Yanislava Karusheva

1.4k citations
28 papers · 372 indexed · h-index 10
Topics
Adipose Tissue and Metabolism (6 papers)Pancreatic function and diabetes (6 papers)Liver Disease Diagnosis and Treatment (5 papers)

In The Last Decade

Yanislava Karusheva

27 papers receiving 366 citations

Peers

Yanislava Karusheva
Comparison fields: 5 of 72
  • Physiology 185
  • Molecular Biology 158
  • Endocrinology, Diabetes and Metabolism 89
  • Epidemiology 76
  • Surgery 56
Replace Louise Lang Lehrskov with:
Louise Lang Lehrskov Denmark
Samia Warsame Kuwait
Stefan Drinda Germany
Yavor Assyov Bulgaria
Xiaolong Zhao China
Julieta Rodríguez-de-Ita Mexico
Constanze Thienel Switzerland
Shigeo Imamura Japan
Ermina Bach Denmark
Takehiro Kamo Japan
Yanislava Karusheva relative to Louise Lang Lehrskov Denmark Louise Lang Lehrskov's profile →
Citations per field
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Louise Lang Lehrskov · 1×
Citations per year

Countries citing papers authored by Yanislava Karusheva

Since Specialization
Citations

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

Fields of papers citing papers by Yanislava Karusheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanislava Karusheva. 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 Yanislava Karusheva. The network helps show where Yanislava Karusheva may publish in the future.

Co-authorship network of co-authors of Yanislava Karusheva

This figure shows the co-authorship network connecting the top 25 collaborators of Yanislava Karusheva. A scholar is included among the top collaborators of Yanislava Karusheva 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 Yanislava Karusheva. Yanislava Karusheva 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 1
2 4
3 3
4 1
5 19
6 14
7 5
8 7
9 1
10 30
11 15
12 5
13 5
14 13
15 9
16 42
17 135
18 3
19 2
20 1

About Yanislava Karusheva

Yanislava Karusheva is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Complementary and alternative medicine, having authored 28 papers that have together received 372 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Pancreatic function and diabetes (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Physiology (185 citations), Endocrinology, Diabetes and Metabolism (89 citations) and Aging (5 citations). Yanislava Karusheva has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Michael Roden, Klaus Straßburger, Julia Szendroedi, Volker Burkart, Oana‐Patricia Zaharia, Daniel F. Markgraf, Karsten Müssig, Dominik Pesta, Kálmán Bódis and Tomáš Jeleník. Their work appears in journals such as Brain, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

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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