John K. Forrest

9.0k citations
78 papers · 1.4k · h-index 22

Impact in

Papers in

John K. Forrest

73 papers receiving 1.4k citations

Peers

John K. Forrest
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 1.1k
  • Epidemiology 459
  • Pulmonary and Respiratory Medicine 330
  • Health Informatics 12
  • Surgery 203
Replace Vaikom S. Mahadevan with:
Vaikom S. Mahadevan United States
Bahar Pirat Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by John K. Forrest

Since Specialization
Citations

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

Fields of papers citing papers by John K. Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Forrest. 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 John K. Forrest. The network helps show where John K. Forrest may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 2020100
3 200179
4 202173
5 202072
6 202368
7 202061
8 201660
9 202056
10 202350
11 201549
12 202140
13 201536
14 201536
15 201836
16 201635
17 202234
18 201632
19 201529
20 201629

About John K. Forrest

John K. Forrest is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Artificial Intelligence, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (60 papers), Infective Endocarditis Diagnosis and Management (13 papers), Aortic Disease and Treatment Approaches (11 papers), Cardiac pacing and defibrillation studies (4 papers), Coronary Interventions and Diagnostics (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Mechanical Circulatory Support Devices (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Epidemiology (459 citations), Pulmonary and Respiratory Medicine (330 citations), Health Informatics (12 citations) and Surgery (203 citations). John K. Forrest has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Michael J. Reardon, Steven J. Yakubov, Jeffrey J. Popma, Tamim Nazif, Abeel A. Mangi, Ryan Kaple, Basel Ramlawi, Alexandra J. Lansky, Michael Cleman and Neal S. Kleiman. Their work appears in journals such as JACC: Cardiovascular Interventions, Journal of the American College of Cardiology, The American Journal of Cardiology, Catheterization and Cardiovascular Interventions and EuroIntervention.

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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