J. Peter Weiss

4.6k citations
72 papers · 2.3k indexed · h-index 28

J. Peter Weiss

64 papers receiving 2.3k citations

Peers

J. Peter Weiss
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 2.0k
  • Internal Medicine 116
  • Epidemiology 398
  • Neurology 72
  • Geriatrics and Gerontology 30
Replace Brian G. Crandall with:
Brian G. Crandall United States
Jeffrey S. Osborn United States
Sally C. Howard United Kingdom
Domenico Scrutinio Italy
Kang-Ling Wang Taiwan
Celine Gallagher Australia
Traci M. Bartz United States
Carlo Rostagno Italy
Filippo M. Sarullo Italy
Dietrich Andresen Germany
J. Peter Weiss relative to Brian G. Crandall United States Brian G. Crandall's profile →
Citations per field
00.5×1.7×
Brian G. Crandall · 1×
Citations per year

Countries citing papers authored by J. Peter Weiss

Since Specialization
Citations

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

Fields of papers citing papers by J. Peter Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20243
5 202327
6 20232
7 20230
8 20220
9 201948
10 20174
11 201735
12 201369
13 201330
14
Abstract 14708: Pradaxa Can Be Safely Used As Monotherapy Or As A Bridge To Therapeutic Warfarin After Atrial Fibrillation Ablation
20111
15 201147
16 20113
17 201050
18 200814
19 200688
20 200469

About J. Peter Weiss

J. Peter Weiss is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Family Practice, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (44 papers), Cardiac Arrhythmias and Treatments (38 papers), Cardiac pacing and defibrillation studies (21 papers), Cardiac electrophysiology and arrhythmias (19 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Pharmaceutical industry and healthcare (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Internal Medicine (116 citations) and Epidemiology (398 citations). J. Peter Weiss has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include T. Jared Bunch, John Day, Brian G. Crandall, Jeffrey S. Osborn, Heidi T. May, Tami L. Bair, Jeffrey L. Anderson, Donald Lappé, Benjamin D. Horne and Joseph B. Muhlestein. Their work appears in journals such as Heart Rhythm, Journal of Cardiovascular Electrophysiology, Pacing and Clinical Electrophysiology, Circulation and The American Journal 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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