900 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Heart Rate Variability and Autonomic Control (4 papers), Heart rate and cardiovascular health (4 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (4 papers), Cardiovascular and exercise physiology (3 papers), Health Services Management and Policy (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (594 citations), Endocrine and Autonomic Systems (75 citations), Complementary and alternative medicine (47 citations), Pathology and Forensic Medicine (65 citations) and Surgery (126 citations). Michael D. Joy has collaborated with scholars based in United Kingdom. Frequent co-authors include Robert Lowe, Michael S. Marber, John R Hampton, Derek M. Yellon, Kelley P. Anderson, Elizabeth F. Jones, Alasdair D. Malcolm, D C Banks, C J Burns‐Cox and John S Birkhead. Their work appears in journals such as Heart, The Lancet, International Journal of Cardiology, The American Journal of Cardiology and Nature.

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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