Daria A. Beshnova

402 total citations
12 papers, 280 citations indexed

About

Daria A. Beshnova is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Daria A. Beshnova has authored 12 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Daria A. Beshnova's work include Computational Drug Discovery Methods (3 papers), Antibiotic Resistance in Bacteria (3 papers) and RNA and protein synthesis mechanisms (3 papers). Daria A. Beshnova is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Antibiotic Resistance in Bacteria (3 papers) and RNA and protein synthesis mechanisms (3 papers). Daria A. Beshnova collaborates with scholars based in Germany, Ukraine and Russia. Daria A. Beshnova's co-authors include Yevhen Vainshtein, Vladimir B. Teif, Andrey G. Cherstvy, Karsten Rippe, Jan‐Philipp Mallm, Thomas Höfer, Maxim P. Evstigneev, Victor S. Lamzin, D.B. Davies and Alexander G. Majouga and has published in prestigious journals such as The Journal of Chemical Physics, Genome Research and PLoS Computational Biology.

In The Last Decade

Daria A. Beshnova

12 papers receiving 277 citations

Peers

Countries citing papers authored by Daria A. Beshnova

Since Specialization

Citations

This map shows the geographic impact of Daria A. Beshnova'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 Daria A. Beshnova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daria A. Beshnova more than expected).

Fields of papers citing papers by Daria A. Beshnova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daria A. Beshnova. 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 Daria A. Beshnova. The network helps show where Daria A. Beshnova may publish in the future.

Co-authorship network of co-authors of Daria A. Beshnova

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Scaffold hopping computational approach for searching novel β-lactamase inhibitors 2019 ·Biomeditsinskaya Khimiya ·Daria A. Beshnova, (unknown), (unknown), M. Yu. Rubtsova, (unknown), Joe Lewis, Victor S. Lamzin, А.М. Егоров	1
2	Synthesis, SAR and molecular docking study of novel non-β-lactam inhibitors of TEM type β-lactamase 2017 ·Bioorganic & Medicinal Chemistry Letters ·(unknown), Daria A. Beshnova, (unknown), (unknown), И. П. Андреева, G.M. Grigorenko, M. Yu. Rubtsova, Alexander G. Majouga, Victor S. Lamzin, А.М. Егоров	9
3	Estimation of the protein–ligand interaction energy for model building and validation 2017 ·Acta Crystallographica Section D Structural Biology ·Daria A. Beshnova, Joana Pereira, Victor S. Lamzin	11
4	Novel non-β-lactam inhibitor of β-lactamase TEM-171 based on acylated phenoxyaniline 2016 ·Biochimie ·G.M. Grigorenko, И. П. Андреева, M. Yu. Rubtsova, Irina M. Le‐Deygen, (unknown), Alexander G. Majouga, А.М. Егоров, Daria A. Beshnova, Juha P. Kallio, (unknown), Victor S. Lamzin	30
5	Regulation of the Nucleosome Repeat Length In Vivo by the DNA Sequence, Protein Concentrations and Long-Range Interactions 2014 ·PLoS Computational Biology ·Daria A. Beshnova, Andrey G. Cherstvy, Yevhen Vainshtein, Vladimir B. Teif	70
6	Nucleosome repositioning links DNA (de)methylation and differential CTCF binding during stem cell development 2014 ·Genome Research ·Vladimir B. Teif, Daria A. Beshnova, Yevhen Vainshtein, (unknown), Jan‐Philipp Mallm, Thomas Höfer, Karsten Rippe	105
7	Taking into account nucleosomes for predicting gene expression 2013 ·Methods ·Vladimir B. Teif, Fabian Erdel, Daria A. Beshnova, Yevhen Vainshtein, Jan‐Philipp Mallm, Karsten Rippe	19
8	Does the ligand‐biopolymer equilibrium binding constant depend on the number of bound ligands? 2010 ·Biopolymers ·Daria A. Beshnova, (unknown), Maxim P. Evstigneev	4
9	A novel computational approach “BP-STOCH” to study ligand binding to finite lattice 2010 ·Biopolymers ·Daria A. Beshnova, (unknown), (unknown), Maxim P. Evstigneev	2
10	Profiles of equilibrium constants for self-association of aromatic molecules 2009 ·The Journal of Chemical Physics ·Daria A. Beshnova, (unknown), D.B. Davies, Maxim P. Evstigneev	25
11	A “microscopic” model of complexation between intercalators and DNA: Analysis of NMR spectroscopy data 2008 ·BIOPHYSICS ·Maxim P. Evstigneev, Daria A. Beshnova, (unknown)	1
12	Estimation of the mean number of molecules in associates of aromatic compounds 2007 ·Russian Journal of Physical Chemistry A ·Daria A. Beshnova, Maxim P. Evstigneev	3

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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