Teresa Kuś

3.4k citations
70 papers · 2.0k indexed · 1 hit paper · h-index 22

Teresa Kuś

69 papers receiving 1.9k citations

Hit Papers

Amiodarone to Prevent Recurrence of Atrial Fibrillation7742000202620082017250500750

Peers

Teresa Kuś
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 1.8k
  • Surgery 431
  • Psychiatry and Mental health 88
  • Neurology 47
  • Neurology 62
Replace Karen J. Friday with:
Karen J. Friday United States
Manlio F. Márquez Mexico
Michael de Buitleir United States
Ryszard B. Król United States
Simón Milstein United States
Martin Fromer Switzerland
H Vallin Sweden
Robert A. Bauernfeind United States
Ramesh C. Dhingra United States
F Amat-y-Leon United States
Teresa Kuś relative to Karen J. Friday United States Karen J. Friday's profile →
Citations per field
00.5×1.5×
Karen J. Friday · 1×
Citations per year

Countries citing papers authored by Teresa Kuś

Since Specialization
Citations

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

Fields of papers citing papers by Teresa Kuś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202138
2 20181
3 20185
4 20182
5 20169
6 20161
7 201312
8 201228
9 201222
10 20123
11 201119
12 200825
13 20007
14
Amiodarone to Prevent Recurrence of Atrial Fibrillationbreakdown →
2000774
15 19984
16 19975
17 199720
18 19945
19 198919
20 198876

About Teresa Kuś

Teresa Kuś is a scholar working on Cardiology and Cardiovascular Medicine, Medical Laboratory Technology and Psychiatry and Mental health, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (44 papers), Cardiac electrophysiology and arrhythmias (39 papers), Cardiac pacing and defibrillation studies (22 papers), Atrial Fibrillation Management and Outcomes (20 papers), Cardiovascular Syncope and Autonomic Disorders (19 papers), ECG Monitoring and Analysis (7 papers), Heart Rate Variability and Autonomic Control (7 papers) and Psychosomatic Disorders and Their Treatments (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Surgery (431 citations) and Psychiatry and Mental health (88 citations). Teresa Kuś has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Marc Dubuc, Stuart J. Connolly, Bernard Thibault, Mario Talajic, Paul Dorian, Denis‐Claude Roy, Martin Green, Stanley Nattel, Mark J. Eisenberg and Jean Lambert. Their work appears in journals such as New England Journal of Medicine, Circulation and Annals of Internal Medicine.

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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