Eugene Kirillov
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Biomedical Engineering
- Pharmacology top 5%
- Genetics
- Co-authors
- Tatiana NikolskayaSean EkinsYuri NikolskyAndrej BugrimA.D. MirzabekovEugene A. RakhmatulinV. E. BarskyIvan E. Ivanov
- Topics
- Computational Drug Discovery Methods (5 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Microbiology
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Eugene Kirillov
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 765
- Computational Theory and Mathematics 218
- Biomedical Engineering 140
- Pharmacology 124
- Genetics 86
Countries citing papers authored by Eugene Kirillov
This map shows the geographic impact of Eugene Kirillov'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 Eugene Kirillov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Kirillov more than expected).
Fields of papers citing papers by Eugene Kirillov
This network shows the impact of papers produced by Eugene Kirillov. 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 Eugene Kirillov. The network helps show where Eugene Kirillov may publish in the future.
Co-authorship network of co-authors of Eugene Kirillov
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Kirillov. A scholar is included among the top collaborators of Eugene Kirillov 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 Eugene Kirillov. Eugene Kirillov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 74 | |
| 3 | 11 | |
| 4 | 109 | |
| 5 | 200 | |
| 6 | 64 | |
| 7 | 85 | |
| 8 | 5 | |
| 9 | 41 | |
| 10 | 64 | |
| 11 | 31 | |
| 12 | 43 | |
| 13 | 45 | |
| 14 | 311 | |
| 15 | 4 |
About Eugene Kirillov
Eugene Kirillov is a scholar working on Pharmacology, Computational Theory and Mathematics and Gastroenterology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (124 citations), Computational Theory and Mathematics (218 citations) and Molecular Biology (765 citations). Eugene Kirillov has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Tatiana Nikolskaya, Sean Ekins, Yuri Nikolsky, Andrej Bugrim, A.D. Mirzabekov, Eugene A. Rakhmatulin, V. E. Barsky, Ivan E. Ivanov, Svetlana Dubiley and Dmitry Guschin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Microbiology.
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.