Timur Gimadiev

859 total citations
31 papers, 561 citations indexed

About

Timur Gimadiev is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Timur Gimadiev has authored 31 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 17 papers in Materials Chemistry and 12 papers in Molecular Biology. Recurrent topics in Timur Gimadiev's work include Computational Drug Discovery Methods (21 papers), Machine Learning in Materials Science (17 papers) and Metal complexes synthesis and properties (5 papers). Timur Gimadiev is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Machine Learning in Materials Science (17 papers) and Metal complexes synthesis and properties (5 papers). Timur Gimadiev collaborates with scholars based in Russia, France and Japan. Timur Gimadiev's co-authors include Alexandre Varnek, Timur Madzhidov, Ramil Nugmanov, Igor I. Baskin, Pavel Sidorov, Damir A. Safin, Maria G. Babashkina, И. С. Антипин, Gilles Marcou and F.D. Sokolov and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Timur Gimadiev

28 papers receiving 560 citations

Peers

Countries citing papers authored by Timur Gimadiev

Since Specialization

Citations

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

Fields of papers citing papers by Timur Gimadiev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timur Gimadiev. 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 Timur Gimadiev. The network helps show where Timur Gimadiev may publish in the future.

Co-authorship network of co-authors of Timur Gimadiev

This figure shows the co-authorship network connecting the top 25 collaborators of Timur Gimadiev. A scholar is included among the top collaborators of Timur Gimadiev 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 Timur Gimadiev. Timur Gimadiev 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	DOPtools: a Python platform for descriptor calculation and model optimization 2025 ·Digital Discovery ·Said Byadi, (unknown), Timur Gimadiev, Pavel Sidorov	0
2	Game Changer in Chemical Reagents Design for Upstream Applications: From Long-Term Laboratory Studies to Digital Factory Based On AI 2024 ·(unknown), Timur Gimadiev, (unknown), Mikhail A. Varfolomeev	0
3	Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors** 2023 ·Angewandte Chemie ·Nobuya Tsuji, Pavel Sidorov, Chendan Zhu, Yuuya Nagata, Timur Gimadiev, Alexandre Varnek, Benjamin List	0
4	Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors** 2023 ·Angewandte Chemie International Edition ·Nobuya Tsuji, Pavel Sidorov, Chendan Zhu, Yuuya Nagata, Timur Gimadiev, Alexandre Varnek, Benjamin List	36
5	Generative model based on junction tree variational autoencoder for HOMO value prediction and molecular optimization 2023 ·Journal of Cheminformatics ·(unknown), Marian Dryzhakov, Timur Gimadiev, (unknown)	8
6	Combined Graph/Relational Database Management System for Calculated Chemical Reaction Pathway Data 2021 ·Journal of Chemical Information and Modeling ·Timur Gimadiev, Ramil Nugmanov, (unknown), Timur Madzhidov, Satoshi Maeda, Pavel Sidorov, Alexandre Varnek	10
7	CGRdb2.0: A Python Database Management System for Molecules, Reactions, and Chemical Data 2021 ·Journal of Chemical Information and Modeling ·Timur Gimadiev, Ramil Nugmanov, (unknown), (unknown), Timur Madzhidov, Pavel Sidorov, Alexandre Varnek	7
8	Cross-validation strategies in QSPR modelling of chemical reactions 2021 ·SAR and QSAR in environmental research ·(unknown), (unknown), (unknown), Ramil Nugmanov, Timur Gimadiev, Timur Madzhidov, Igor I. Baskin, Alexandre Varnek	14
9	Discovery of novel chemical reactions by deep generative recurrent neural network 2021 ·Scientific Reports ·(unknown), Igor I. Baskin, Timur Gimadiev, (unknown), Ramil Nugmanov, Pavel Sidorov, Gilles Marcou, Dragos Horvath, Olga Klimchuk, Timur Madzhidov, Alexandre Varnek	55
10	Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies 2021 ·Molecular Informatics ·Arkadii Lin, Natalia Dyubankova, Timur Madzhidov, Ramil Nugmanov, Jonas Verhoeven, Timur Gimadiev, (unknown), (unknown), (unknown), Pavel Sidorov, (unknown), (unknown), (unknown), Jörg K. Wegner, Hugo Ceulemans, Alexandre Varnek	34
11	CGRtools: Python Library for Molecule, Reaction, and Condensed Graph of Reaction Processing 2019 ·Journal of Chemical Information and Modeling ·Ramil Nugmanov, (unknown), (unknown), Timur Gimadiev, (unknown), Timur Madzhidov, Alexandre Varnek	49
12	Sydnone-alkyne cycloaddition: Which factors are responsible for reaction rate ? 2019 ·Journal of Molecular Structure ·Timur Gimadiev, Olga Klimchuk, Ramil Nugmanov, Timur Madzhidov, Alexandre Varnek	6
13	Conjugated Quantitative Structure–Property Relationship Models: Application to Simultaneous Prediction of Tautomeric Equilibrium Constants and Acidity of Molecules 2019 ·Journal of Chemical Information and Modeling ·(unknown), Timur Madzhidov, (unknown), Timur Gimadiev, Ramil Nugmanov, (unknown), Igor I. Baskin, Alexandre Varnek	5
14	Predictive Models for Kinetic Parameters of Cycloaddition Reactions 2018 ·Molecular Informatics ·(unknown), Timur Madzhidov, Dragos Horvath, Ramil Nugmanov, Timur Gimadiev, (unknown), Gilles Marcou, Alexandre Varnek	28
15	Bimolecular Nucleophilic Substitution Reactions: Predictive Models for Rate Constants and Molecular Reaction Pairs Analysis 2018 ·Molecular Informatics ·Timur Gimadiev, Timur Madzhidov, Igor V. Tetko, Ramil Nugmanov, (unknown), Olga Klimchuk, (unknown), Pavel Polishchuk, И. С. Антипин, Alexandre Varnek	26
16	Visualization and Analysis of Complex Reaction Data: The Case of Tautomeric Equilibria 2018 ·Molecular Informatics ·(unknown), Timur Madzhidov, Igor I. Baskin, Dragos Horvath, Ramil Nugmanov, Timur Gimadiev, Gilles Marcou, Alexandre Varnek	7
17	Assessment of tautomer distribution using the condensed reaction graph approach 2018 ·Journal of Computer-Aided Molecular Design ·Timur Gimadiev, Timur Madzhidov, Ramil Nugmanov, Igor I. Baskin, И. С. Антипин, Alexandre Varnek	19
18	Structure–reactivity modeling using mixture-based representation of chemical reactions 2017 ·Journal of Computer-Aided Molecular Design ·Pavel Polishchuk, Timur Madzhidov, Timur Gimadiev, (unknown), Ramil Nugmanov, Alexandre Varnek	22
19	Complexes of N‐Thiophosphorylthiourea tBuNHC(S)NHP(S)(OiPr)₂ with Zinc(II), Cadmium(II), Nickel(II), and Cobalt(II) Cations 2008 ·Zeitschrift für anorganische und allgemeine Chemie ·Damir A. Safin, F.D. Sokolov, Timur Gimadiev, Vasiliy V. Brusko, Maria G. Babashkina, (unknown), (unknown), I.А. Litvinov	27
20	Monodentate S-vs. bidentate 1,5-O,S-coordination of N-phosphoryl-N′-(R)-thioureas with Pd(II) 2008 ·Polyhedron ·Damir A. Safin, F.D. Sokolov, Łukasz Szyrwiel, В. С. Баранов, Maria G. Babashkina, Timur Gimadiev, Henryk Kozłowski	8

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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