Lev Sarkisov

6.0k total citations · 2 hit papers
91 papers, 4.9k citations indexed

About

Lev Sarkisov is a scholar working on Materials Chemistry, Inorganic Chemistry and Biomedical Engineering. According to data from OpenAlex, Lev Sarkisov has authored 91 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 34 papers in Inorganic Chemistry and 33 papers in Biomedical Engineering. Recurrent topics in Lev Sarkisov's work include Phase Equilibria and Thermodynamics (27 papers), Metal-Organic Frameworks: Synthesis and Applications (23 papers) and Carbon Dioxide Capture Technologies (15 papers). Lev Sarkisov is often cited by papers focused on Phase Equilibria and Thermodynamics (27 papers), Metal-Organic Frameworks: Synthesis and Applications (23 papers) and Carbon Dioxide Capture Technologies (15 papers). Lev Sarkisov collaborates with scholars based in United Kingdom, United States and Switzerland. Lev Sarkisov's co-authors include P. A. Monson, Alex G. Harrison, Randall Q. Snurr, Tina Düren, Omar M. Yaghi, Stefano Brandani, Amir H. Farmahini, Paraskevi Gkeka, Édouard Kierlik and M. L. Rosinberg and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Lev Sarkisov

91 papers receiving 4.8k citations

Hit Papers

Design of New Materials for Methane Storage 2004 2026 2011 2018 2004 2011 200 400 600

Peers

Lev Sarkisov
Marcus G. Martin United States
D. D. Australia
Nigel A. Seaton United Kingdom
Tom K. Woo Canada
Lev Sarkisov
Citations per year, relative to Lev Sarkisov Lev Sarkisov (= 1×) peers Aziz Ghoufi

Countries citing papers authored by Lev Sarkisov

Since Specialization
Citations

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

Fields of papers citing papers by Lev Sarkisov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lev Sarkisov

This figure shows the co-authorship network connecting the top 25 collaborators of Lev Sarkisov. A scholar is included among the top collaborators of Lev Sarkisov 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 Lev Sarkisov. Lev Sarkisov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ghasemi, Mehdi, Lev Sarkisov, Peter M. Budd, & Masoud Babaei. (2025). Advanced insights into the role of interfacial defect morphology in mixed matrix membrane gas transport. Journal of Membrane Science. 723. 123883–123883. 3 indexed citations
2.
Sarkisov, Lev, et al.. (2025). Inverse design of metal-organic frameworks using deep dreaming approaches. Nature Communications. 16(1). 4806–4806. 6 indexed citations
3.
Ghasemi, Mehdi, et al.. (2024). Shape engineering for improved gas separation: Computation-driven insights on harnessing platonic particles in mixed-matrix membranes. Journal of Membrane Science. 702. 122793–122793. 2 indexed citations
4.
Sarkisov, Lev, et al.. (2024). Engineering Machine Learning Features to Predict Adsorption of Carbon Dioxide and Nitrogen in Metal–Organic Frameworks. The Journal of Physical Chemistry C. 128(24). 10202–10215. 11 indexed citations
5.
Oliveira, Felipe Lopes, Rodrigo Neumann Barros Ferreira, Amir H. Farmahini, et al.. (2023). A process-level perspective of the impact of molecular force fields on the computational screening of MOFs for carbon capture. Energy & Environmental Science. 16(9). 3899–3918. 17 indexed citations
6.
Angelis, María Grazia De, et al.. (2023). Simple lattice model explains equilibrium separation phenomena in glassy polymers. The Journal of Chemical Physics. 159(5). 1 indexed citations
7.
Sarkisov, Lev, et al.. (2023). Unveiling the synthesis patterns of nanomaterials: a text mining and meta-analysis approach with ZIF-8 as a case study. Digital Discovery. 2(6). 1783–1796. 6 indexed citations
8.
Oliveira, Felipe Lopes, Rodrigo Neumann Barros Ferreira, Binquan Luan, et al.. (2023). CRAFTED: An exploratory database of simulated adsorption isotherms of metal-organic frameworks. Scientific Data. 10(1). 230–230. 28 indexed citations
9.
Pouya, Ehsan Sadeghi, et al.. (2023). Enhanced Ch4‑N2 Separation Selectivity of Zeolite Y Via Cation Exchange with Ammonium Salts. SSRN Electronic Journal. 1 indexed citations
10.
Moosavi, Seyed Mohamad, Daniele Ongari, Elias Moubarak, et al.. (2022). A data-science approach to predict the heat capacity of nanoporous materials. Nature Materials. 21(12). 1419–1425. 85 indexed citations
11.
Angelikopoulos, Panagiotis, Lev Sarkisov, Zoe Cournia, & Paraskevi Gkeka. (2016). Self-assembly of anionic, ligand-coated nanoparticles in lipid membranes. Nanoscale. 9(3). 1040–1048. 50 indexed citations
12.
Brandani, Stefano, Enzo Mangano, & Lev Sarkisov. (2016). Net, excess and absolute adsorption and adsorption of helium. Adsorption. 22(2). 261–276. 83 indexed citations
13.
Gkeka, Paraskevi, Panagiotis Angelikopoulos, Lev Sarkisov, & Zoe Cournia. (2014). Membrane Partitioning of Anionic, Ligand-Coated Nanoparticles Is Accompanied by Ligand Snorkeling, Local Disordering, and Cholesterol Depletion. PLoS Computational Biology. 10(12). e1003917–e1003917. 65 indexed citations
14.
Sarkisov, Lev. (2012). Calculation and visualization of free energy barriers for several VOCs and TNT in HKUST-1. Physical Chemistry Chemical Physics. 14(44). 15438–15438. 13 indexed citations
15.
Sarkisov, Lev. (2012). Accessible Surface Area of Porous Materials: Understanding Theoretical Limits. Advanced Materials. 24(23). 3130–3133. 52 indexed citations
16.
Gkeka, Paraskevi & Lev Sarkisov. (2009). Interactions of Phospholipid Bilayers with Several Classes of Amphiphilic α-Helical Peptides: Insights from Coarse-Grained Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 114(2). 826–839. 50 indexed citations
17.
Pellicane, Giuseppe, G. C. SMITH, & Lev Sarkisov. (2008). Molecular Dynamics Characterization of Protein Crystal Contacts in Aqueous Solutions. Physical Review Letters. 101(24). 248102–248102. 33 indexed citations
18.
Kierlik, Édouard, P. A. Monson, M. L. Rosinberg, Lev Sarkisov, & Gilles Tarjus. (2001). Capillary Condensation in Disordered Porous Materials: Hysteresis versus Equilibrium Behavior. Physical Review Letters. 87(5). 55701–55701. 251 indexed citations
19.
Sarkisov, Lev & P. A. Monson. (2001). Lattice model of adsorption in disordered porous materials: Mean-field density functional theory and Monte Carlo simulations. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 11202–11202. 74 indexed citations
20.
Sarkisov, Lev & P. A. Monson. (2000). Computer simulations of phase equilibrium for a fluid confined in a disordered porous structure. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(6). 7231–7234. 56 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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