Dmitry S. Karlov

769 citations
37 papers · 532 indexed · h-index 16
Topics
Neuroscience and Neuropharmacology Research (17 papers)Computational Drug Discovery Methods (12 papers)Free Radicals and Antioxidants (7 papers)
Journals
SHILAP Revista de lepidopterologíaBiochemical and Biophysical Research CommunicationsMolecules

In The Last Decade

Dmitry S. Karlov

36 papers receiving 513 citations

Peers

Dmitry S. Karlov
Comparison fields: 5 of 84
  • Molecular Biology 254
  • Computational Theory and Mathematics 220
  • Cellular and Molecular Neuroscience 138
  • Organic Chemistry 116
  • Materials Chemistry 102
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Munikumar Reddy Doddareddy South Korea
Elizabeth Joshi United States
Soheila Anzali Germany
Spencer S. Ericksen United States
Annalisa De Palma Italy
Heinrich Meier Germany
Marlene T. Kim United States
Marija R. Popović-Nikolić Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry S. Karlov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dmitry S. Karlov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry S. Karlov. A scholar is included among the top collaborators of Dmitry S. Karlov 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 Dmitry S. Karlov. Dmitry S. Karlov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 4
3 2
4 0
5 12
6 22
7 2
8 15
9 68
10 19
11 8
12 17
13 5
14 22
15 32
16 13
17 2
18 1
19 2
20 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) and Free Radicals and Antioxidants (7 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.

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