Е. V. Shlyakhto

154.4k citations
283 papers · 2.1k indexed · h-index 24

Е. V. Shlyakhto

230 papers receiving 2.0k citations

Peers

Е. V. Shlyakhto
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 907
  • Endocrinology, Diabetes and Metabolism 279
  • Neurology 93
  • Nephrology 74
  • Epidemiology 357
Replace Xiaoli Zhang with:
Xiaoli Zhang China
Xueying Li China
Jian Rong United States
Wenquan Niu China
James Hooper United Kingdom
Minako Yamaoka‐Tojo Japan
Antonio Muscari Italy
Wilson Nadruz Brazil
Soban Umar United States
Εugenia Gkaliagkousi Greece
Е. V. Shlyakhto relative to Xiaoli Zhang China Xiaoli Zhang's profile →
Citations per field
00.5×1.7×
Xiaoli Zhang · 1×
Citations per year

Countries citing papers authored by Е. V. Shlyakhto

Since Specialization
Citations

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

Fields of papers citing papers by Е. V. Shlyakhto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20231
5 20230
6 20230
7 20231
8 202213
9 202221
10 20211
11 20211
12 20214
13 20217
14 20202
15 20209
16 201923
17
Lipid-lowering treatment in the improvement of outcomes in patients with atherosclerotic cardiovascular disease and diabetes mellitus: the role of PCSK9 inhibitors
20181
18 20152
19
Algorithm for the management of patients with ventricular arrhythmias
20151
20
METABOLIC SYNDROME PREVALENCE IN RUSSIAN CITIES
20128

About Е. V. Shlyakhto

Е. V. Shlyakhto is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 283 papers that have together received 2.1k indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (43 papers), Blood Pressure and Hypertension Studies (35 papers), Cardiovascular Function and Risk Factors (22 papers), Human Health and Disease (21 papers), Heart Rate Variability and Autonomic Control (20 papers), Cardiovascular Health and Disease Prevention (16 papers), Cardiovascular Disease and Adiposity (16 papers) and Heart Failure Treatment and Management (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (907 citations), Endocrinology, Diabetes and Metabolism (279 citations) and Neurology (93 citations). Е. V. Shlyakhto has collaborated with scholars based in Russia, United States and Italy. Frequent co-authors include А. О. Конради, М. М. Галагудза, Е. И. Баранова, И Е Чазова, Anna Kostareva, S. А. Boytsov, S. А. Shalnova, А. Yu. Babenko, О. P. Rotar and Т. Л. Каронова. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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