Nataliya Pidkovka

13 total papers · 558 total citations
8 papers, 450 citations indexed

About

Nataliya Pidkovka is a scholar working on Molecular Biology, Biochemistry and Oncology. According to data from OpenAlex, Nataliya Pidkovka has authored 8 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Oncology. Recurrent topics in Nataliya Pidkovka's work include Eicosanoids and Hypertension Pharmacology (3 papers), Hormonal Regulation and Hypertension (2 papers) and Phagocytosis and Immune Regulation (2 papers). Nataliya Pidkovka is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (3 papers), Hormonal Regulation and Hypertension (2 papers) and Phagocytosis and Immune Regulation (2 papers). Nataliya Pidkovka collaborates with scholars based in United States, Qatar and Russia. Nataliya Pidkovka's co-authors include Gary K. Owens, Norbert Leitinger, Olga A. Cherepanova, Tadashi Yoshida, Matthew R. Alexander, Rebecca A. Deaton, James A. Thomas, Raymond C. Harris, Abbes Belkhiri and Yan Gong and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Cancer Research.

In The Last Decade

Nataliya Pidkovka

8 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Nataliya Pidkovka	239	95	89	84	65	8	450
Toshie Kanayasu	221 0.9×	30 0.3×	70 0.8×	94 1.1×	82 1.3×	12	491
Y.L. Lee	220 0.9×	96 1.0×	39 0.4×	53 0.6×	74 1.1×	9	533
Pontus Larsson	257 1.1×	86 0.9×	48 0.5×	43 0.5×	42 0.6×	10	474
Katsunobu Kobayashi	202 0.8×	68 0.7×	28 0.3×	67 0.8×	76 1.2×	11	432
Elke Marsch	205 0.9×	108 1.1×	32 0.4×	160 1.9×	32 0.5×	8	487
Kyle T. Keyes	206 0.9×	47 0.5×	76 0.9×	82 1.0×	109 1.7×	7	493
Bill Davis	244 1.0×	88 0.9×	22 0.2×	38 0.5×	59 0.9×	13	474
Silke Sulyok	242 1.0×	85 0.9×	41 0.5×	36 0.4×	17 0.3×	8	495
Angela M. Whetzel	296 1.2×	108 1.1×	56 0.6×	31 0.4×	25 0.4×	7	432
Marie-Alix Conte	252 1.1×	131 1.4×	31 0.3×	61 0.7×	26 0.4×	12	526

Countries citing papers authored by Nataliya Pidkovka

Since Specialization

Citations

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

Fields of papers citing papers by Nataliya Pidkovka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataliya Pidkovka

This figure shows the co-authorship network connecting the top 25 collaborators of Nataliya Pidkovka. A scholar is included among the top collaborators of Nataliya Pidkovka 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 Nataliya Pidkovka. Nataliya Pidkovka 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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