Jon G. Keevil

1.6k citations
25 papers · 1.2k · h-index 14

Impact in

Papers in

Jon G. Keevil

25 papers receiving 1.2k citations

Peers

Jon G. Keevil
Comparison fields: 5 of 103
  • Biochemistry 473
  • Cardiology and Cardiovascular Medicine 325
  • Geriatrics and Gerontology 43
  • Nutrition and Dietetics 149
  • Endocrinology, Diabetes and Metabolism 156
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Avishay Elis Israel
Giacomo Levantesi Italy
Susan E. Aeschlimann United States
Francesca Pluchinotta Italy
Shari Wang United States
Maud N. Vissers Netherlands
Boudewijn Klop Netherlands
Ellen McMonagle United States
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Citations per year

Countries citing papers authored by Jon G. Keevil

Since Specialization
Citations

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

Fields of papers citing papers by Jon G. Keevil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon G. Keevil. 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 Jon G. Keevil. The network helps show where Jon G. Keevil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999445
2 2000216
3 2001101
4 201271
5 200667
6 200762
7 200554
8 201531
9 200327
10 201921
11 201319
12 201618
13 201116
14
Is the ankle-brachial index a useful screening test for subclinical atherosclerosis in asymptomatic, middle-aged adults?
200613
15 201212
16 201312
17 201212
18
Transient left ventricular apical ballooning: a review of the literature.
200611
19 200810
20 20149

About Jon G. Keevil

Jon G. Keevil is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Blood Pressure and Hypertension Studies (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Healthcare Systems and Technology (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Biochemistry (473 citations), Cardiology and Cardiovascular Medicine (325 citations), Geriatrics and Gerontology (43 citations), Nutrition and Dietetics (149 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Jon G. Keevil has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include John D. Folts, James H. Stein, Susan E. Aeschlimann, Donald A. Wiebe, Hashim Osman, Jess D. Reed, Patrick E. McBride, Ronald E. Gangnon, Claudia E. Korcarz and Rachael A. Wyman. Their work appears in journals such as Circulation, American Heart Journal, The American Journal of Cardiology, PLoS ONE and Telemedicine Journal and e-Health.

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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