А.В. Сулимов

1.0k total citations
54 papers, 682 citations indexed

About

А.В. Сулимов is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, А.В. Сулимов has authored 54 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 24 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in А.В. Сулимов's work include Computational Drug Discovery Methods (24 papers), Protein Structure and Dynamics (14 papers) and Enzyme Structure and Function (7 papers). А.В. Сулимов is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Protein Structure and Dynamics (14 papers) and Enzyme Structure and Function (7 papers). А.В. Сулимов collaborates with scholars based in Russia, Tajikistan and United States. А.В. Сулимов's co-authors include В. Б. Сулимов, Danil Kutov, E. V. Katkova, F. V. Grigoriev, Alexander V. Tikhonravov, О. А. Кондакова, A. N. Romanov, Х. С. Шихалиев, И. В. Кочиков and Е. Е. Тыртышников and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and The Journal of Physical Chemistry A.

In The Last Decade

А.В. Сулимов

51 papers receiving 646 citations

Peers

Countries citing papers authored by А.В. Сулимов

Since Specialization

Citations

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

Fields of papers citing papers by А.В. Сулимов

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А.В. Сулимов. 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 А.В. Сулимов. The network helps show where А.В. Сулимов may publish in the future.

Co-authorship network of co-authors of А.В. Сулимов

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Synthesis, antiviral activity against wild-type SARS-CoV-2 and molecular docking studies of new aryl(1,2-dithiolo[3,4-c]quinolin-1-ylidene)amines 2024 ·Journal of Sulfur Chemistry ·(unknown), (unknown), А.В. Сулимов, (unknown), Danil Kutov, Athina Geronikaki, Oleg V. Pyankov, Д. Н. Щербаков, (unknown), (unknown), (unknown), (unknown), (unknown), В. Б. Сулимов, Х. С. Шихалиев	0
2	Design, Synthesis, and Evaluation of New Hybrid Derivatives of 5,6-Dihydro-4H-pyrrolo[3,2,1-ij]quinolin-2(1H)-one as Potential Dual Inhibitors of Blood Coagulation Factors Xa and XIa 2024 ·Molecules ·(unknown), Athina Geronikaki, (unknown), А.В. Сулимов, (unknown), В. Б. Сулимов, (unknown), Н. А. Подоплелова, Oleg V. Pyankov, Х. С. Шихалиев	2
3	Molecular Docking of Chiral Drug Enantiomers With Different Bioactivities 2024 ·Chirality ·(unknown), (unknown), А.В. Сулимов, В. Б. Сулимов	1
4	Docking and other computing tools in drug design against SARS-CoV-2 2024 ·SAR and QSAR in environmental research ·А.В. Сулимов, (unknown), (unknown), (unknown), Danil Kutov, В. Б. Сулимов	2
5	Study of the anomalous behavior of the a-HFO₂ refractive index with increasing Si doping by quantum molecular dynamics simulation 2023 ·Journal of the Optical Society of America B ·В. Б. Сулимов, Danil Kutov, А.В. Сулимов, F. V. Grigoriev, Alexander V. Tikhonravov	0
6	Abstracts of XXVII Symposium "Bioinformatics and Computer-Aided Drug Discovery" 2021 ·Alexandre Varnek, Igor V. Tetko, Alexander Tropsha, Vladimir Poroikov, Roman G. Efremov, А.В. Сулимов, Oleg V. Pyankov, Х. С. Шихалиев, Danil Kutov, (unknown), (unknown), В. Б. Сулимов, (unknown), (unknown), (unknown), (unknown), Н. Л. Фролова, V. M. Shkumatov, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
7	Uncertainty modeling and analysis of the European X-ray free electron laser cavities manufacturing process 2020 ·Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ulrich Römer, (unknown), Sebastian Schöps, (unknown), А.В. Сулимов, Ursula van Rienen	6
8	Synthesis, Docking, and In Vitro Anticoagulant Activity Assay of Hybrid Derivatives of Pyrrolo[3,2,1-ij]Quinolin-2(1H)-one as New Inhibitors of Factor Xa and Factor XIa 2020 ·Molecules ·(unknown), (unknown), (unknown), А.В. Сулимов, Danil Kutov, (unknown), (unknown), Х. С. Шихалиев, (unknown), (unknown), Н. А. Подоплелова, В. Б. Сулимов	22
9	Docking Paradigm in Drug Design 2020 ·Current Topics in Medicinal Chemistry ·В. Б. Сулимов, Danil Kutov, (unknown), (unknown), Е. Е. Тыртышников, А.В. Сулимов	25
10	Modern methods for the development of new drugs that affect the hemostatic system 2019 ·Pediatric Hematology/Oncology and Immunopathology ·А.В. Сулимов, Danil Kutov, (unknown), (unknown), Н. А. Подоплелова, Mikhail A. Panteleev, (unknown), Х. С. Шихалиев, В. Б. Сулимов	2
11	New factor Xa inhibitors based on 1,2,3,4-tetrahydroquinoline developed by molecular modelling 2019 ·Journal of Molecular Graphics and Modelling ·(unknown), (unknown), А.В. Сулимов, Danil Kutov, Х. С. Шихалиев, A. Yu. Potapov, (unknown), Федор И. Зубков, (unknown), (unknown), В. Б. Сулимов	17
12	Development of docking programs for Lomonosov supercomputer 2019 ·SHILAP Revista de lepidopterología ·В. Б. Сулимов, (unknown), Danil Kutov, А.В. Сулимов	15
13	Prediction of features of the course of chronic hepatitis C using Bayesian networks 2019 ·SHILAP Revista de lepidopterología ·L. М. Samokhodskaya, (unknown), А.В. Сулимов, (unknown), (unknown), (unknown), (unknown), В. Б. Сулимов, Н А Мухин, Tkachuk Va, В. А. Садовничий	2
14	Combined Docking with Classical Force Field and Quantum Chemical Semiempirical Method PM7 2017 ·PubMed ·А.В. Сулимов, Danil Kutov, E. V. Katkova, В. Б. Сулимов	39
15	Influence of the Method of Hydrogen Atoms Incorporation Into the Target Protein on the Protein-Ligand Binding Energy 2017 ·Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software ·Danil Kutov, E. V. Katkova, А.В. Сулимов, О. А. Кондакова, В. Б. Сулимов	15
16	New generation of docking programs: Supercomputer validation of force fields and quantum-chemical methods for docking 2017 ·Journal of Molecular Graphics and Modelling ·А.В. Сулимов, Danil Kutov, E. V. Katkova, (unknown), В. Б. Сулимов	35
17	Evaluation of the novel algorithm of flexible ligand docking with moveable target-protein atoms 2017 ·Computational and Structural Biotechnology Journal ·А.В. Сулимов, (unknown), (unknown), Danil Kutov, E. V. Katkova, Е. Е. Тыртышников, В. Б. Сулимов	16
18	The prediction of specific humoral immune responses using the baseline immune status parametres in children, vaccinated with measles-mumps-rubella vaccine 2015 ·Immunologiya ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), А.В. Сулимов, (unknown), Gennady Bocharov	1
19	Genome-Wide Analysis of Genetic Associations for Prediction of Polygenic Hypercholesterolemia with Bayesian Networks 2015 ·А.В. Сулимов, А. Н. Мешков, (unknown), (unknown), Danil Kutov, (unknown), (unknown), В. В. Кухарчук, В. Б. Сулимов	1
20	Evaluation of the Docking Algorithm Based on Tensor Train Global Pptimization 2015 ·Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software ·(unknown), (unknown), Е. Е. Тыртышников, А.В. Сулимов, Danil Kutov, В. Б. Сулимов	9

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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