Irina Grabovec

29 total papers · 598 total citations
17 papers, 406 citations indexed

About

Irina Grabovec is a scholar working on Pharmacology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Irina Grabovec has authored 17 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 8 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Irina Grabovec's work include Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (4 papers) and Steroid Chemistry and Biochemistry (4 papers). Irina Grabovec is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (4 papers) and Steroid Chemistry and Biochemistry (4 papers). Irina Grabovec collaborates with scholars based in Belarus, Russia and Japan. Irina Grabovec's co-authors include Sergey A. Usanov, Natallia Strushkevich, Hee‐Won Park, Farrell MacKenzie, А. А. Гилеп, П.В. Ершов, Leonid Kaluzhskiy, Е.O. Yablokov, Ivanov As and O.V. Gnedenko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Irina Grabovec

16 papers receiving 403 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Irina Grabovec	200	168	107	55	49	17	406
Elyse M. Petrunak	176 0.9×	136 0.8×	101 0.9×	57 1.0×	77 1.6×	14	391
Christiane Scherer	162 0.8×	56 0.3×	120 1.1×	39 0.7×	87 1.8×	11	470
Andrew J. Annalora	174 0.9×	137 0.8×	163 1.5×	63 1.1×	85 1.7×	20	482
Megumi Akiyoshi‐Shibata	182 0.9×	207 1.2×	145 1.4×	50 0.9×	46 0.9×	10	403
Tom Rushmore	193 1.0×	191 1.1×	39 0.4×	126 2.3×	23 0.5×	14	485
Paul A. Hubbard	279 1.4×	91 0.5×	22 0.2×	53 1.0×	23 0.5×	14	474
Călin-Aurel Drăgan	228 1.1×	247 1.5×	95 0.9×	48 0.9×	25 0.5×	14	409
Ulrike E. Hille	104 0.5×	148 0.9×	200 1.9×	37 0.7×	129 2.6×	16	433
Alexey Chernogolov	209 1.0×	160 1.0×	70 0.7×	29 0.5×	52 1.1×	13	408
Lihui Si	197 1.0×	57 0.3×	35 0.3×	33 0.6×	24 0.5×	26	429

Countries citing papers authored by Irina Grabovec

Since Specialization

Citations

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

Fields of papers citing papers by Irina Grabovec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Grabovec

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

All Works

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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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