Yu. V. Borodina
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Organic Chemistry top 10%
- Pharmacology top 5%
- Pharmacology top 10%
- Co-authors
- Vladimir PoroikovDmitry FilimonovAlexey A. LaguninTatyana A. GloriozovaAlexander J. KosMarc C. NicklausWolf‐Dietrich IhlenfeldtFabien Fontaine
- Topics
- Computational Drug Discovery Methods (14 papers)Analytical Chemistry and Chromatography (5 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Journals
- Journal of Chemical Information and ModelingChemistry Central JournalSAR and QSAR in environmental research
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Yu. V. Borodina
23 papers receiving 777 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 428
- Molecular Biology 342
- Organic Chemistry 234
- Pharmacology 134
- Pharmacology 102
Countries citing papers authored by Yu. V. Borodina
This map shows the geographic impact of Yu. V. Borodina'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 Yu. V. Borodina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. V. Borodina more than expected).
Fields of papers citing papers by Yu. V. Borodina
This network shows the impact of papers produced by Yu. V. Borodina. 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 Yu. V. Borodina. The network helps show where Yu. V. Borodina may publish in the future.
Co-authorship network of co-authors of Yu. V. Borodina
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. V. Borodina. A scholar is included among the top collaborators of Yu. V. Borodina 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 Yu. V. Borodina. Yu. V. Borodina 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 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 51 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 27 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 25 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 198 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 4 |
About Yu. V. Borodina
Yu. V. Borodina is a scholar working on Computational Theory and Mathematics, Pharmacology and General Materials Science, having authored 29 papers that have together received 822 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Analytical Chemistry and Chromatography (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (428 citations), Pharmacology (134 citations) and Organic Chemistry (234 citations). Yu. V. Borodina has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Vladimir Poroikov, Dmitry Filimonov, Alexey A. Lagunin, Tatyana A. Gloriozova, Alexander J. Kos, Marc C. Nicklaus, Wolf‐Dietrich Ihlenfeldt, Fabien Fontaine, Evan Bolton and Stephen H. Bryant. Their work appears in journals such as Journal of Chemical Information and Modeling, Chemistry Central Journal and SAR and QSAR in environmental 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.