Semen Yesylevskyy

2.9k total citations · 1 hit paper
81 papers, 2.2k citations indexed

About

Semen Yesylevskyy is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Semen Yesylevskyy has authored 81 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 16 papers in Materials Chemistry and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Semen Yesylevskyy's work include Lipid Membrane Structure and Behavior (26 papers), Protein Structure and Dynamics (23 papers) and Spectroscopy and Quantum Chemical Studies (9 papers). Semen Yesylevskyy is often cited by papers focused on Lipid Membrane Structure and Behavior (26 papers), Protein Structure and Dynamics (23 papers) and Spectroscopy and Quantum Chemical Studies (9 papers). Semen Yesylevskyy collaborates with scholars based in Ukraine, France and Czechia. Semen Yesylevskyy's co-authors include ‪Siewert J. Marrink, Durba Sengupta, Lars V. Schäfer, Christophe Ramseyer, Alexander P. Demchenko, Alan E. Mark, V. N. Kharkyanen, Andrey S. Klymchenko, Kyrylo Pyrshev and Sivaprasad Mitra and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Semen Yesylevskyy

79 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Polarizable Water Model for the Coarse-Grained MARTINI Force Field

2010 721 citations Semen Yesylevskyy, Durba Sengupta et al. profile →

Peers

Semen Yesylevskyy

AMPO

Clément Arnarez Netherlands

Djurre H. de Jong Netherlands

Jagannath Mondal India

Matti Javanainen Finland

Naveen Michaud‐Agrawal United States

Marco Fioroni Germany

Hector Martinez‐Seara Czechia

E. Prabhu Raman United States

Sébastien Buchoux France

Luís M. S. Loura Portugal

Clément Arnarez Netherlands

Semen Yesylevskyy

2.4k ×1.5

323 ×0.9

263 ×0.8

455 ×1.4

AMPO

235 ×0.9

Citations per year, relative to Semen Yesylevskyy Semen Yesylevskyy (= 1×) peers Clément Arnarez

Countries citing papers authored by Semen Yesylevskyy

Since Specialization

Citations

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

Fields of papers citing papers by Semen Yesylevskyy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Semen Yesylevskyy

This figure shows the co-authorship network connecting the top 25 collaborators of Semen Yesylevskyy. A scholar is included among the top collaborators of Semen Yesylevskyy 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 Semen Yesylevskyy. Semen Yesylevskyy 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

Yesylevskyy, Semen, et al.. (2025). Sampling and Ranking of Protein Conformations Using Machine Learning Techniques Do Not Improve the Quality of Rigid Protein–Protein Docking. Journal of Chemical Information and Modeling. 65(19). 10167–10179. 1 indexed citations

Bdzhola, Volodymyr G., et al.. (2024). Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets. RSC Advances. 14(2). 1341–1353. 6 indexed citations

Pyrshev, Kyrylo, et al.. (2024). Ticagrelor increases its own potency at the P2Y₁₂ receptor by directly changing the plasma membrane lipid order in platelets. British Journal of Pharmacology. 181(21). 4369–4380.

Krisanova, Natalia, Natalia Pozdnyakova, Artem Pastukhov, et al.. (2022). Amphiphilic anti-SARS-CoV-2 drug remdesivir incorporates into the lipid bilayer and nerve terminal membranes influencing excitatory and inhibitory neurotransmission. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(8). 183945–183945. 5 indexed citations

Lirussi, Frédéric, Kyrylo Pyrshev, Semen Yesylevskyy, et al.. (2022). Plasma membrane lipid bilayer is druggable: Selective delivery of gemcitabine-squalene nano-medicine to cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(2). 166614–166614. 4 indexed citations

Khan, Amira Sayed, Aziz Hichami, Babar Murtaza, et al.. (2022). Novel Fat Taste Receptor Agonists Curtail Progressive Weight Gain in Obese Male Mice. Cellular and Molecular Gastroenterology and Hepatology. 15(3). 633–663. 10 indexed citations

Yesylevskyy, Semen, et al.. (2021). Flexoelectric and Piezoelectric Coupling in a Bended MoS₂ Monolayer. SHILAP Revista de lepidopterología. 5 indexed citations

Hadi, Tarik, Christophe Ramseyer, Thomas Gautier, et al.. (2020). Lipoproteins LDL versus HDL as nanocarriers to target either cancer cells or macrophages. JCI Insight. 5(24). 7 indexed citations

Mougin, Julie, Semen Yesylevskyy, Claudie Bourgaux, et al.. (2019). Stacking as a Key Property for Creating Nanoparticles with Tunable Shape: The Case of Squalenoyl-Doxorubicin. ACS Nano. 13(11). 12870–12879. 10 indexed citations

10.

Yesylevskyy, Semen, et al.. (2019). Curvature increases permeability of the plasma membrane for ions, water and the anti-cancer drugs cisplatin and gemcitabine. Scientific Reports. 9(1). 17214–17214. 37 indexed citations

11.

Mura, Simona, Semen Yesylevskyy, Guillaume Bort, et al.. (2017). Conjugation of squalene to gemcitabine as unique approach exploiting endogenous lipoproteins for drug delivery. Nature Communications. 8(1). 15678–15678. 83 indexed citations

12.

Pyrshev, Kyrylo, Semen Yesylevskyy, Yves Mély, Alexander P. Demchenko, & Andrey S. Klymchenko. (2017). Caspase-3 activation decreases lipid order in the outer plasma membrane leaflet during apoptosis: A fluorescent probe study. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(10). 2123–2132. 22 indexed citations

13.

Yesylevskyy, Semen, Bruno Cardey, Sebastian Kraszewski, et al.. (2015). Empirical force field for cisplatin based on quantum dynamics data: case study of new parameterization scheme for coordination compounds. Journal of Molecular Modeling. 21(10). 268–268. 19 indexed citations

14.

Yesylevskyy, Semen & Christophe Ramseyer. (2014). Determination of mean and Gaussian curvatures of highly curved asymmetric lipid bilayers: the case study of the influence of cholesterol on the membrane shape. Physical Chemistry Chemical Physics. 16(32). 17052–17052. 29 indexed citations

15.

Marrink, ‪Siewert J., Marc Fuhrmans, Durba Sengupta, Semen Yesylevskyy, & Alan E. Mark. (2010). Simulation Studies of Peptide Induced Membrane Poration and Fusion. Biophysical Journal. 98(3). 435a–435a. 1 indexed citations

16.

Yesylevskyy, Semen. (2010). Identifying the Hierarchy of Dynamic Domains in Proteins Using the Data of Molecular Dynamics Simulations. Protein and Peptide Letters. 17(4). 507–516. 3 indexed citations

17.

Kharkyanen, V. N. & Semen Yesylevskyy. (2009). Theory of single-file multiparticle diffusion in narrow pores. Physical Review E. 80(3). 31118–31118. 5 indexed citations

18.

Yesylevskyy, Semen, V. N. Kharkyanen, & Alexander P. Demchenko. (2007). The blind search for the closed states of hinge‐bending proteins. Proteins Structure Function and Bioinformatics. 71(2). 831–843. 10 indexed citations

19.

Yesylevskyy, Semen & V. N. Kharkyanen. (2004). Hierarchy of Motions and Quasi-Particles in a Simplified Model of Potassium Channel Selectivity Filter. Journal of Biological Physics. 30(2). 187–201. 3 indexed citations

20.

Alagem, Noga, Semen Yesylevskyy, & Eitan Reuveny. (2003). The Pore Helix Is Involved in Stabilizing the Open State of Inwardly Rectifying K+ Channels. Biophysical Journal. 85(1). 300–312. 35 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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