Valeria Molinero

14.4k total citations · 3 hit papers
160 papers, 11.3k citations indexed

About

Valeria Molinero is a scholar working on Atmospheric Science, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Valeria Molinero has authored 160 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Atmospheric Science, 66 papers in Materials Chemistry and 42 papers in Biomedical Engineering. Recurrent topics in Valeria Molinero's work include nanoparticles nucleation surface interactions (54 papers), Material Dynamics and Properties (48 papers) and Theoretical and Computational Physics (21 papers). Valeria Molinero is often cited by papers focused on nanoparticles nucleation surface interactions (54 papers), Material Dynamics and Properties (48 papers) and Theoretical and Computational Physics (21 papers). Valeria Molinero collaborates with scholars based in United States, Argentina and India. Valeria Molinero's co-authors include Emily B. Moore, Liam C. Jacobson, Arpa Hudait, Yuqing Qiu, Waldemar Hujo, Laura Lupi, William A. Goddard, Andrew H. Nguyen, Damián A. Scherlis and Tahir Çağın and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Valeria Molinero

158 papers receiving 11.2k citations

Hit Papers

Water Modeled As an Inter... 2008 2026 2014 2020 2008 2011 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valeria Molinero United States 59 4.1k 3.9k 2.1k 2.0k 2.0k 160 11.3k
Carlos Vega Spain 56 3.8k 0.9× 7.0k 1.8× 5.6k 2.7× 1.9k 1.0× 5.4k 2.7× 248 16.8k
J. L. F. Abascal Spain 33 2.2k 0.5× 3.7k 1.0× 3.8k 1.8× 1.0k 0.5× 3.0k 1.5× 85 9.8k
Hideki Tanaka Japan 49 1.0k 0.3× 3.7k 0.9× 2.7k 1.3× 1.8k 0.9× 2.6k 1.3× 258 8.9k
Dimo Kashchiev Bulgaria 41 2.5k 0.6× 3.2k 0.8× 939 0.5× 959 0.5× 931 0.5× 117 7.1k
D. D. Klug Canada 54 630 0.2× 4.0k 1.0× 2.8k 1.3× 1.7k 0.9× 672 0.3× 235 8.8k
Eduardo Sanz Spain 39 2.0k 0.5× 2.8k 0.7× 1.4k 0.7× 924 0.5× 1.0k 0.5× 130 5.9k
Peter G. Kusalik Canada 48 892 0.2× 1.7k 0.4× 3.1k 1.5× 1.7k 0.8× 1.3k 0.6× 125 7.0k
Kenji Yasuoka Japan 44 1.1k 0.3× 1.4k 0.4× 1.3k 0.6× 883 0.4× 1.1k 0.5× 244 5.9k
Pablo G. Debenedetti United States 83 3.1k 0.8× 15.7k 4.0× 6.1k 3.0× 735 0.4× 10.2k 5.1× 314 27.0k
Yujia Wang China 41 2.5k 0.6× 4.0k 1.0× 535 0.3× 454 0.2× 1.1k 0.5× 320 9.2k

Countries citing papers authored by Valeria Molinero

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Molinero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Molinero

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Molinero. A scholar is included among the top collaborators of Valeria Molinero 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 Valeria Molinero. Valeria Molinero 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.
Sankaranarayanan, Subramanian K. R. S., et al.. (2025). From Nonclassical to Classical: Crystallization Seeds Reshape Nucleation Mechanisms. Journal of the American Chemical Society. 147(24). 20456–20465. 3 indexed citations
2.
Meijerink, Mark J., et al.. (2025). Integrating Experiments and Simulations to Reveal Anisotropic Growth Mechanisms and Interfaces of a One-Dimensional Zeolite. Chemistry of Materials. 37(4). 1638–1647. 1 indexed citations
3.
Wang, Kaixin, et al.. (2025). Nanoparticle Electrodes Trigger Bubble Detachment and Enhance Gas Evolution Efficiency. ACS Nano. 19(17). 16665–16674. 3 indexed citations
4.
Dhabal, Debdas, et al.. (2024). Medium-density amorphous ice unveils shear rate as a new dimension in water’s phase diagram. Proceedings of the National Academy of Sciences. 121(48). e2414444121–e2414444121. 4 indexed citations
5.
Sirkin, Yamila A. Perez, et al.. (2024). The smallest electrochemical bubbles. Proceedings of the National Academy of Sciences. 121(41). e2406956121–e2406956121. 3 indexed citations
6.
Clemens, Auston L., Maira R. Cerón, Thomas Ferron, et al.. (2024). Ultraviolet-Activated Solid-State Nitrene Cross-Linking: A Scalable Pathway to Prolonged Lifespan in Anion Exchange Membranes. ACS Applied Polymer Materials. 6(8). 4419–4430. 8 indexed citations
7.
Banik, Suvo, et al.. (2024). Interzeolite Transformation through Cross-Nucleation: A Molecular Mechanism for Seed-Assisted Synthesis. Journal of the American Chemical Society. 146(48). 33204–33213. 9 indexed citations
8.
Dhabal, Debdas, et al.. (2024). Liquid–liquid transition and ice crystallization in a machine-learned coarse-grained water model. Proceedings of the National Academy of Sciences. 121(20). e2322853121–e2322853121. 12 indexed citations
9.
Guo, Hao‐Bo, Janine Fröhlich‐Nowoisky, Rajiv Berry, et al.. (2024). Hierarchical assembly and environmental enhancement of bacterial ice nucleators. Proceedings of the National Academy of Sciences. 121(43). e2409283121–e2409283121. 5 indexed citations
10.
Chan, Henry, et al.. (2024). Machine Learning a Simple Interpretable Short-Range Potential for Silica. Journal of Chemical Theory and Computation. 20(19). 8665–8674. 3 indexed citations
11.
Schwidetzky, Ralph, Arthur L. DeVries, Mischa Bonn, et al.. (2023). Functional aggregation of cell-free proteins enables fungal ice nucleation. Proceedings of the National Academy of Sciences. 120(46). e2303243120–e2303243120. 16 indexed citations
12.
Karnes, John J., et al.. (2023). Post-Hydration Crosslinking of Ion Exchange Membranes to Control Water Content. The Journal of Physical Chemistry C. 127(11). 5613–5621. 6 indexed citations
13.
Chan, Henry, Sukriti Manna, Troy D. Loeffler, et al.. (2023). Multi-reward reinforcement learning based development of inter-atomic potential models for silica. npj Computational Materials. 9(1). 7 indexed citations
14.
Banik, Suvo, Debdas Dhabal, Henry Chan, et al.. (2023). CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment. npj Computational Materials. 9(1). 33 indexed citations
15.
Meister, Konrad, et al.. (2023). HUB: a method to model and extract the distribution of ice nucleation temperatures from drop-freezing experiments. Atmospheric chemistry and physics. 23(10). 5623–5639. 11 indexed citations
16.
Molinero, Valeria, et al.. (2023). Nanobubble Stability and Formation on Solid–Liquid Interfaces in Open Environments. Nano Letters. 23(15). 7206–7212. 7 indexed citations
17.
Sirkin, Yamila A. Perez, et al.. (2020). Electrochemically Generated Nanobubbles: Invariance of the Current with Respect to Electrode Size and Potential. The Journal of Physical Chemistry Letters. 11(16). 6573–6579. 30 indexed citations
18.
Moberg, Daniel R., Daniel M. Becker, U. Buck, et al.. (2019). The end of ice I. Proceedings of the National Academy of Sciences. 116(49). 24413–24419. 55 indexed citations
19.
Sirkin, Yamila A. Perez, et al.. (2019). Mechanisms of Nucleation and Stationary States of Electrochemically Generated Nanobubbles. Journal of the American Chemical Society. 141(27). 10801–10811. 116 indexed citations
20.
Sirkin, Yamila A. Perez, Matías H. Factorovich, Valeria Molinero, & Damián A. Scherlis. (2017). Stability and Vapor Pressure of Aqueous Aggregates and Aerosols Containing a Monovalent Ion. The Journal of Physical Chemistry A. 121(13). 2597–2602. 3 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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