Donald A. Underwood

1.9k total citations
29 papers, 1.3k citations indexed

About

Donald A. Underwood is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Donald A. Underwood has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surgery. Recurrent topics in Donald A. Underwood's work include Cardiac Imaging and Diagnostics (17 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Acute Myocardial Infarction Research (6 papers). Donald A. Underwood is often cited by papers focused on Cardiac Imaging and Diagnostics (17 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Acute Myocardial Infarction Research (6 papers). Donald A. Underwood collaborates with scholars based in United States, Canada and Belgium. Donald A. Underwood's co-authors include Elena B. Sgarbossa, Kathy Gates, Sergio L. Pinski, Alejandro Barbagelata, Eric J. Topol, Galen S. Wagner, Robert M. Califf, Thomas H. Marwick, Raymundo T. Go and Ernesto E. Salcedo and has published in prestigious journals such as New England Journal of Medicine, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Donald A. Underwood

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donald A. Underwood United States	17	1.1k	590	290	107	74	29	1.3k
Yedael Har‐Zahav Israel	15	476 0.4×	259 0.4×	305 1.1×	56 0.5×	60 0.8×	32	666
Adam K McDiarmid United Kingdom	18	850 0.8×	609 1.0×	260 0.9×	92 0.9×	112 1.5×	73	1.1k
William A. Baxley United States	23	1.6k 1.5×	797 1.4×	898 3.1×	335 3.1×	196 2.6×	43	2.0k
Eduardo Pinar Spain	20	1.3k 1.2×	367 0.6×	1.1k 3.8×	282 2.6×	66 0.9×	86	1.6k
Wael AlJaroudi United States	21	1.1k 1.0×	746 1.3×	189 0.7×	76 0.7×	117 1.6×	106	1.4k
Britta Weidtmann Germany	8	564 0.5×	185 0.3×	188 0.6×	56 0.5×	18 0.2×	12	740
Amar D. Patel United States	10	293 0.3×	176 0.3×	336 1.2×	105 1.0×	65 0.9×	21	646
Robert S.D. Higgins United States	13	657 0.6×	182 0.3×	612 2.1×	141 1.3×	126 1.7×	22	933
Ken Goodman United States	7	574 0.5×	872 1.5×	412 1.4×	223 2.1×	269 3.6×	12	1.3k
Mariano Valdés‐Chávarri Spain	14	576 0.5×	100 0.2×	364 1.3×	76 0.7×	45 0.6×	55	685

Countries citing papers authored by Donald A. Underwood

Since Specialization

Citations

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

Fields of papers citing papers by Donald A. Underwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald A. Underwood. 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 Donald A. Underwood. The network helps show where Donald A. Underwood may publish in the future.

Co-authorship network of co-authors of Donald A. Underwood

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

All Works

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20 of 20 papers shown

Aurón, Moisés & Donald A. Underwood. (2011). Presumed premature ventricular contractions. Cleveland Clinic Journal of Medicine. 78(12). 812–814. 2 indexed citations

Underwood, Donald A., et al.. (2010). Left ventricular hypertrophy: An overlooked cardiovascular risk factor. Cleveland Clinic Journal of Medicine. 77(6). 381–387. 60 indexed citations

Yang, Hua, Min Pu, Donald A. Underwood, et al.. (2004). Ischemic and viable myocardium in patients with Non–Q-Wave or Q-Wave myocardial infarction and left ventricular dysfunction. Journal of the American College of Cardiology. 43(4). 592–598. 32 indexed citations

Dhala, Anwer, Donald A. Underwood, Robert B. Leman, et al.. (2002). Signal‐Averaged P‐Wave Analysis of Normal Controls and Patients with Paroxysmal Atrial Fibrillation: A Study in Gender Differences, Age Dependence, and Reproducibility. Clinical Cardiology. 25(11). 525–531. 36 indexed citations

Anderson, Stanley T., Olle Pahlm, Ljuba Bachárová, et al.. (2001). Standards for the function of an academic 12-lead electrocardiographic core laboratory. Journal of Electrocardiology. 34(1). 41–47. 6 indexed citations

Sgarbossa, Elena B., Sergio L. Pinski, Eric J. Topol, et al.. (1998). Acute Myocardial Infarction and Complete Bundle Branch Block at Hospital Admission: Clinical Characteristics and Outcome in the Thrombolytic Era fn1fn1This study was supported by grants from Bayer Corporation, New York, New York; Genentech, Inc., South San Francisco, California; CIBA-Corning, Medford, Massachusetts; ICI Pharmaceuticals, Wilmington, Delaware; and Sanofi Pharmaceuticals, Paris, France.. Journal of the American College of Cardiology. 31(1). 105–110. 103 indexed citations

Go, Raymundo T., Sebastian A. Cook, Donald R. Neumann, et al.. (1996). The incidence of scintigraphically viable and nonviable tissue by rubidium-82 and fluorine-18-fluorodeoxyglucose positron emission tomographic imaging in patients with prior infarction and left ventricular dysfunction. Journal of Nuclear Cardiology. 3(2). 96–104. 28 indexed citations

Sgarbossa, Elena B., Sergio L. Pinski, Alejandro Barbagelata, et al.. (1996). Electrocardiographic Diagnosis of Evolving Acute Myocardial Infarction in the Presence of Left Bundle-Branch Block. New England Journal of Medicine. 334(8). 481–487. 400 indexed citations

Timmermans, Carl, Hugo Ector, Stephen C. Hammill, et al.. (1994). Signal‐Averaged ECG Parameters in Cardiac Normals Using Frank Lead System and Fourier Transform Filter and Gender Specific Differences: A Multicenter Study. Pacing and Clinical Electrophysiology. 17(3). 303–311. 25 indexed citations

10.

Hammill, Stephen C., Patrick Tchou, Michael G. Kienzle, et al.. (1992). Establishment of signal-averaged electrocardiographic criteria with Frank XYZ leads and spectral filter used alone and in combination with ejection fraction to predict inducible ventricular tachycardia in coronary artery disease. The American Journal of Cardiology. 70(3). 316–320. 25 indexed citations

11.

Marwick, Thomas H., Antoine Lafont, Raymundo T. Go, et al.. (1992). Identification of recurrent ischemia after coronary artery bypass surgery: a comparison of positron emission tomography and single photon emission computed tomography. International Journal of Cardiology. 35(1). 33–41. 10 indexed citations

12.

Marwick, Thomas H., et al.. (1991). Diagnostic accuracy of the resting electrocardiogram in detection and estimation of left atrial enlargement: An echocardiographic correlation in 551 patients. American Heart Journal. 122(3). 823–828. 67 indexed citations

13.

Tuzcu, E.Murat, et al.. (1990). Incidence and prognostic significance of intraventricular conduction abnormalities after coronary bypass surgery. Journal of the American College of Cardiology. 16(3). 607–610. 32 indexed citations

14.

Go, Raymundo T., William J. MacIntyre, Thomas H. Marwick, et al.. (1990). Comparative sensitivity and specificity of Rb-82 pet and Ti-201 spect imagine in the diagnosis of coronary artery disease. Journal of the American College of Cardiology. 15(2). A220–A220. 4 indexed citations

15.

Marwick, Thomas H., Donald Steinmuller, Donald A. Underwood, et al.. (1990). INEFFECTIVENESS OF DIPYRIDAMOLE SPECT THALLIUM IMAGING AS A SCREENING TECHNIQUE FOR CORONARY ARTERY DISEASE IN PATIENTS WITH END-STAGE RENAL FAILURE. Transplantation. 49(1). 100–102. 140 indexed citations

16.

Robalino, Benjamin D., Patrick L. Whitlow, Donald A. Underwood, & Ernesto E. Salcedo. (1989). Electrocardiographic manifestations of right ventricular infarction. American Heart Journal. 118(1). 138–144. 86 indexed citations

17.

Raymond, Russell, et al.. (1988). Myocardial infarction and normal coronary arteriography: A 10 year clinical and risk analysis of 74 patients. Journal of the American College of Cardiology. 11(3). 471–477. 91 indexed citations

18.

Detrano, Robert, William J. MacIntyre, Ernesto E. Salcedo, et al.. (1985). Videodensitometric ejection fraction from intravenous digital subtraction right ventriculograms: Correlation with first pass radionuclide ejection fraction. Journal of the American College of Cardiology. 5(6). 1377–1381. 10 indexed citations

19.

Yiannikas, John, William J. MacIntyre, Donald A. Underwood, et al.. (1985). Prediction of improvement in left ventricular function after ventricular aneurysmectomy using fourier phase and amplitude analysis of radionuclide cardiac blood pool scans. The American Journal of Cardiology. 55(11). 1308–1312. 19 indexed citations

20.

Becker, Richard C., Jay S. Loeffler, Kenneth A. Leopold, & Donald A. Underwood. (1985). Primary tumors of the heart: A review with emphasis on diagnosis and potential treatment modalities. Seminars in Surgical Oncology. 1(4). 161–170. 13 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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