James R. Hickman

576 total citations
19 papers, 454 citations indexed

About

James R. Hickman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, James R. Hickman has authored 19 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in James R. Hickman's work include Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiac Arrhythmias and Treatments (3 papers). James R. Hickman is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiac Arrhythmias and Treatments (3 papers). James R. Hickman collaborates with scholars based in United States and United Kingdom. James R. Hickman's co-authors include Gregory S. Uhl, Robert S. Schwartz, Peter J. Engel, Joseph Fischer, Raymond G. Troxler, W.G. Jackson, John C. Patterson, Thomas L. Haney, John C. Barefoot and Redford B. Williams and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

James R. Hickman

19 papers receiving 415 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James R. Hickman United States 10 262 209 80 70 36 19 454
Neufeld Hn Israel 10 148 0.6× 39 0.2× 87 1.1× 81 1.2× 9 0.3× 45 465
Barry T. Hackshaw United States 10 260 1.0× 34 0.2× 128 1.6× 34 0.5× 10 0.3× 14 426
A. Weiss Israel 13 285 1.1× 85 0.4× 158 2.0× 17 0.2× 51 1.4× 41 491
Norman M. Keith United States 6 233 0.9× 220 1.1× 54 0.7× 63 0.9× 8 0.2× 9 549
S Cuomo Italy 11 416 1.6× 95 0.5× 73 0.9× 52 0.7× 7 0.2× 31 514
Paola Valsania United States 10 110 0.4× 60 0.3× 113 1.4× 265 3.8× 15 0.4× 11 499
P. Toutouzas Greece 11 283 1.1× 49 0.2× 71 0.9× 33 0.5× 8 0.2× 36 406
R. N. Pierson United States 11 34 0.1× 34 0.2× 78 1.0× 20 0.3× 30 0.8× 25 491
Daria Frestad Denmark 12 401 1.5× 305 1.5× 154 1.9× 32 0.5× 24 0.7× 19 568
Eli V. Gelfand United States 11 454 1.7× 188 0.9× 154 1.9× 56 0.8× 10 0.3× 33 680

Countries citing papers authored by James R. Hickman

Since Specialization
Citations

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

Fields of papers citing papers by James R. Hickman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Hickman. 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 James R. Hickman. The network helps show where James R. Hickman may publish in the future.

Co-authorship network of co-authors of James R. Hickman

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Hickman. A scholar is included among the top collaborators of James R. Hickman 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 James R. Hickman. James R. Hickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hickman, James R.. (2009). Does higher usage of low-cost statins correlate with a poorer achievement in cholesterol quality markers for secondary prevention?. British Journal of General Practice. 60(570). 50–52. 3 indexed citations
2.
Barefoot, John C., et al.. (1994). Hostility in asymptomatic men with angiogaphically confirmed coronary artery disease. The American Journal of Cardiology. 74(5). 439–442. 44 indexed citations
3.
Schwartz, Robert S., et al.. (1993). Accuracy of exercise 201Tl myocardial scintigraphy in asymptomatic young men.. Circulation. 87(1). 165–172. 40 indexed citations
4.
Schwartz, Robert S., et al.. (1992). Fluoroscopic coronary artery calcification and associated coronary disease in asymptomatic young men. Journal of the American College of Cardiology. 19(6). 1167–1172. 96 indexed citations
5.
Whinnery, James E., et al.. (1990). High +Gz centrifuge training: the electrocardiographic response to +Gz-induced loss of consciousness.. PubMed. 61(7). 609–14. 1 indexed citations
6.
Kruyer, William B., et al.. (1989). Ventricular ectopy in totally symptom-free subjects with defined coronary artery anatomy. American Heart Journal. 117(6). 1265–1277. 1 indexed citations
7.
Whinnery, James E. & James R. Hickman. (1988). Acceleration tolerance of asymptomatic aircrew with mitral valve prolapse and significant +Gz-induced ventricular dysrhythmias.. PubMed. 59(8). 711–7. 1 indexed citations
8.
Uhl, Gregory S., et al.. (1984). Discriminant value of clinical and exercise variables in detecting significant coronary artery disease in asymptomatic men. Journal of the American College of Cardiology. 3(4). 887–894. 24 indexed citations
9.
Uhl, Gregory S., et al.. (1984). Limitation of exercise-induced R wave amplitude changes in detecting coronary artery disease in asymptomatic men. Journal of the American College of Cardiology. 3(3). 821–826. 38 indexed citations
10.
Engel, Peter J., James R. Hickman, & Michael J. Cowley. (1984). Angiographic diagnosis of posterior mitral valve leaflet prolapse. Journal of the American College of Cardiology. 3(4). 1085–1091. 4 indexed citations
11.
Zumoff, Barnett, Raymond G. Troxler, Jacqueline M. O’Connor, et al.. (1982). Abnormal hormone levels in men with coronary artery disease.. Arteriosclerosis An Official Journal of the American Heart Association Inc. 2(1). 58–67. 62 indexed citations
12.
Uhl, Gregory S., et al.. (1981). Computer-enhanced thallium scintigrams in asymptomatic men with abnormal exercise tests. The American Journal of Cardiology. 48(6). 1037–1043. 41 indexed citations
13.
Uhl, Gregory S., et al.. (1981). Relation between high density lipoprotein cholesterol and coronary artery disease in asymptomatic men. The American Journal of Cardiology. 48(5). 903–910. 27 indexed citations
14.
Uhl, Gregory S., et al.. (1980). Angiographic correlation of coronary artery disease with high density lipoprotein cholesterol in asymptomatic men. The American Journal of Cardiology. 45(2). 447–447. 1 indexed citations
15.
Hickman, James R., et al.. (1980). A natural history study of asymptomatic coronary disease. The American Journal of Cardiology. 45(2). 422–422. 43 indexed citations
16.
Uhl, Gregory S., et al.. (1980). Multiple gated acquisition thallium scintigrams with computer enhancement: Improved sensitivity in asymptomatic men with abnormal treadmill tests. The American Journal of Cardiology. 45(2). 463–463. 4 indexed citations
17.
Engel, Peter J., Barry L. Alpert, & James R. Hickman. (1979). The nature and prevalence of the abnormal exercise electrocardiogram in mitral valve prolapse. American Heart Journal. 98(6). 716–724. 19 indexed citations
18.
Krippner, Stanley, James R. Hickman, Nanette C. Auerhahn, & Robert Harris. (1972). Clairvoyant Perception of Target Material in Three States of Consciousness. Perceptual and Motor Skills. 35(2). 439–446. 2 indexed citations
19.
Hogan, Austin W. & James R. Hickman. (1965). Small ion concentrations in and near clouds and fogs. Pure and Applied Geophysics. 60(1). 176–182. 3 indexed citations

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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