Е. V. Shlyakhto
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- А. О. КонрадиМ. М. ГалагудзаЕ. И. БарановаИ Е ЧазоваAnna KostarevaS. А. BoytsovS. А. ShalnovaА. Yu. Babenko
- Topics
- Healthcare Systems and Public Health (43 papers)Blood Pressure and Hypertension Studies (35 papers)Cardiovascular Function and Risk Factors (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- RussiaUnited StatesItaly
In The Last Decade
Е. V. Shlyakhto
230 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 129
- Cardiology and Cardiovascular Medicine 907
- Epidemiology 357
- Molecular Biology 356
- Endocrinology, Diabetes and Metabolism 279
- Physiology 249
Countries citing papers authored by Е. V. Shlyakhto
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
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 of co-authors of Е. V. Shlyakhto
This figure shows the co-authorship network connecting the top 25 collaborators of Е. V. Shlyakhto. A scholar is included among the top collaborators of Е. V. Shlyakhto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Е. V. Shlyakhto. Е. V. Shlyakhto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 23 | |
| 17 | Lipid-lowering treatment in the improvement of outcomes in patients with atherosclerotic cardiovascular disease and diabetes mellitus: the role of PCSK9 inhibitors | 1 |
| 18 | 2 | |
| 19 | Algorithm for the management of patients with ventricular arrhythmias | 1 |
| 20 | METABOLIC SYNDROME PREVALENCE IN RUSSIAN CITIES | 8 |
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) and Cardiovascular Function and Risk Factors (22 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.