Dmitry S. Karlov
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- Computational Drug Discovery Methods 12
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- Neuroscience and Neuropharmacology Research 17
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 6
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- Free Radicals and Antioxidants 7
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- Chemical Synthesis and Analysis 4
- Receptor Mechanisms and Signaling 4
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- Molecular Sensors and Ion Detection 4
- Analytical Chemistry and Chromatography 3
- Co-authors
- Maxim V. FedorovSergey SosninIgor V. TetkoVladimir A. PalyulinPetr PopovV. V. GrigorievChristophe MorisseauГ. М. Бутов
- Journals
- SHILAP Revista de lepidopterología (1 paper)Biochemical and Biophysical Research Communications (1 paper)Molecules (1 paper)
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Dmitry S. Karlov
36 papers receiving 513 citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 220
- Cellular and Molecular Neuroscience 138
- Biochemistry 48
- Organic Chemistry 116
- Molecular Biology 254
Countries citing papers authored by Dmitry S. Karlov
This map shows the geographic impact of Dmitry S. Karlov'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 Dmitry S. Karlov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry S. Karlov more than expected).
Fields of papers citing papers by Dmitry S. Karlov
This network shows the impact of papers produced by Dmitry S. Karlov. 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 Dmitry S. Karlov. The network helps show where Dmitry S. Karlov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dmitry S. Karlov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 9 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 68 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 22 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 2 | |
| 20 | 2012 | 5 |
About Dmitry S. Karlov
Dmitry S. Karlov is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Computational Theory and Mathematics, having authored 37 papers that have together received 532 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Computational Drug Discovery Methods (12 papers), Free Radicals and Antioxidants (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Chemical Synthesis and Analysis (4 papers), Molecular Sensors and Ion Detection (4 papers), Receptor Mechanisms and Signaling (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Computational Theory and Mathematics (220 citations), Cellular and Molecular Neuroscience (138 citations) and Biochemistry (48 citations). Dmitry S. Karlov has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Maxim V. Fedorov, Sergey Sosnin, Igor V. Tetko, Vladimir A. Palyulin, Petr Popov, V. V. Grigoriev, Christophe Morisseau, Г. М. Бутов, Bruce D. Hammock and В. В. Бурмистров. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Molecules.
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.