Todd Pavek

747 citations
19 papers · 593 · h-index 11

Impact in

Papers in

Todd Pavek

18 papers receiving 580 citations

Peers

Todd Pavek
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 363
  • Emergency Medicine 146
  • Pathology and Forensic Medicine 231
  • Radiology, Nuclear Medicine and Imaging 157
  • Developmental Neuroscience 27
Replace Ole-Jakob How with:
Ole-Jakob How Norway
X Z Dai United States
Michael V. Cohen United States
Gustavo A. Medrano Mexico
Douglas Stoller United States
Pilar Macho Chile
D D Laxson United States
Masatsugu Hori Japan
S DIGERNESS United States
Jules Osher United States
Todd Pavek relative to Ole-Jakob How Norway Ole-Jakob How's profile →
Citations per field
00.5×3.1×
Ole-Jakob How · 1×
Citations per year

Countries citing papers authored by Todd Pavek

Since Specialization
Citations

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

Fields of papers citing papers by Todd Pavek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996147
2 1993108
3 199591
4 199574
5 199146
6 199320
7 199520
8 200816
9 199416
10 199312
11 199211
12
Analgesic Efficacy of Firocoxib, a Selective Inhibitor of Cyclooxygenase 2, in a Mouse Model of Incisional Pain.
20158
13 19966
14 20095
15 20125
16 20215
17 20172
18 20041
19 20050

About Todd Pavek

Todd Pavek is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering and Pathology and Forensic Medicine, having authored 19 papers that have together received 593 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (363 citations), Emergency Medicine (146 citations), Pathology and Forensic Medicine (231 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Developmental Neuroscience (27 citations). Todd Pavek has collaborated with scholars based in United States, Poland and Sweden. Frequent co-authors include Robert J. Bache, Dirk J. Duncker, John D. Altman, Yutaka Ishibashi, Chris Klassen, Silke Herrlinger, David C. Homans, D D Laxson, Robert G. Turcott and Jianyi Zhang. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation, Pacing and Clinical Electrophysiology, Journal of the American Association for Laboratory Animal Science and EP Europace.

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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