Nataliya Pidkovka

558 citations
8 papers · 452 · h-index 5

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Kruppel-like factors research 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 1
    • Eicosanoids and Hypertension Pharmacology 3

Nataliya Pidkovka

8 papers receiving 444 citations

Peers

Nataliya Pidkovka
Comparison fields: 5 of 64
  • Biochemistry 89
  • Cancer Research 85
  • Biochemistry 28
  • Immunology 95
  • Immunology and Allergy 26
Replace Monica Y. Lee with:
Monica Y. Lee United States
Masao Yukawa Japan
P. Salbach Germany
Pontus Larsson Sweden
Yoji Taba Japan
M S Runge United States
Yuen‐Jen Chao Taiwan
Jérôme Terrand France
Marc W. Pladet United States
Sanna-Kaisa Häkkinen Finland
Nataliya Pidkovka relative to Monica Y. Lee United States Monica Y. Lee's profile →
Citations per field
00.5×2.8×
Monica Y. Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nataliya Pidkovka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nataliya Pidkovka Line = papers co-authored together Nataliya Pidkovka links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007192
2 2009110
3 200555
4 201353
5 201335
6 20234
7 20222
8 20211

About Nataliya Pidkovka

Nataliya Pidkovka is a scholar working on Molecular Biology, Biochemistry, Oncology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 8 papers that have together received 452 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (3 papers), Kruppel-like factors research (2 papers), Phagocytosis and Immune Regulation (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Hormonal Regulation and Hypertension (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Biochemistry (89 citations), Cancer Research (85 citations), Biochemistry (28 citations), Immunology (95 citations) and Immunology and Allergy (26 citations). Nataliya Pidkovka has collaborated with scholars based in United States, Qatar and Russia. Frequent co-authors include Norbert Leitinger, Olga A. Cherepanova, Gary K. Owens, Tadashi Yoshida, James A. Thomas, Matthew R. Alexander, Rebecca A. Deaton, Raymond C. Harris, Shaojun Mei and Yan Gong. Their work appears in journals such as Frontiers in Oncology, Journal of Biological Chemistry, Circulation Research, Oncotarget and Cancer Research.

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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