В Ф Чехун
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine
- Organic Chemistry top 10%
- Co-authors
- Igor P. PogribnyVolodymyr TryndyakOlga KovalchukJames MeservyYaroslav IlnytskyyJody FilkowskiN Yu LukianovaI N Todor
- Topics
- Nanoparticle-Based Drug Delivery (25 papers)Cancer Research and Treatments (18 papers)Cancer Cells and Metastasis (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryCancer Letters
- Partner nations
- UkraineUnited StatesRussia
In The Last Decade
В Ф Чехун
138 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.2k
- Cancer Research 717
- Oncology 503
- Pulmonary and Respiratory Medicine 186
- Organic Chemistry 155
Countries citing papers authored by В Ф Чехун
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | New approach to the approximation of «dose – effect» dependence during the human somatic cells irradiation | 0 |
| 16 | 63 | |
| 17 | Comparative study of dye-loaded liposome accumulation in sensitive and resistant human breast cancer cells. | 13 |
| 18 | Relation between pathomorphological response in tumors after neoadjuvant chemotherapy and clinico-morphological and molecular prognostic factors in patients with breast cancer. | 2 |
| 19 | Expression of drug resistance proteins in triple-receptor-negative tumors as the basis of individualized therapy of the breast cancer patients. | 18 |
| 20 | Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicinbreakdown → | 522 |
About В Ф Чехун
В Ф Чехун is a scholar working on Biotechnology, Biomaterials and Oncology, having authored 156 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (25 papers), Cancer Research and Treatments (18 papers) and Cancer Cells and Metastasis (13 papers). The work is most often cited by research in Cancer Research (717 citations), Oncology (503 citations) and Molecular Biology (1.2k citations). В Ф Чехун has collaborated with scholars based in Ukraine, United States and Russia. Frequent co-authors include Igor P. Pogribny, Volodymyr Tryndyak, Olga Kovalchuk, James Meservy, Yaroslav Ilnytskyy, Jody Filkowski, N Yu Lukianova, I N Todor, Svitlana Shpyleva and Frederick A. Beland. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Cancer Letters.
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.