Flaviu Cipcigan

459 total citations
18 papers, 278 citations indexed

About

Flaviu Cipcigan is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Flaviu Cipcigan has authored 18 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Biomedical Engineering. Recurrent topics in Flaviu Cipcigan's work include Spectroscopy and Quantum Chemical Studies (5 papers), Phase Equilibria and Thermodynamics (5 papers) and Computational Drug Discovery Methods (4 papers). Flaviu Cipcigan is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (5 papers), Phase Equilibria and Thermodynamics (5 papers) and Computational Drug Discovery Methods (4 papers). Flaviu Cipcigan collaborates with scholars based in United Kingdom, United States and Brazil. Flaviu Cipcigan's co-authors include Jason Crain, Glenn Martyna, V. P. Sokhan, Andy Jones, Maxim G. Ryadnov, Phillip J. Stansfeld, Mark S.P. Sansom, Maike Bublitz, Leonardo De Maria and Anders Hogner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Flaviu Cipcigan

18 papers receiving 274 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Flaviu Cipcigan United Kingdom 11 130 77 71 68 38 18 278
Pascal Dubos France 6 286 2.2× 63 0.8× 68 1.0× 21 0.3× 6 0.2× 8 395
Joshua N. Mabry United States 7 85 0.7× 145 1.9× 95 1.3× 124 1.8× 2 0.1× 7 368
Yu. A. Ermakov Russia 13 81 0.6× 179 2.3× 102 1.4× 87 1.3× 10 0.3× 41 422
W. Tscharnuter United States 8 58 0.4× 52 0.7× 75 1.1× 100 1.5× 5 0.1× 16 284
Eleanor Watts United States 8 244 1.9× 93 1.2× 53 0.7× 85 1.3× 2 0.1× 13 439
D. Nakamura Japan 14 115 0.9× 44 0.6× 334 4.7× 53 0.8× 2 0.1× 39 490
Erte Xi United States 7 125 1.0× 121 1.6× 82 1.2× 104 1.5× 1 0.0× 9 392
Tsuneyasu Okabe Japan 7 82 0.6× 130 1.7× 192 2.7× 35 0.5× 2 0.1× 15 343
U. Englisch Germany 11 102 0.8× 87 1.1× 79 1.1× 40 0.6× 24 292
Natalia A. Denesyuk United States 12 70 0.5× 171 2.2× 78 1.1× 42 0.6× 19 322

Countries citing papers authored by Flaviu Cipcigan

Since Specialization
Citations

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

Fields of papers citing papers by Flaviu Cipcigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flaviu Cipcigan

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

All Works

18 of 18 papers shown
1.
McDonagh, James L., et al.. (2024). Chemical space analysis and property prediction for carbon capture solvent molecules. Digital Discovery. 3(3). 528–543. 2 indexed citations
2.
Cipcigan, Flaviu, et al.. (2024). Discovery of novel reticular materials for carbon dioxide capture using GFlowNets. Digital Discovery. 3(3). 449–455. 6 indexed citations
3.
Cipcigan, Flaviu, et al.. (2024). Are we fitting data or noise? Analysing the predictive power of commonly used datasets in drug-, materials-, and molecular-discovery. Faraday Discussions. 256(0). 304–321. 4 indexed citations
4.
Elmegreen, Bruce G., Hendrik F. Hamann, Benjamin H. Wunsch, et al.. (2023). MDLab: AI frameworks for carbon capture and battery materials. Frontiers in Environmental Science. 11. 3 indexed citations
5.
Schnell, Jason R., et al.. (2023). MacroConf – dataset & workflows to assess cyclic peptide solution structures. Digital Discovery. 2(4). 1163–1177. 4 indexed citations
6.
Hammond, Katharine, Flaviu Cipcigan, Kareem Al Nahas, et al.. (2021). Switching Cytolytic Nanopores into Antimicrobial Fractal Ruptures by a Single Side Chain Mutation. ACS Nano. 15(6). 9679–9689. 17 indexed citations
7.
Das, Payel, Tom Sercu, Inkit Padhi, et al.. (2021). Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations. Nature Biomedical Engineering. 5(8). 942–942. 6 indexed citations
8.
Bublitz, Maike, Flaviu Cipcigan, Maxim G. Ryadnov, et al.. (2021). Membrane Binding of Antimicrobial Peptides Is Modulated by Lipid Charge Modification. Journal of Chemical Theory and Computation. 17(2). 1218–1228. 19 indexed citations
9.
Cipcigan, Flaviu, Paul Smith, Jason Crain, et al.. (2020). Membrane Permeability in Cyclic Peptides is Modulated by Core Conformations. Journal of Chemical Information and Modeling. 61(1). 263–269. 15 indexed citations
10.
Cipcigan, Flaviu, Jason Crain, V. P. Sokhan, & Glenn Martyna. (2019). Electronic coarse graining: Predictive atomistic modeling of condensed matter. Reviews of Modern Physics. 91(2). 15 indexed citations
11.
Cipcigan, Flaviu, V. P. Sokhan, Glenn Martyna, & Jason Crain. (2018). Structure and hydrogen bonding at the limits of liquid water stability. Scientific Reports. 8(1). 1718–1718. 24 indexed citations
12.
Cipcigan, Flaviu, Anna Paola Carrieri, Edward O. Pyzer‐Knapp, et al.. (2018). Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactions. The Journal of Chemical Physics. 148(24). 241744–241744. 8 indexed citations
13.
Cipcigan, Flaviu, V. P. Sokhan, Jason Crain, & Glenn Martyna. (2016). Electronic coarse graining enhances the predictive power of molecular simulation allowing challenges in water physics to be addressed. Journal of Computational Physics. 326. 222–233. 11 indexed citations
14.
Sokhan, V. P., Andy Jones, Flaviu Cipcigan, Jason Crain, & Glenn Martyna. (2015). Molecular-Scale Remnants of the Liquid-Gas Transition in Supercritical Polar Fluids. Physical Review Letters. 115(11). 117801–117801. 18 indexed citations
15.
Sokhan, V. P., Andy Jones, Flaviu Cipcigan, Jason Crain, & Glenn Martyna. (2015). Signature properties of water: Their molecular electronic origins. Proceedings of the National Academy of Sciences. 112(20). 6341–6346. 45 indexed citations
16.
Cipcigan, Flaviu, V. P. Sokhan, Andy Jones, Jason Crain, & Glenn Martyna. (2015). Hydrogen bonding and molecular orientation at the liquid–vapour interface of water. Physical Chemistry Chemical Physics. 17(14). 8660–8669. 38 indexed citations
17.
Jones, Andy, Flaviu Cipcigan, V. P. Sokhan, Jason Crain, & Glenn Martyna. (2013). Electronically Coarse-Grained Model for Water. Physical Review Letters. 110(22). 227801–227801. 28 indexed citations
18.
Jones, Andy, et al.. (2013). Electronically coarse-grained molecular dynamics using quantum Drude oscillators. Molecular Physics. 111(22-23). 3465–3477. 15 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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