Joan R. Lutz

1.4k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 13

Joan R. Lutz

17 papers receiving 1.0k citations

Hit Papers

A Randomized Trial of Intracoronary Streptokinase in the ...4111983202619972011100200300400

Peers

Joan R. Lutz
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 976
  • Radiology, Nuclear Medicine and Imaging 310
  • Internal Medicine 30
  • Surgery 291
  • Emergency Medicine 51
Replace T. Pop with:
T. Pop Germany
Haruo Tomoda Japan
John B. Bedotto United States
Dritan Keta Germany
Yoshiki Takatsu Japan
U Nellessen Germany
Murray A. Varat United States
F Navarro-López Spain
Shunta Sakai Japan
Alejandro Solodky Israel
Joan R. Lutz relative to T. Pop Germany T. Pop's profile →
Citations per field
00.5×
T. Pop · 1×
Citations per year

Countries citing papers authored by Joan R. Lutz

Since Specialization
Citations

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

Fields of papers citing papers by Joan R. Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1
Esmolol, the first ultra-short-acting intravenous beta blocker for use in critically ill patients.
19888
2 198750
3 198657
4 19867
5
Familial automaticity-conduction disorder with associated cardiomyopathy.
198616
6 19858
7 1985201
8 19856
9 198414
10 1984108
11 198424
12 198463
13 198369
14 198315
15
A Randomized Trial of Intracoronary Streptokinase in the Treatment of Acute Myocardial Infarctionbreakdown →
1983411
16 198326
17 198227

About Joan R. Lutz

Joan R. Lutz is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (11 papers), Cardiac electrophysiology and arrhythmias (11 papers), Cardiac pacing and defibrillation studies (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Acute Myocardial Infarction Research (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (976 citations), Radiology, Nuclear Medicine and Imaging (310 citations) and Internal Medicine (30 citations). Joan R. Lutz has collaborated with scholars based in United States. Frequent co-authors include Jeffrey L. Anderson, Frank G. Yanowitz, Arthur D. Hagan, Hiram W. Marshall, Bruce E. Bray, Philip R. Frederick, Frederick L. Datz, S C Klausner, Sherman G. Sorensen and Ronald L. Menlove. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

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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