Vadim V. Fedorov

6.4k citations
120 papers · 4.5k indexed · h-index 38

Vadim V. Fedorov

114 papers receiving 4.4k citations

Peers

Vadim V. Fedorov
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 3.7k
  • Cellular and Molecular Neuroscience 547
  • Molecular Biology 1.4k
  • Radiology, Nuclear Medicine and Imaging 317
  • Electrochemistry 76
Replace Jacques M.T. de Bakker with:
Jacques M.T. de Bakker Netherlands
Halina Dobrzynski United Kingdom
Penelope A. Boyden United States
Sander Verheule Netherlands
Gregory E. Morley United States
Andrew W. Trafford United Kingdom
Habo J. Jongsma Netherlands
Ronald Wilders Netherlands
Arie O. Verkerk Netherlands
Kenneth R. Laurita United States
Vadim V. Fedorov relative to Jacques M.T. de Bakker Netherlands Jacques M.T. de Bakker's profile →
Citations per field
00.5×1.5×
Jacques M.T. de Bakker · 1×
Citations per year

Countries citing papers authored by Vadim V. Fedorov

Since Specialization
Citations

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

Fields of papers citing papers by Vadim V. Fedorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vadim V. Fedorov. 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 Vadim V. Fedorov. The network helps show where Vadim V. Fedorov may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20243
5 20233
6 20229
7 20183
8 201825
9 201833
10 201769
11 201764
12 201394
13 201237
14 201226
15 2011119
16 201182
17
Abstract 2354: Low-Voltage Multiple Pulse Termination of Ventricular Tachycardia in 4-day Infarct Canine Hearts
20091
18 200819
19 200658
20 197924

About Vadim V. Fedorov

Vadim V. Fedorov is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Electrochemistry, having authored 120 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (68 papers), Cardiac Arrhythmias and Treatments (51 papers), Atrial Fibrillation Management and Outcomes (29 papers), Ion channel regulation and function (22 papers), Cardiac pacing and defibrillation studies (21 papers), Neuroscience and Neural Engineering (11 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiovascular Effects of Exercise (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Cellular and Molecular Neuroscience (547 citations) and Molecular Biology (1.4k citations). Vadim V. Fedorov has collaborated with scholars based in United States, New Zealand and Russia. Frequent co-authors include Igor R. Efimov, Alexey V. Glukhov, Jichao Zhao, Brian J. Hansen, Peter J. Mohler, Thomas A. Csepe, Richard B. Schuessler, Qing Lou, Nader Moazami and Paul M.L. Janssen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

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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