В Ф Чехун

2.6k total citations · 1 hit paper
156 papers, 2.0k citations indexed

About

В Ф Чехун is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, В Ф Чехун has authored 156 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 45 papers in Oncology and 26 papers in Biomaterials. Recurrent topics in В Ф Чехун's work include Nanoparticle-Based Drug Delivery (25 papers), Cancer Research and Treatments (18 papers) and Cancer Cells and Metastasis (13 papers). В Ф Чехун is often cited by papers focused on Nanoparticle-Based Drug Delivery (25 papers), Cancer Research and Treatments (18 papers) and Cancer Cells and Metastasis (13 papers). В Ф Чехун collaborates with scholars based in Ukraine, United States and Russia. В Ф Чехун's co-authors include Igor P. Pogribny, Volodymyr Tryndyak, Olga Kovalchuk, Yaroslav Ilnytskyy, Jody Filkowski, James Meservy, N Yu Lukianova, I N Todor, Svitlana Shpyleva and Frederick A. Beland and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Cancer Letters.

In The Last Decade

В Ф Чехун

138 papers receiving 2.0k citations

Hit Papers

Involvement of microRNA-4... 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicin
    2008 522 citations Olga Kovalchuk, Jody Filkowski et al. Molecular Cancer Therapeutics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В Ф Чехун Ukraine 17 1.2k 717 503 186 155 156 2.0k
Paolo Ubezio Italy 29 1.4k 1.2× 488 0.7× 628 1.2× 235 1.3× 134 0.9× 111 2.5k
Jan Hraběta Czechia 23 1.6k 1.4× 273 0.4× 606 1.2× 117 0.6× 193 1.2× 53 2.5k
William Westlin United States 24 1.2k 1.1× 555 0.8× 545 1.1× 211 1.1× 192 1.2× 65 3.0k
Michelle J. Henderson Australia 21 1.6k 1.4× 442 0.6× 1.1k 2.3× 170 0.9× 63 0.4× 40 2.5k
Saverio Tardito Italy 24 1.6k 1.3× 1.0k 1.4× 916 1.8× 161 0.9× 413 2.7× 37 3.1k
Fernando Doñate United States 22 897 0.8× 341 0.5× 508 1.0× 145 0.8× 109 0.7× 56 1.8k
Kenneth W. Yip Canada 23 1.5k 1.3× 697 1.0× 522 1.0× 290 1.6× 142 0.9× 40 2.7k
Wei-Qun Ding United States 24 1.5k 1.2× 989 1.4× 379 0.8× 152 0.8× 111 0.7× 38 2.2k
Hui Cong China 26 1.3k 1.1× 851 1.2× 399 0.8× 138 0.7× 118 0.8× 97 2.1k
Ana M. Tari United States 31 1.7k 1.5× 367 0.5× 708 1.4× 167 0.9× 161 1.0× 65 2.6k

Countries citing papers authored by В Ф Чехун

Since Specialization
Citations

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

Fields of papers citing papers by В Ф Чехун

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В Ф Чехун. 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 В Ф Чехун. The network helps show where В Ф Чехун may publish in the future.

Co-authorship network of co-authors of В Ф Чехун

This figure shows the co-authorship network connecting the top 25 collaborators of В Ф Чехун. A scholar is included among the top collaborators of В Ф Чехун 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 В Ф Чехун. В Ф Чехун 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
1.
Чехун, В Ф, et al.. (2025). Expression Patterns of Matricellular Proteins in Metastatic Breast Cancer at the Background of Metabolic Syndrome. Experimental Oncology. 46(4). 333–340.
2.
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Чехун, В Ф, et al.. (2024). EXPRESSION OF SPP1 AND SPARC GENES IN TUMOR TISSUE OF PATIENTS WITH BREAST CANCER. Experimental Oncology. 46(1). 13–21. 3 indexed citations
4.
Чехун, В Ф. (2023). SYMBIOSIS OF MEDICAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE: NEW OPPORTUNITIES IN ONCOLOGY. Experimental Oncology. 44(2). 90–92. 2 indexed citations
5.
Чехун, В Ф, et al.. (2023). HUMAN MICROBIOTA AND BREAST CANCER. Experimental Oncology. 44(2). 95–106. 7 indexed citations
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Чехун, В Ф, et al.. (2023). Osteonectin (SPARC) prognostic value in prostate cancer. Pathology - Research and Practice. 254. 155053–155053. 5 indexed citations
8.
Todor, I N, et al.. (2022). Peculiarities of neoplasms appeared after total body irradiation and homeostasis parameters in rats. Open Research Europe. 2. 95–95. 1 indexed citations
9.
Lukianova, N Yu, et al.. (2022). Mast cells as a tumor microenvironment factor associated with the aggressiveness of prostate cancer. Neoplasma. 69(6). 1490–1498. 10 indexed citations
10.
Чехун, В Ф, et al.. (2022). Study of the laser radiation effect in combination with doxorubicin on the survival of MCF7 and MCF7DOX culture cells. Zenodo (CERN European Organization for Nuclear Research). 37–50.
11.
Lukianova, N Yu, et al.. (2018). EFFECTS OF EXOGENOUS LACTOFERRIN ON PHENOTYPIC PROFILE AND INVASIVENESS OF HUMAN PROSTATE CANCER CELLS (DU-145 AND LNCaP) IN VITRO. Experimental Oncology. 40(3). 184–189. 6 indexed citations
12.
13.
Чехун, В Ф, et al.. (2016). ecancermedicalscience. ecancermedicalscience. 7. 369–369. 2 indexed citations
14.
Чехун, В Ф, et al.. (2013). Iron metabolism disturbances in the MCF-7 human breast cancer cells with acquired resistance to doxorubicin and cisplatin. International Journal of Oncology. 43(5). 1481–1486. 63 indexed citations
15.
Чехун, В Ф, et al.. (2013). New approach to the approximation of «dose – effect» dependence during the human somatic cells irradiation. SHILAP Revista de lepidopterología.
16.
Yefimova, Svetlana, et al.. (2012). Comparative study of dye-loaded liposome accumulation in sensitive and resistant human breast cancer cells.. PubMed. 34(2). 101–6. 13 indexed citations
17.
Lukianova, N Yu, et al.. (2011). Molecular profile of gastric cancer as a basis of individualized treatment and prognosis of disease outcome.. PubMed. 33(3). 182–5.
18.
Чехун, В Ф, et al.. (2009). Expression of drug resistance proteins in triple-receptor-negative tumors as the basis of individualized therapy of the breast cancer patients.. PubMed. 31(2). 123–4. 18 indexed citations
19.
Чехун, В Ф, et al.. (2009). Relation between pathomorphological response in tumors after neoadjuvant chemotherapy and clinico-morphological and molecular prognostic factors in patients with breast cancer.. PubMed. 31(4). 231–6. 2 indexed citations
20.
Kovalchuk, Olga, Jody Filkowski, James Meservy, et al.. (2008). Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicin. Molecular Cancer Therapeutics. 7(7). 2152–2159. 522 indexed citations breakdown →

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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