J.B. Foley

1.3k citations
41 papers · 853 · h-index 15

Impact in

Papers in

J.B. Foley

40 papers receiving 809 citations

Peers

J.B. Foley
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 186
  • Cardiology and Cardiovascular Medicine 230
  • Internal Medicine 23
  • Immunology and Allergy 37
  • Surgery 251
Replace Qiang She with:
Qiang She China
Xiaofang Tang China
Jean Louis Mégnien France
Matthew Butler United Kingdom
Anna Margrethe Thøgersen Denmark
Kazuhiko Hashimura Japan
So‐Yeon Choi South Korea
R C Pasternak United States
Rubén Leta Spain
Daniel R. Obaid United Kingdom
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Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by J.B. Foley

Since Specialization
Citations

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

Fields of papers citing papers by J.B. Foley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.B. Foley. 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 J.B. Foley. The network helps show where J.B. Foley may publish in the future.

Co-authors

The 25 scholars most cited alongside J.B. Foley, 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 J.B. Foley Line = papers co-authored together J.B. Foley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007187
2 200098
3 199476
4 200074
5 200141
6 199937
7 200432
8 199426
9 198825
10 195424
11 200121
12 200521
13 200319
14 200118
15 200014
16 195414
17 199912
18 199511
19 200111
20 200311

About J.B. Foley

J.B. Foley is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Signal Processing, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 853 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (10 papers), Advanced Adaptive Filtering Techniques (6 papers), Cardiac Imaging and Diagnostics (5 papers), Acute Myocardial Infarction Research (5 papers), Speech and Audio Processing (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (186 citations), Cardiology and Cardiovascular Medicine (230 citations), Internal Medicine (23 citations), Immunology and Allergy (37 citations) and Surgery (251 citations). J.B. Foley has collaborated with scholars based in Ireland, Canada and United States. Frequent co-authors include Peter Crean, Ross T. Murphy, S. Dejager, Anja Schweizer, Niall Mulvihill, Robert I. Brown, Ian M. Penn, Michael J. Walsh, Nitin Ghaisas and Norman F. Boas. Their work appears in journals such as The American Journal of Cardiology, Experimental Biology and Medicine, International Journal of Cardiology, American Heart Journal and Journal of the American College of Cardiology.

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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