Kuznetsov Va

775 citations
112 papers · 371 · h-index 10

Impact in

Papers in

    • Cardiac Arrhythmias and Treatments 11
    • Cardiac Health and Mental Health 11
    • Cardiac pacing and defibrillation studies 9
    • Acute Myocardial Infarction Research 8
    • Cardiovascular Effects of Exercise 6
    • Healthcare Systems and Public Health 14

Kuznetsov Va

90 papers receiving 340 citations

Peers

Kuznetsov Va
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 141
  • Endocrine and Autonomic Systems 24
  • Modeling and Simulation 15
  • Epidemiology 74
  • Radiology, Nuclear Medicine and Imaging 36
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Citations per year

Countries citing papers authored by Kuznetsov Va

Since Specialization
Citations

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

Fields of papers citing papers by Kuznetsov Va

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Kuznetsov Va, 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 Kuznetsov Va Line = papers co-authored together Kuznetsov Va links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201935
2 201829
3 200420
4 201614
5
[Bifurcation analysis of a mathematical model of the interaction of cytotoxic lymphocytes with tumor cells. The effect of immunologic amplification of tumor growth and its interconnection with other "anomolous" phenomena of oncoimmunology].
199314
6 201411
7 201910
8 20149
9 20199
10 20219
11 20168
12 20148
13 20177
14 20177
15 20147
16 20167
17 20177
18 20106
19 20175
20 20195

About Kuznetsov Va

Kuznetsov Va is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 112 papers that have together received 371 indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (14 papers), Cardiac Arrhythmias and Treatments (11 papers), Cardiac Health and Mental Health (11 papers), Cardiac pacing and defibrillation studies (9 papers), Cardiac Imaging and Diagnostics (9 papers), Acute Myocardial Infarction Research (8 papers), Coronary Interventions and Diagnostics (7 papers) and Cardiovascular Effects of Exercise (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (141 citations), Endocrine and Autonomic Systems (24 citations), Modeling and Simulation (15 citations), Epidemiology (74 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). Kuznetsov Va has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include В. В. Гафаров, Gregory D. Zimet, Denis Gubin, Andrey V. Tchabovsky, Germaine Cornélissen, D. Weinert, М. П. Мошкин, С. В. Шалаев, Yu. N. Belenkov and Tatiana Vinogradova. Their work appears in journals such as Journal of the American College of Cardiology, Global Heart, Clinical Gerontologist, International Geology Review and Journal of Psychosomatic Research.

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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