Anton V. Sinitskiy

840 total citations
21 papers, 553 citations indexed

About

Anton V. Sinitskiy is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Anton V. Sinitskiy has authored 21 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Anton V. Sinitskiy's work include Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Anton V. Sinitskiy is often cited by papers focused on Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Anton V. Sinitskiy collaborates with scholars based in United States, Germany and Russia. Anton V. Sinitskiy's co-authors include Gregory A. Voth, James F. Dama, David A. Mazziotti, Loren Greenman, Vijay S. Pande, Benoı̂t Roux, Aaron R. Dinner, Martin McCullagh, Jonathan Weare and Marissa G. Saunders and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Anton V. Sinitskiy

21 papers receiving 551 citations

Peers

Anton V. Sinitskiy

AMPO

CMP

Sebastian Fiedler Germany

Brenda M. Rubenstein United States

Izabela Stroe United States

Kambiz M. Hamadani United States

Tâp Ha‐Duong France

Rajesh K. Murarka India

Tihamér Geyer Germany

Prabhakar Bhimalapuram India

Cheolhee Yang South Korea

George Stan United States

Sebastian Fiedler Germany

Anton V. Sinitskiy

427 ×1.5

145 ×0.6

153 ×0.9

AMPO

45 ×0.8

75 ×1.5

CMP

Citations per year, relative to Anton V. Sinitskiy Anton V. Sinitskiy (= 1×) peers Sebastian Fiedler

Countries citing papers authored by Anton V. Sinitskiy

Since Specialization

Citations

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

Fields of papers citing papers by Anton V. Sinitskiy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton V. Sinitskiy. 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 Anton V. Sinitskiy. The network helps show where Anton V. Sinitskiy may publish in the future.

Co-authorship network of co-authors of Anton V. Sinitskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Anton V. Sinitskiy. A scholar is included among the top collaborators of Anton V. Sinitskiy 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 Anton V. Sinitskiy. Anton V. Sinitskiy 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

Bondar, Vladimir S., et al.. (2025). Fe‐Triazolate Metal–Organic Frameworks as Water Oxidation Catalysts with Dual Photoanode Functionality. Angewandte Chemie International Edition. 64(40). e202513556–e202513556. 1 indexed citations

King‐Smith, Emma, Felix A. Faber, Usa Reilly, et al.. (2024). Predictive Minisci late stage functionalization with transfer learning. Nature Communications. 15(1). 426–426. 18 indexed citations

Tysinger, Emma, K. Brajesh, & Anton V. Sinitskiy. (2023). Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?. Journal of Chemical Information and Modeling. 63(6). 1734–1744. 12 indexed citations

Feng, Chi-Jui, Anton V. Sinitskiy, Vijay S. Pande, & Andrei Tokmakoff. (2021). Computational IR Spectroscopy of Insulin Dimer Structure and Conformational Heterogeneity. The Journal of Physical Chemistry B. 125(18). 4620–4633. 13 indexed citations

Sinitskiy, Anton V. & Vijay S. Pande. (2018). Computer Simulations Predict High Structural Heterogeneity of Functional State of NMDA Receptors. Biophysical Journal. 115(5). 841–852. 7 indexed citations

Subedi, Ganesh P., et al.. (2018). Intradomain Interactions in an NMDA Receptor Fragment Mediate N-Glycan Processing and Conformational Sampling. Structure. 27(1). 55–65.e3. 8 indexed citations

Sinitskiy, Anton V. & Gregory A. Voth. (2018). Quantum mechanics/coarse-grained molecular mechanics (QM/CG-MM). The Journal of Chemical Physics. 148(1). 14102–14102. 13 indexed citations

Sinitskiy, Anton V. & Vijay S. Pande. (2018). Theoretical restrictions on longest implicit time scales in Markov state models of biomolecular dynamics. The Journal of Chemical Physics. 148(4). 2 indexed citations

Sinitskiy, Anton V., Nathaniel Stanley, David H. Hackos, et al.. (2017). Computationally Discovered Potentiating Role of Glycans on NMDA Receptors. Scientific Reports. 7(1). 44578–44578. 23 indexed citations

10.

Madsen, Jesper J., Anton V. Sinitskiy, Jianing Li, & Gregory A. Voth. (2017). Highly Coarse-Grained Representations of Transmembrane Proteins. Journal of Chemical Theory and Computation. 13(2). 935–944. 19 indexed citations

11.

Sinitskiy, Anton V. & Vijay S. Pande. (2017). Simulated Dynamics of Glycans on Ligand-Binding Domain of NMDA Receptors Reveals Strong Dynamic Coupling between Glycans and Protein Core. Journal of Chemical Theory and Computation. 13(11). 5496–5505. 14 indexed citations

12.

Hocky, Glen M., Joseph L. Baker, Michael J. Bradley, et al.. (2016). Cations Stiffen Actin Filaments by Adhering a Key Structural Element to Adjacent Subunits. The Journal of Physical Chemistry B. 120(20). 4558–4567. 37 indexed citations

13.

Sinitskiy, Anton V. & Gregory A. Voth. (2015). A reductionist perspective on quantum statistical mechanics: Coarse-graining of path integrals. The Journal of Chemical Physics. 143(9). 94104–94104. 13 indexed citations

14.

Davtyan, Aram, James F. Dama, Anton V. Sinitskiy, & Gregory A. Voth. (2014). The Theory of Ultra-Coarse-Graining. 2. Numerical Implementation. Journal of Chemical Theory and Computation. 10(12). 5265–5275. 57 indexed citations

15.

Jang, Seogjoo, Anton V. Sinitskiy, & Gregory A. Voth. (2014). Can the ring polymer molecular dynamics method be interpreted as real time quantum dynamics?. The Journal of Chemical Physics. 140(15). 29 indexed citations

16.

Sinitskiy, Anton V. & Gregory A. Voth. (2013). Coarse-graining of proteins based on elastic network models. Chemical Physics. 422. 165–174. 19 indexed citations

17.

Dama, James F., Anton V. Sinitskiy, Martin McCullagh, et al.. (2013). The Theory of Ultra-Coarse-Graining. 1. General Principles. Journal of Chemical Theory and Computation. 9(5). 2466–2480. 133 indexed citations

18.

Sinitskiy, Anton V., Marissa G. Saunders, & Gregory A. Voth. (2012). Optimal Number of Coarse-Grained Sites in Different Components of Large Biomolecular Complexes. The Journal of Physical Chemistry B. 116(29). 8363–8374. 49 indexed citations

19.

Sinitskiy, Anton V., Andrei L. Tchougréeff, & Richard Dronskowski. (2011). Phenomenological model of spin crossover in molecular crystals as derived from atom–atom potentials. Physical Chemistry Chemical Physics. 13(29). 13238–13238. 7 indexed citations

20.

Sinitskiy, Anton V., Andrei L. Tchougréeff, Andrey M. Tokmachev, & Richard Dronskowski. (2009). Modeling molecular crystals formed by spin-active metal complexes by atom–atom potentials. Physical Chemistry Chemical Physics. 11(46). 10983–10983. 7 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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