Е. Г. Учасова

1.2k citations
75 papers · 895 indexed · h-index 15
Topics
Adipokines, Inflammation, and Metabolic Diseases (29 papers)Cardiovascular Disease and Adiposity (27 papers)Biomarkers in Disease Mechanisms (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences

In The Last Decade

Е. Г. Учасова

62 papers receiving 869 citations

Peers

Е. Г. Учасова
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 380
  • Epidemiology 278
  • Physiology 239
  • Surgery 191
  • Endocrinology, Diabetes and Metabolism 124
Replace Hongyun Yan with:
Hongyun Yan Canada
David Lau Canada
Melanie M. Mott United States
Deniz Gökalp Türkiye
Francesca Schinzari Italy
Aki Hiuge Japan
Avshalom Leibowitz Israel
Georgios A. Christou Greece
Preeti Kishore United States
T Ng Australia
Е. Г. Учасова relative to Hongyun Yan Canada Hongyun Yan's profile →
Citations per field
00.5×6.1×
Hongyun Yan · 1×
Citations per year

Countries citing papers authored by Е. Г. Учасова

Since Specialization
Citations

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

Fields of papers citing papers by Е. Г. Учасова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. Г. Учасова

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Г. Учасова. A scholar is included among the top collaborators of Е. Г. Учасова 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. Г. Учасова. Е. Г. Учасова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 8
6 0
7 0
8 1
9 1
10 3
11 7
12 7
13 0
14 7
15 4
16 0
17 14
18 4
19 25
20 10

About Е. Г. Учасова

Е. Г. Учасова is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Epidemiology, having authored 75 papers that have together received 895 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (29 papers), Cardiovascular Disease and Adiposity (27 papers) and Biomarkers in Disease Mechanisms (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (123 citations), Cardiology and Cardiovascular Medicine (380 citations) and Physiology (239 citations). Е. Г. Учасова has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include О. Л. Барбараш, О. В. Груздева, Yu. A. Dyleva, Daria A. Borodkinа, В. Н. Каретникова, E. V. Belik, О. Е. Акбашева, А. Н. Коков, В. Г. Матвеева and Л. В. Антонова. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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