А. Yu. Babenko

713 citations
78 papers · 461 · h-index 11

Impact in

Papers in

А. Yu. Babenko

61 papers receiving 445 citations

Peers

А. Yu. Babenko
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 140
  • Cardiology and Cardiovascular Medicine 62
  • Endocrine and Autonomic Systems 16
  • Genetics 63
  • Physiology 55
Replace Freddy Contreras with:
Freddy Contreras Venezuela
Kyung Ae Lee South Korea
Barbara Dietrich Austria
Jeļizaveta Sokolovska Latvia
Linda Pratt United States
Dan Farbstein Israel
Chunying Li United States
Francis Sanders United Kingdom
Carolina Victória Cruz Junho Brazil
Richard E. Schell United States
А. Yu. Babenko relative to Freddy Contreras Venezuela Freddy Contreras's profile →
Citations per field
00.5×4.6×
Freddy Contreras · 1×
Citations per year

Countries citing papers authored by А. Yu. Babenko

Since Specialization
Citations

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

Fields of papers citing papers by А. Yu. Babenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 201153
3 201626
4 201923
5 201921
6 202019
7 202118
8 201813
9 202211
10 200911
11 202410
12 20217
13 20227
14 20187
15 20217
16 20187
17 20196
18 20206
19 20206
20 20195

About А. Yu. Babenko

А. Yu. Babenko is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 78 papers that have together received 461 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes Management and Research (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Diet and metabolism studies (8 papers), Adipose Tissue and Metabolism (7 papers), Cardiovascular Function and Risk Factors (7 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Cardiology and Cardiovascular Medicine (62 citations), Endocrine and Autonomic Systems (16 citations), Genetics (63 citations) and Physiology (55 citations). А. Yu. Babenko has collaborated with scholars based in Russia, United States and Egypt. Frequent co-authors include Е. V. Shlyakhto, Wanda H. Vila‐Carriles, Ana Crane, Joseph Bryan, Lydia Aguilar‐Bryan, Elena Grineva, Anna Kostareva, Alexandra N. Ivanova, Vladimir Dobronravov and O. A. Smolyanskaya. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Medicine, Life, BioMed Research International and Cell Cycle.

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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