Yu. A. Dyleva

61 papers receiving 868 citations

Peers

Yu. A. Dyleva
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 363
  • Endocrine and Autonomic Systems 106
  • Physiology 218
  • Epidemiology 235
  • Endocrinology, Diabetes and Metabolism 107
Replace Reza Fadaei with:
Reza Fadaei Iran
Ayumu Hirata Japan
Joanna Janowska Poland
Roland James United States
Riadh Jemaa Tunisia
Jonas Andersson Sweden
Tiziana Ronti Italy
Sébastien Thalmann Switzerland
Georgios A. Christou Greece
Merja Santaniemi Finland
Yu. A. Dyleva relative to Reza Fadaei Iran Reza Fadaei's profile →
Citations per field
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Reza Fadaei · 1×
Citations per year

Countries citing papers authored by Yu. A. Dyleva

Since Specialization
Citations

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

Fields of papers citing papers by Yu. A. Dyleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. A. Dyleva. 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 Yu. A. Dyleva. The network helps show where Yu. A. Dyleva may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019217
2 2018131
3 201771
4 201845
5 201937
6 202227
7 201426
8 201323
9 202222
10 201619
11 201418
12 201618
13 201316
14 201916
15 201615
16 201713
17 202111
18 201511
19 202111
20 202110

About Yu. A. Dyleva

Yu. A. Dyleva is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Immunology, Surgery and Physiology, having authored 82 papers that have together received 892 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (33 papers), Adipokines, Inflammation, and Metabolic Diseases (25 papers), Biomarkers in Disease Mechanisms (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Adipose Tissue and Metabolism (10 papers), IL-33, ST2, and ILC Pathways (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (363 citations), Endocrine and Autonomic Systems (106 citations), Physiology (218 citations), Epidemiology (235 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Yu. A. Dyleva has collaborated with scholars based in Russia and Germany. Frequent co-authors include О. В. Груздева, О. Л. Барбараш, Е. Г. Учасова, Daria A. Borodkinа, E. V. Belik, В. Н. Каретникова, О. Е. Акбашева, А. Н. Коков, В. Г. Матвеева and Л. В. Антонова. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Aging, Lipids in Health and Disease, BMC Cardiovascular Disorders and International Journal of Molecular Sciences.

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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