Heather J. Shenkman

438 total citations
7 papers, 305 citations indexed

About

Heather J. Shenkman is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Emergency Medicine. According to data from OpenAlex, Heather J. Shenkman has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 1 paper in Epidemiology and 1 paper in Emergency Medicine. Recurrent topics in Heather J. Shenkman's work include Heart Failure Treatment and Management (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac pacing and defibrillation studies (3 papers). Heather J. Shenkman is often cited by papers focused on Heart Failure Treatment and Management (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac pacing and defibrillation studies (3 papers). Heather J. Shenkman collaborates with scholars based in United States, Australia and France. Heather J. Shenkman's co-authors include David Nori, Scott Kaatz, John E. McKinnon, Keisha R. Sandberg, Peter A. McCullough, John D. Bisognano, Wojciech Zaręba, Philippe Gabríel Steg, Keith A.A. Fox and Kim A. Eagle and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

Heather J. Shenkman

6 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather J. Shenkman United States	4	279	49	31	22	20	7	305
Ebru Gölcük Türkiye	10	239 0.9×	118 2.4×	31 1.0×	19 0.9×	20 1.0×	32	291
Emiliana Franco United States	9	186 0.7×	55 1.1×	63 2.0×	16 0.7×	31 1.6×	13	216
Usama A. Daimee United States	10	280 1.0×	42 0.9×	43 1.4×	27 1.2×	12 0.6×	39	353
Ravindra Karanam United States	6	121 0.4×	91 1.9×	13 0.4×	25 1.1×	16 0.8×	10	140
Benjamin B. Kenigsberg United States	8	111 0.4×	41 0.8×	22 0.7×	40 1.8×	14 0.7×	24	164
Douglas B. Van Fossen United States	5	88 0.3×	33 0.7×	16 0.5×	17 0.8×	24 1.2×	5	121
X. Marcaggi France	7	100 0.4×	47 1.0×	57 1.8×	26 1.2×	52 2.6×	35	173
Erwan Donal France	5	216 0.8×	50 1.0×	96 3.1×	14 0.6×	16 0.8×	17	240
Kishor Vora United States	6	84 0.3×	103 2.1×	68 2.2×	13 0.6×	35 1.8×	8	155
John P. DiMarco United States	6	385 1.4×	79 1.6×	11 0.4×	23 1.0×	17 0.8×	8	446

Countries citing papers authored by Heather J. Shenkman

Since Specialization

Citations

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

Fields of papers citing papers by Heather J. Shenkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather J. Shenkman

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

All Works

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7 of 7 papers shown

Jolly, Sanjit S., Heather J. Shenkman, David Brieger, et al.. (2010). Quantitative troponin and death, cardiogenic shock, cardiac arrest and new heart failure in patients with non-ST-segment elevation acute coronary syndromes (NSTE ACS): insights from the Global Registry of Acute Coronary Events. Heart. 97(3). 197–202. 62 indexed citations

Zaręba, Karolina M., Heather J. Shenkman, & John D. Bisognano. (2009). Comparison of Acute Electrocardiographic Presentation in Patients With Diastolic vs Systolic Heart Failure. Congestive Heart Failure. 15(4). 165–169. 3 indexed citations

Zaręba, Karolina M., Heather J. Shenkman, & John D. Bisognano. (2008). Predictive Value of Admission Electrocardiography in Patients With Heart Failure. Congestive Heart Failure. 14(4). 173–179. 3 indexed citations

Shenkman, Heather J., Wojciech Zaręba, & John D. Bisognano. (2007). Comparison of Prognostic Significance of Amino-Terminal Pro-Brain Natriuretic Peptide Versus Blood Urea Nitrogen for Predicting Events in Patients Hospitalized for Heart Failure. The American Journal of Cardiology. 99(8). 1143–1145. 31 indexed citations

McCullough, Peter A., Akshay Khandelwal, John E. McKinnon, et al.. (2005). Outcomes and Prognostic Factors of Systolic as Compared With Diastolic Heart Failure in Urban America. Congestive Heart Failure. 11(1). 6–11. 25 indexed citations

McKinnon, John E., Heather J. Shenkman, David Nori, et al.. (2002). Epidemiology of systolic and diastolic dysfunction heart failure in 3,471 urban patients. Journal of the American College of Cardiology. 39. 192–192. 1 indexed citations

Shenkman, Heather J., John E. McKinnon, David Nori, et al.. (2002). Congestive Heart Failure and QRS Duration. CHEST Journal. 122(2). 528–534. 180 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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