Lawrence Sherman

1.7k total citations
60 papers, 1.3k citations indexed

About

Lawrence Sherman is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lawrence Sherman has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 28 papers in Emergency Medicine and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lawrence Sherman's work include Cardiac Arrest and Resuscitation (27 papers), Cardiac electrophysiology and arrhythmias (22 papers) and Heart Rate Variability and Autonomic Control (11 papers). Lawrence Sherman is often cited by papers focused on Cardiac Arrest and Resuscitation (27 papers), Cardiac electrophysiology and arrhythmias (22 papers) and Heart Rate Variability and Autonomic Control (11 papers). Lawrence Sherman collaborates with scholars based in United States, Russia and South Korea. Lawrence Sherman's co-authors include James J. Menegazzi, Clifton W. Callaway, Thomas D. Rea, Jason Coult, Eric S. Logue, Fred Benjamin, Peter J. Kudenchuk, Jennifer Blackwood, Heemun Kwok and Karen Elkind‐Hirsch and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Lawrence Sherman

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Sherman United States 22 641 574 232 229 221 60 1.3k
Pier Agostino Gioffrè Italy 24 429 0.7× 1.0k 1.8× 89 0.4× 128 0.6× 629 2.8× 57 2.0k
Bruno Riou France 20 186 0.3× 419 0.7× 77 0.3× 451 2.0× 359 1.6× 47 1.3k
Jarrod D. Knudson United States 21 164 0.3× 683 1.2× 103 0.4× 81 0.4× 303 1.4× 45 1.3k
Bent Nielsen Denmark 13 86 0.1× 387 0.7× 44 0.2× 179 0.8× 134 0.6× 53 1.0k
Bo Løfgren Denmark 24 933 1.5× 366 0.6× 171 0.7× 76 0.3× 289 1.3× 131 1.7k
Steven Burstein United States 16 230 0.4× 704 1.2× 87 0.4× 135 0.6× 302 1.4× 30 1.3k
H S Klopfenstein United States 21 90 0.1× 1.9k 3.4× 106 0.5× 430 1.9× 558 2.5× 52 2.7k
Mia Kattenhorn United Kingdom 8 103 0.2× 668 1.2× 23 0.1× 111 0.5× 144 0.7× 13 1.5k
L Nuutinen Finland 24 139 0.2× 469 0.8× 69 0.3× 54 0.2× 1.1k 5.2× 77 1.7k
Amanda A. Fox United States 24 122 0.2× 601 1.0× 58 0.3× 58 0.3× 340 1.5× 64 1.3k

Countries citing papers authored by Lawrence Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence Sherman. 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 Lawrence Sherman. The network helps show where Lawrence Sherman may publish in the future.

Co-authorship network of co-authors of Lawrence Sherman

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

All Works

20 of 20 papers shown
1.
Bhandari, Shiv, Jennifer Blackwood, Jason Coult, et al.. (2018). Rhythm profiles and survival after out-of-hospital ventricular fibrillation cardiac arrest. Resuscitation. 125. 22–27. 17 indexed citations
2.
Coult, Jason, Heemun Kwok, Lawrence Sherman, et al.. (2017). Ventricular fibrillation waveform measures combined with prior shock outcome predict defibrillation success during cardiopulmonary resuscitation. Journal of Electrocardiology. 51(1). 99–106. 26 indexed citations
3.
Coult, Jason, Lawrence Sherman, Heemun Kwok, et al.. (2016). Short ECG segments predict defibrillation outcome using quantitative waveform measures. Resuscitation. 109. 16–20. 18 indexed citations
4.
Kwok, Heemun, Jason Coult, Mathias Drton, Thomas D. Rea, & Lawrence Sherman. (2015). Adaptive rhythm sequencing: A method for dynamic rhythm classification during CPR. Resuscitation. 91. 26–31. 20 indexed citations
5.
Coute, Ryan A., Timothy J. Mader, & Lawrence Sherman. (2014). Outcomes by rescue shock number during the metabolic phase of porcine ventricular fibrillation resuscitation. The American Journal of Emergency Medicine. 32(6). 586–591. 4 indexed citations
6.
Coult, Jason, Carol Fahrenbruch, Jennifer Blackwood, et al.. (2013). Course of quantitative ventricular fibrillation waveform measure and outcome following out-of-hospital cardiac arrest. Heart Rhythm. 11(2). 230–236. 36 indexed citations
7.
8.
Sherman, Lawrence, James T. Niemann, Scott T. Youngquist, Atman P. Shah, & John P. Rosborough. (2011). Beta-blockade causes a reduction in the frequency spectrum of VF but improves resuscitation outcome: A potential limitation of quantitative waveform measures. Resuscitation. 83(4). 511–516. 15 indexed citations
9.
Sherman, Lawrence, Thomas D. Rea, Carol Fahrenbruch, & Randi Phelps. (2009). Abstract P76: Predictive Characteristics of Six ECG Waveform Measures in Out of Hospital Ventricular Fibrillation Arrest. Circulation. 120. 1 indexed citations
10.
Salcido, David D., James J. Menegazzi, Brian Suffoletto, Eric S. Logue, & Lawrence Sherman. (2009). Association of intramyocardial high energy phosphate concentrations with quantitative measures of the ventricular fibrillation electrocardiogram waveform. Resuscitation. 80(8). 946–950. 46 indexed citations
11.
Mader, Timothy J., et al.. (2008). A blinded, randomized controlled evaluation of an impedance threshold device during cardiopulmonary resuscitation in swine. Resuscitation. 77(3). 387–394. 15 indexed citations
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14.
Mader, Timothy J., et al.. (2006). Adenosine A1 receptor antagonism hastens the decay in ventricular fibrillation waveform morphology during porcine cardiac arrest. Resuscitation. 71(2). 254–259. 6 indexed citations
15.
Callaway, Clifton W., et al.. (2003). Dynamic nature of electrocardiographic waveform predicts rescue shock outcome in porcine ventricular fibrillation. Annals of Emergency Medicine. 42(2). 230–241. 26 indexed citations
16.
Menegazzi, James J., et al.. (2003). Immediate defibrillation versus interventions first in a swine model of prolonged ventricular fibrillation. Resuscitation. 59(2). 261–270. 31 indexed citations
17.
Sherman, Lawrence, Aron Flagg, Clifton W. Callaway, James J. Menegazzi, & Margaret Hsieh. (2003). Angular velocity: a new method to improve prediction of ventricular fibrillation duration. Resuscitation. 60(1). 79–90. 18 indexed citations
18.
Sherman, Lawrence, et al.. (2001). P HYSICIAN I NTERPRETATION AND Q UANTITATIVE M EASURES OF E LECTROCARDIOGRAPHIC V ENTRICULAR F IBRILLATION W AVEFORM. Prehospital Emergency Care. 5(2). 147–154. 5 indexed citations
19.
Wang, Henry E., et al.. (2001). Effects of Biphasic vs Monophasic Defibrillation on the Scaling Exponent in a Swine Model of Prolonged Ventricular Fibrillation. Academic Emergency Medicine. 8(8). 771–780. 11 indexed citations
20.
Witztum, Joseph L., et al.. (1980). Successful plasmapheresis in a 4-year-old child with homozygous familial hypercholesterolemia. The Journal of Pediatrics. 97(4). 615–618. 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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