Ann C. Garlitski

1.1k citations
29 papers · 685 indexed · h-index 11

Ann C. Garlitski

26 papers receiving 671 citations

Peers

Ann C. Garlitski
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 613
  • Radiology, Nuclear Medicine and Imaging 125
  • Internal Medicine 11
  • Endocrine and Autonomic Systems 17
  • Medical Laboratory Technology 3
Replace Gregory F. Michaud with:
Gregory F. Michaud United States
Damian Kawecki Poland
Ole Kongstad Sweden
Pedro Engel Gonzalez United States
Mark K. Warshofsky United States
Ermengol Vallès Spain
Theodoros Intzilakis Denmark
Murat Özeren Türkiye
Meryem Aktöz Türkiye
Awaneesh Kumar United States
Ann C. Garlitski relative to Gregory F. Michaud United States Gregory F. Michaud's profile →
Citations per field
00.5×1.5×
Gregory F. Michaud · 1×
Citations per year

Countries citing papers authored by Ann C. Garlitski

Since Specialization
Citations

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

Fields of papers citing papers by Ann C. Garlitski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann C. Garlitski. 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 Ann C. Garlitski. The network helps show where Ann C. Garlitski may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20220
3 20220
4 202114
5 20219
6 20195
7 20193
8 20183
9 20187
10 201821
11 201210
12 20119
13 201018
14 2010199
15 2010123
16 200985
17 200838
18 20088
19 20088
20 20069

About Ann C. Garlitski

Ann C. Garlitski is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Emergency Medical Services, Biotechnology and Surgery, having authored 29 papers that have together received 685 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Cardiac Arrhythmias and Treatments (13 papers), Cardiac pacing and defibrillation studies (9 papers), Atrial Fibrillation Management and Outcomes (6 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiovascular Effects of Exercise (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (613 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Internal Medicine (11 citations), Endocrine and Autonomic Systems (17 citations) and Medical Laboratory Technology (3 citations). Ann C. Garlitski has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Alawi Alsheikh‐Ali, Ethan M. Balk, Mei Chung, Teruhiko Terasawa, Stanley Ip, N.A. Mark Estes, Mark S. Link, Christopher Madias, Jacqueline Latina and Timothy P. Fitzgibbons. Their work appears in journals such as Journal of Interventional Cardiac Electrophysiology, Heart Rhythm, Annals of Internal Medicine, Journal of the American College of Cardiology and Pulmonary 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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