Natallia Strushkevich

1.6k citations
42 papers · 1.2k indexed · h-index 15
Topics
Pharmacogenetics and Drug Metabolism (27 papers)Hormonal Regulation and Hypertension (17 papers)Estrogen and related hormone effects (7 papers)
Partner nations
BelarusRussiaCanada

In The Last Decade

Natallia Strushkevich

42 papers receiving 1.2k citations

Peers

Natallia Strushkevich
Comparison fields: 5 of 92
  • Molecular Biology 462
  • Pharmacology 461
  • Endocrinology, Diabetes and Metabolism 317
  • Genetics 159
  • Oncology 156
Replace А. А. Гилеп with:
А. А. Гилеп Belarus
J. Neville Wright United Kingdom
Ursula Müller‐Vieira Germany
Mary Erman United States
Michael P. Arlotto United States
Dennis Dean United States
Sergio C. Chai United States
Vladimı́r Wsól Czechia
Yuko Matsushima‐Hibiya Japan
Henry Barnes United States
Natallia Strushkevich relative to А. А. Гилеп Belarus А. А. Гилеп's profile →
Citations per field
00.5×1.5×
А. А. Гилеп · 1×
Citations per year

Countries citing papers authored by Natallia Strushkevich

Since Specialization
Citations

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

Fields of papers citing papers by Natallia Strushkevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natallia Strushkevich

This figure shows the co-authorship network connecting the top 25 collaborators of Natallia Strushkevich. A scholar is included among the top collaborators of Natallia Strushkevich 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 Natallia Strushkevich. Natallia Strushkevich 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 3
2 1
3 12
4 3
5 2
6 13
7 1
8 15
9 20
10 6
11 7
12 2
13 8
14 21
15 2
16 4
17 234
18 112
19 9
20 86

About Natallia Strushkevich

Natallia Strushkevich is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Hormonal Regulation and Hypertension (17 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Pharmacology (461 citations), Endocrinology, Diabetes and Metabolism (317 citations) and Biochemistry (59 citations). Natallia Strushkevich has collaborated with scholars based in Belarus, Russia and Canada. Frequent co-authors include Sergey A. Usanov, Hee‐Won Park, А. А. Гилеп, Irina Grabovec, Farrell MacKenzie, Glenville Jones, A.N. Plotnikov, C.H. Arrowsmith, A.M. Edwards and Limin Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.

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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