Nataliya Pidkovka

558 total citations
8 papers, 452 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 452 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), Phagocytosis and Immune Regulation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Nataliya Pidkovka is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (3 papers), Phagocytosis and Immune Regulation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Nataliya Pidkovka collaborates with scholars based in United States, Qatar and Russia. Nataliya Pidkovka's co-authors include Olga A. Cherepanova, Norbert Leitinger, Gary K. Owens, Tadashi Yoshida, Matthew R. Alexander, Rebecca A. Deaton, James A. Thomas, Shaojun Mei, Abbes Belkhiri and Raymond C. Harris 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 444 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nataliya Pidkovka United States	5	240	95	89	85	65	8	452
Prasanna Ekambaram United States	7	208 0.9×	76 0.8×	86 1.0×	123 1.4×	35 0.5×	8	438
Sanna-Kaisa Häkkinen Finland	8	284 1.2×	105 1.1×	64 0.7×	99 1.2×	20 0.3×	9	591
Yande Guo United States	8	249 1.0×	45 0.5×	142 1.6×	121 1.4×	49 0.8×	12	536
Yinlong Cai United States	10	239 1.0×	68 0.7×	89 1.0×	103 1.2×	31 0.5×	12	502
So Masaki Japan	8	413 1.7×	42 0.4×	55 0.6×	57 0.7×	34 0.5×	12	566
Srividya Velagapudi Switzerland	9	171 0.7×	95 1.0×	32 0.4×	73 0.9×	68 1.0×	12	423
Bai Luo United States	13	472 2.0×	99 1.0×	42 0.5×	80 0.9×	44 0.7×	15	823
Xina Xie China	13	260 1.1×	43 0.5×	56 0.6×	134 1.6×	31 0.5×	15	438
Tingbo Ding China	12	353 1.5×	49 0.5×	82 0.9×	52 0.6×	29 0.4×	22	472

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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8 of 8 papers shown

Pidkovka, Nataliya & Abbes Belkhiri. (2023). Altered expression of AXL receptor tyrosine kinase in gastrointestinal cancers: a promising therapeutic target. Frontiers in Oncology. 13. 1079041–1079041. 4 indexed citations

Hong, Jun, Selma Maacha, Nataliya Pidkovka, et al.. (2022). AXL Promotes Metformin-Induced Apoptosis Through Mediation of Autophagy by Activating ROS-AMPK-ULK1 Signaling in Human Esophageal Adenocarcinoma. Frontiers in Oncology. 12. 903874–903874. 2 indexed citations

Pidkovka, Nataliya, et al.. (2021). Extrahepatic cytochrome P450 epoxygenases: pathophysiology and clinical significance in human gastrointestinal cancers. Oncotarget. 12(4). 379–391. 1 indexed citations

Pidkovka, Nataliya, Reena Rao, Shaojun Mei, et al.. (2013). Epoxyeicosatrienoic Acids (EETs) Regulate Epithelial Sodium Channel Activity by Extracellular Signal-regulated Kinase 1/2 (ERK1/2)-mediated Phosphorylation. Journal of Biological Chemistry. 288(7). 5223–5231. 35 indexed citations

Capdevila, Jorge H., Nataliya Pidkovka, Shaojun Mei, et al.. (2013). The Cyp2c44 Epoxygenase Regulates Epithelial Sodium Channel Activity and the Blood Pressure Responses to Increased Dietary Salt. Journal of Biological Chemistry. 289(7). 4377–4386. 53 indexed citations

Cherepanova, Olga A., Nataliya Pidkovka, Olga F. Sarmento, et al.. (2009). Oxidized Phospholipids Induce Type VIII Collagen Expression and Vascular Smooth Muscle Cell Migration. Circulation Research. 104(5). 609–618. 110 indexed citations

Pidkovka, Nataliya, Olga A. Cherepanova, Tadashi Yoshida, et al.. (2007). Oxidized Phospholipids Induce Phenotypic Switching of Vascular Smooth Muscle Cells In Vivo and In Vitro. Circulation Research. 101(8). 792–801. 192 indexed citations

Belkhiri, Abbes, Alexander Zaika, Nataliya Pidkovka, et al.. (2005). Darpp-32: a Novel Antiapoptotic Gene in Upper Gastrointestinal Carcinomas. Cancer Research. 65(15). 6583–6592. 55 indexed citations

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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