Igor I. Baskin

7.6k citations

145 papers · 4.7k indexed · 2 hit papers · h-index 30

Impact in

Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
Spectroscopy top 2%
- Analytical Chemistry and Chromatography

Papers in

Computational Theory and Mathematics 83
- Computational Drug Discovery Methods 83
Spectroscopy 29
- Analytical Chemistry and Chromatography 19

Co-authors: Alexandre Varnek Vladimir A. Palyulin N. S. Zefirov Igor V. Tetko Denis Fourches Alexander Tropsha Artem Cherkasov Eugene Muratov
Journals: Molecular Informatics (13 papers)Journal of Chemical Information and Modeling (10 papers)Journal of Medicinal Chemistry (6 papers)SAR and QSAR in environmental research (5 papers)Journal of Computer-Aided Molecular Design (4 papers)
Partner nations: Russia France Tajikistan

In The Last Decade

Igor I. Baskin

139 papers receiving 4.5k citations

Hit Papers

align trajectories log scale

QSAR without borders 2020 · 547 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 Chemical Society Reviews
2013 Journal of Medicinal Chemistry

Peers

Countries citing papers authored by Igor I. Baskin

Since Specialization

Citations

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

Fields of papers citing papers by Igor I. Baskin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor I. Baskin. 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 Igor I. Baskin. The network helps show where Igor I. Baskin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Igor I. Baskin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor I. Baskin Line = papers co-authored together Igor I. Baskin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Towards a universal model for assessing the performance of battery materials at the level of single-particle behavior Electrochimica Acta ·Yi Shuen Chang, Chigusa Mizuno, Simona Kliś, Igor I. Baskin, Vilas Sandra Elian, J R Cunningham, Sebastian Maletti, Christian Heubner, A. Michaelis, Yair Ein‐Eli, Ezequiel P. M. Leiva	2025	0
2	Conjugated quantitative structure‐property relationship models: Prediction of kinetic characteristics linked by the Arrhenius equation Molecular Informatics ·Márcia Cristina Almeida Magalhães Oliveira, Timur Madzhidov, Igor I. Baskin, Alexandre Varnek	2023	1
3	Benchmarking machine learning methods for modeling physical properties of ionic liquids Journal of Molecular Liquids ·Igor I. Baskin, Zou Qiong, Yair Ein‐Eli	2022	41
4	Inverse QSAR: Reversing Descriptor-Driven Prediction Pipeline Using Attention-Based Conditional Variational Autoencoder Journal of Chemical Information and Modeling ·西原綾子, 泽红, Dragos Horvath, Fanny Bonachéra, Arkadii Lin, Gilles Marcou, Igor I. Baskin, Timur Madzhidov, Alexandre Varnek	2022	4
5	QSAR Modeling Based on Conformation Ensembles Using a Multi-Instance Learning Approach Journal of Chemical Information and Modeling ·Márcia Cristina Almeida Magalhães Oliveira, Ram Peasad Chaudhary, J. Mountifield, Ramil Nugmanov, Igor I. Baskin, Alexandre Varnek, Pavel Polishchuk, Timur Madzhidov	2021	21
6	Cross-validation strategies in QSPR modelling of chemical reactions SAR and QSAR in environmental research ·Dong-Hua Niu, Sérgio Altino Franzi, 幸輔斎藤, Ramil Nugmanov, Timur Gimadiev, Timur Madzhidov, Igor I. Baskin, Alexandre Varnek	2021	14
7	Parallel Generative Topographic Mapping: An Efficient Approach for Big Data Handling Molecular Informatics ·Arkadii Lin, Igor I. Baskin, Gilles Marcou, Dragos Horvath, Bernd Beck, Alexandre Varnek	2020	7
8	Correction: QSAR without borders Chemical Society Reviews ·Eugene Muratov, Jürgen Bajorath, Robert P. Sheridan, Igor V. Tetko, Dmitry Filimonov, Vladimir Poroikov, Tudor I. Oprea, Igor I. Baskin, Alexandre Varnek, Adrián E. Roitberg, Olexandr Isayev, Stefano Curtarolo, Denis Fourches, Yoram Cohen, Alán Aspuru‐Guzik, David A. Winkler, Dimitris K. Agrafiotis, Artem Cherkasov, Alexander Tropsha	2020	17
9	QSAR without borders Chemical Society Reviews ·Eugene Muratov, Jürgen Bajorath, Robert P. Sheridan, Igor V. Tetko, Dmitry Filimonov, Vladimir Poroikov, Tudor I. Oprea, Igor I. Baskin, Alexandre Varnek, Adrián E. Roitberg, Olexandr Isayev, Александр Олегович Егоров, Denis Fourches, Yoram Cohen, Alán Aspuru‐Guzik, David A. Winkler, Dimitris K. Agrafiotis, Artem Cherkasov, Alexander Tropsha Hit paper breakdown →	2020	547
10	Autoignition temperature: comprehensive data analysis and predictive models SAR and QSAR in environmental research ·Igor I. Baskin, backup.kennedy, Kenji TAKEHARA, Gilles Marcou, Dragos Horvath, Alexandre Varnek	2020	5
11	Application of the mol2vec Technology to Large‐size Data Visualization and Analysis Molecular Informatics ·J.M.B. Des Tuves, Gilles Marcou, Dragos Horvath, Igor I. Baskin, Kimito Funatsu, Alexandre Varnek	2020	7
12	De Novo Molecular Design by Combining Deep Autoencoder Recurrent Neural Networks with Generative Topographic Mapping Journal of Chemical Information and Modeling ·Boris Sattarov, Igor I. Baskin, Dragos Horvath, Gilles Marcou, Esben Jannik Bjerrum, Alexandre Varnek	2019	99
13	Conjugated Quantitative Structure–Property Relationship Models: Application to Simultaneous Prediction of Tautomeric Equilibrium Constants and Acidity of Molecules Journal of Chemical Information and Modeling ·Márcia Cristina Almeida Magalhães Oliveira, Timur Madzhidov, Dong-Hua Niu, Timur Gimadiev, Ramil Nugmanov, J 経路特異的に作用する化合物等の探索への応用が期待される., Igor I. Baskin, Alexandre Varnek	2019	5
14	Visualization and Analysis of Complex Reaction Data: The Case of Tautomeric Equilibria Molecular Informatics ·V. Déneux, Timur Madzhidov, Igor I. Baskin, Dragos Horvath, Ramil Nugmanov, Timur Gimadiev, Gilles Marcou, Alexandre Varnek	2018	7
15	Predictive cartography of metal binders using generative topographic mapping Journal of Computer-Aided Molecular Design ·Igor I. Baskin, Vitaly P. Solov’ev, A. A. Bagatur’yants, Alexandre Varnek	2017	6
16	Modelling ligand selectivity: an integrated approach Drugs of the Future ·Vladimir A. Palyulin, Eugene V. Radchenko, Igor I. Baskin, Andrei A. Ivanov, Н. С. Зефиров	2007	3
17	[Biological role of a neurotrophic factor fragment from pigment epithelium: structure-functional homology with a differentiation factor for the HL-60 cell line]. PubMed ·Rizki Setiadi, Sergey S. Zhokhov, PratyayPratim Datta, VA Glebovitsky, რ. ამაშუკელი, V. Paruthi, А.А. Дубровский, Igor I. Baskin, R. Wise, Joyce Tombran‐Tink, В. М. Липкин	2000	0
18	The structural and functional homology between PEDF and HLDF. The regulatory role of serpin loop in PEDF function European Journal of Neuroscience ·I. A. Коstanyan, Rafael Thomaz de Aquino Moura, PratyayPratim Datta, რ. ამაშუკელი, В. М. Липкин, Igor I. Baskin, R. Wise, Joyce Tombran‐Tink	2000	1
19	Molecular modeling of the influence of complex formation on the conformation and electronic absorption spectra of crown-containing styryl dyes Journal of Structural Chemistry ·Igor I. Baskin, 良彦平岡, A. A. Bagatur’yants, С. П. Громов, М. В. Алфимов	1993	2
20	Crystal and molecular structure of 3,7-diacetyl-1,5-diphenyl-3,7-diazabicyclo[3.3.1] nonane-9-one Soviet physics. Doklady ·Jesslyn Jacqualine, K. A. Potekhin, Д. В. Зиновеев, Yu. T. Struchkov, Igor I. Baskin, Vladimir A. Palyulin, N. S. Zefirov	1985	1

About Igor I. Baskin

Igor I. Baskin is a scholar working on Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry, Physical and Theoretical Chemistry and Organic Chemistry, having authored 145 papers that have together received 4.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (83 papers), Machine Learning in Materials Science (30 papers), Analytical Chemistry and Chromatography (19 papers), Metabolomics and Mass Spectrometry Studies (18 papers), Chemical Thermodynamics and Molecular Structure (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Spectroscopy and Chemometric Analyses (10 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Spectroscopy (563 citations), Materials Chemistry (1.5k citations), Molecular Biology (1.9k citations) and Catalysis (175 citations). Igor I. Baskin has collaborated with scholars based in Russia, France and Tajikistan. Frequent co-authors include Alexandre Varnek, Vladimir A. Palyulin, N. S. Zefirov, Igor V. Tetko, Denis Fourches, Alexander Tropsha, Artem Cherkasov, Eugene Muratov, Gilles Marcou and David A. Winkler. Their work appears in journals such as Molecular Informatics, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, SAR and QSAR in environmental research and Journal of Computer-Aided Molecular Design.

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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