Yu. A. Dyleva

60 papers receiving 826 citations

Peers

Yu. A. Dyleva
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 124
  • Cardiology and Cardiovascular Medicine 401
  • Physiology 260
  • Epidemiology 272
  • Endocrinology, Diabetes and Metabolism 124
Replace О. В. Груздева with:
О. В. Груздева Russia
Ayumu Hirata Japan
Joanna Janowska Poland
Yuxiao Fu Japan
Merja Santaniemi Finland
Aki Hiuge Japan
Georgios A. Christou Greece
Camila Manrique‐Acevedo United States
Robyn A. Tamboli United States
Jack C.‐R. Tsai Taiwan
Yu. A. Dyleva relative to О. В. Груздева Russia О. В. Груздева's profile →
Citations per field
00.5×1.5×
О. В. Груздева · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019201
2 2018123
3 201768
4 201845
5 201935
6 202226
7 201425
8 201321
9 202220
10 201619
11 201618
12 201418
13 201916
14 201315
15 201614
16 201712
17 202111
18 201310
19 201510
20 202110

About Yu. A. Dyleva

Yu. A. Dyleva is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Immunology, Surgery and Molecular Biology, having authored 79 papers that have together received 848 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (34 papers), Adipokines, Inflammation, and Metabolic Diseases (31 papers), Biomarkers in Disease Mechanisms (17 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Adipose Tissue and Metabolism (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), IL-33, ST2, and ILC Pathways (9 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (124 citations), Cardiology and Cardiovascular Medicine (401 citations), Physiology (260 citations), Epidemiology (272 citations) and Endocrinology, Diabetes and Metabolism (124 citations). Yu. A. Dyleva has collaborated with scholars based in Russia, United States 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, BMC Cardiovascular Disorders, Lipids in Health and Disease 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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