Igor N. Berezovsky

5.2k total citations
89 papers, 3.8k citations indexed

About

Igor N. Berezovsky is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Igor N. Berezovsky has authored 89 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 40 papers in Materials Chemistry and 17 papers in Computational Theory and Mathematics. Recurrent topics in Igor N. Berezovsky's work include Protein Structure and Dynamics (67 papers), Enzyme Structure and Function (39 papers) and RNA and protein synthesis mechanisms (34 papers). Igor N. Berezovsky is often cited by papers focused on Protein Structure and Dynamics (67 papers), Enzyme Structure and Function (39 papers) and RNA and protein synthesis mechanisms (34 papers). Igor N. Berezovsky collaborates with scholars based in Singapore, Israel and Norway. Igor N. Berezovsky's co-authors include Enrico Guarnera, Eugene I. Shakhnovich, Edward N. Trifonov, Alexander Goncearenco, Wei-Ven Tee, Konstantin B. Zeldovich, Simon Mitternacht, Zhen Wah Tan, Igor V. Kurochkin and Dan S. Tawfik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Igor N. Berezovsky

88 papers receiving 3.7k citations

Peers

Igor N. Berezovsky

CTM

GENET

SPECT

Kam Y. J. Zhang Japan

Orly Dym Israel

Diego U. Ferreiro Argentina

Vincent J. Hilser United States

Dimitri Gilis Belgium

Xiao Zhu United States

John J. Tanner United States

Leo S. D. Caves United Kingdom

Akinori Sarai Japan

John Karanicolas United States

Kam Y. J. Zhang Japan

Igor N. Berezovsky

4.9k ×1.5

883 ×0.9

905 ×1.4

CTM

273 ×1.1

GENET

165 ×0.7

SPECT

Citations per year, relative to Igor N. Berezovsky Igor N. Berezovsky (= 1×) peers Kam Y. J. Zhang

Countries citing papers authored by Igor N. Berezovsky

Since Specialization

Citations

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

Fields of papers citing papers by Igor N. Berezovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor N. Berezovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Igor N. Berezovsky. A scholar is included among the top collaborators of Igor N. Berezovsky 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 Igor N. Berezovsky. Igor N. Berezovsky 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

Tee, Wei-Ven & Igor N. Berezovsky. (2025). Allosteric solution to the problems of undruggable targets, drug toxicity, and emerging resistance. Current Opinion in Structural Biology. 95. 103172–103172.

Tee, Wei-Ven & Igor N. Berezovsky. (2024). Allosteric drugs: New principles and design approaches. Current Opinion in Structural Biology. 84. 102758–102758. 25 indexed citations

Tan, Zhen Wah, et al.. (2023). Disrupted chromatin architecture in olfactory sensory neurons: looking for the link from COVID-19 infection to anosmia. Scientific Reports. 13(1). 5906–5906. 2 indexed citations

Tan, Zhen Wah, Wei-Ven Tee, Firdaus Samsudin, et al.. (2022). Allosteric perspective on the mutability and druggability of the SARS-CoV-2 Spike protein. Structure. 30(4). 590–607.e4. 27 indexed citations

Goncearenco, Alexander, et al.. (2021). Deriving and Using Descriptors of Elementary Functions in Rational Protein Design. Frontiers in Bioinformatics. 1. 657529–657529. 4 indexed citations

Tee, Wei-Ven, et al.. (2020). Synergistic Allostery in Multiligand-Protein Interactions. Biophysical Journal. 119(9). 1833–1848. 29 indexed citations

Tee, Wei-Ven, Enrico Guarnera, Zhen Wah Tan, & Igor N. Berezovsky. (2020). From Inducing Allosteric Signaling to Exploring the Allosteric Effect of SNPS and Allosteric Polymorphism. Biophysical Journal. 118(3). 51a–52a. 1 indexed citations

Berezovsky, Igor N.. (2019). Towards descriptor of elementary functions for protein design. Current Opinion in Structural Biology. 58. 159–165. 17 indexed citations

Guarnera, Enrico & Igor N. Berezovsky. (2016). Structure-Based Statistical Mechanical Model Accounts for the Causality and Energetics of Allosteric Communication. PLoS Computational Biology. 12(3). e1004678–e1004678. 108 indexed citations

10.

Berezovsky, Igor N., et al.. (2016). Basic units of protein structure, folding, and function. Progress in Biophysics and Molecular Biology. 128. 85–99. 39 indexed citations

11.

Guarnera, Enrico & Igor N. Berezovsky. (2015). Allosteric sites: remote control in regulation of protein activity. Current Opinion in Structural Biology. 37. 1–8. 122 indexed citations

12.

Goncearenco, Alexander & Igor N. Berezovsky. (2015). Protein function from its emergence to diversity in contemporary proteins. Physical Biology. 12(4). 45002–45002. 45 indexed citations

13.

Goncearenco, Alexander, et al.. (2013). SPACER: server for predicting allosteric communication and effects of regulation. Nucleic Acids Research. 41(W1). W266–W272. 88 indexed citations

14.

Koczyk, Grzegorz & Igor N. Berezovsky. (2008). Domain Hierarchy and closed Loops (DHcL): a server for exploring hierarchy of protein domain structure. Nucleic Acids Research. 36(suppl_2). W239–W245. 31 indexed citations

15.

Schneider, Georg, Georg Neuberger, Michael Wildpaner, et al.. (2006). Application of a sensitive collection heuristic for very large protein families: Evolutionary relationship between adipose triglyceride lipase (ATGL) and classic mammalian lipases. BMC Bioinformatics. 7(1). 164–164. 26 indexed citations

16.

Berezovsky, Igor N., et al.. (2003). Spelling Protein Structure. Journal of Biomolecular Structure and Dynamics. 21(3). 327–339. 19 indexed citations

17.

Berezovsky, Igor N., et al.. (2002). An Eye-Opener to Protein Structures. 1(1). 29–37. 4 indexed citations

18.

Berezovsky, Igor N., et al.. (2002). Closed loops: persistence of the protein chain returns. Protein Engineering Design and Selection. 15(12). 955–957. 14 indexed citations

19.

Lamarine, Marc, Jean‐Paul Mornon, Igor N. Berezovsky, & Jacques Chomilier. (2001). Distribution of tightened end fragments of globular proteins statistically matches that of topohydrophobic positions: towards an efficient punctuation of protein folding?. Cellular and Molecular Life Sciences. 58(3). 492–498. 32 indexed citations

20.

Berezovsky, Igor N., et al.. (1999). Amino acid composition of protein termini are biased in different manners. Protein Engineering Design and Selection. 12(1). 23–30. 36 indexed citations

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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