Vasyl Kovalishyn
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Materials Chemistry
- Catalysis top 10%
- Co-authors
- Igor V. TetkoLarysa MetelytsiaFatma Kandemi̇rlıDiana HodynaWillie J.G.M. PeijnenburgIvan SemenyutaAnatholy DimogloDavid J. Livingstone
- Topics
- Computational Drug Discovery Methods (33 papers)Synthesis and biological activity (27 papers)Synthesis and Biological Evaluation (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Hazardous MaterialsBiochemical and Biophysical Research Communications
In The Last Decade
Vasyl Kovalishyn
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Organic Chemistry 518
- Computational Theory and Mathematics 320
- Molecular Biology 276
- Materials Chemistry 135
- Catalysis 130
Countries citing papers authored by Vasyl Kovalishyn
This map shows the geographic impact of Vasyl Kovalishyn'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 Vasyl Kovalishyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasyl Kovalishyn more than expected).
Fields of papers citing papers by Vasyl Kovalishyn
This network shows the impact of papers produced by Vasyl Kovalishyn. 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 Vasyl Kovalishyn. The network helps show where Vasyl Kovalishyn may publish in the future.
Co-authorship network of co-authors of Vasyl Kovalishyn
This figure shows the co-authorship network connecting the top 25 collaborators of Vasyl Kovalishyn. A scholar is included among the top collaborators of Vasyl Kovalishyn 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 Vasyl Kovalishyn. Vasyl Kovalishyn 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 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 76 | |
| 16 | 23 | |
| 17 | 5 | |
| 18 | 101 | |
| 19 | 22 | |
| 20 | 11 |
About Vasyl Kovalishyn
Vasyl Kovalishyn is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Catalysis, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Synthesis and biological activity (27 papers) and Synthesis and Biological Evaluation (11 papers). The work is most often cited by research in Computational Theory and Mathematics (320 citations), Catalysis (130 citations) and Organic Chemistry (518 citations). Vasyl Kovalishyn has collaborated with scholars based in Ukraine, Türkiye and Germany. Frequent co-authors include Igor V. Tetko, Larysa Metelytsia, Fatma Kandemi̇rlı, Diana Hodyna, Willie J.G.M. Peijnenburg, Ivan Semenyuta, Anatholy Dimoglo, David J. Livingstone, Aysel Gürsoy and Nilgün Karalı. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Biochemical and Biophysical Research Communications.
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.