Loriano Storchi

2.0k total citations
70 papers, 1.3k citations indexed

About

Loriano Storchi is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Loriano Storchi has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 15 papers in Spectroscopy and 12 papers in Materials Chemistry. Recurrent topics in Loriano Storchi's work include Advanced Chemical Physics Studies (24 papers), Computational Drug Discovery Methods (11 papers) and Inorganic Fluorides and Related Compounds (7 papers). Loriano Storchi is often cited by papers focused on Advanced Chemical Physics Studies (24 papers), Computational Drug Discovery Methods (11 papers) and Inorganic Fluorides and Related Compounds (7 papers). Loriano Storchi collaborates with scholars based in Italy, United Kingdom and France. Loriano Storchi's co-authors include Gabriele Cruciani, Francesca Milletti, Gianluca Sforna, Francesco Tarantelli, Leonardo Belpassi, Harry M. Quiney, Alessandro Marrone, Laura Goracci, Simon Cross and Sergio Rampino and has published in prestigious journals such as The Journal of Chemical Physics, Energy & Environmental Science and PLoS ONE.

In The Last Decade

Loriano Storchi

66 papers receiving 1.3k citations

Peers

Loriano Storchi
Steven V. Jerome United States
Lin Frank Song United States
Dale A. Braden United States
Patric Schyman United States
Paul Beroza United States
Martin Korth Germany
Gregory J. Tawa United States
Arteum D. Bochevarov United States
Steven V. Jerome United States
Loriano Storchi
Citations per year, relative to Loriano Storchi Loriano Storchi (= 1×) peers Steven V. Jerome

Countries citing papers authored by Loriano Storchi

Since Specialization
Citations

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

Fields of papers citing papers by Loriano Storchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loriano Storchi

This figure shows the co-authorship network connecting the top 25 collaborators of Loriano Storchi. A scholar is included among the top collaborators of Loriano Storchi 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 Loriano Storchi. Loriano Storchi 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.
Storchi, Loriano, et al.. (2025). Acceleration of the Relativistic Dirac–Kohn–Sham Method with GPU: A Pre-Exascale Implementation of BERTHA and PyBERTHA. Journal of Chemical Theory and Computation. 21(7). 3460–3475. 3 indexed citations
2.
Storchi, Loriano, et al.. (2024). Quantum-classical rate coefficient datasets of vibrational energy transfer in carbon monoxide based on highly accurate potential energy surface. The Journal of Chemical Physics. 160(8). 5 indexed citations
3.
Aragão, Leonardo, Elisabetta Ronchieri, Giuseppe Ambrosio, et al.. (2024). Air quality changes during the COVID-19 pandemic guided by robust virus-spreading data in Italy. Air Quality Atmosphere & Health. 17(5). 1135–1153. 1 indexed citations
4.
Tedeschi, T., Marco Baioletti, D. Ciangottini, et al.. (2023). Smart Caching in a Data Lake for High Energy Physics Analysis. Journal of Grid Computing. 21(3).
5.
Storchi, Loriano, et al.. (2023). Inelastic N$$_2$$+H$$_2$$ collisions and quantum-classical rate coefficients: large datasets and machine learning predictions. The European Physical Journal D. 77(7). 16 indexed citations
6.
Storchi, Loriano, et al.. (2023). Improved Quantum–Classical Treatment of N2–N2 Inelastic Collisions: Effect of the Potentials and Complete Rate Coefficient Data Sets. Journal of Chemical Theory and Computation. 19(23). 8557–8571. 12 indexed citations
7.
Storchi, Loriano, et al.. (2022). Toward machine learning for microscopic mechanisms: A formula search for crystal structure stability based on atomic properties. Journal of Applied Physics. 131(21). 5 indexed citations
8.
Storchi, Loriano, et al.. (2022). Homodimeric complexes of the 90–231 human prion: a multilayered computational study based on FMO/GRID-DRY approach. Journal of Molecular Modeling. 28(8). 241–241. 6 indexed citations
9.
Tolbatov, Iogann, Tiziano Marzo, Cecilia Coletti, et al.. (2021). Reactivity of antitumor coinage metal-based N-heterocyclic carbene complexes with cysteine and selenocysteine protein sites. Journal of Inorganic Biochemistry. 223. 111533–111533. 22 indexed citations
10.
Agamennone, Mariangela, et al.. (2021). Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study. Journal of Computer-Aided Molecular Design. 35(6). 751–770. 4 indexed citations
11.
Sabatini, Nadia, et al.. (2018). Effect of pomegranate peel extract on shelf life of strawberries: computational chemistry approaches to assess antifungal mechanisms involved. Journal of Food Science and Technology. 55(7). 2702–2711. 21 indexed citations
12.
Marrone, Alessandro, Nazzareno Re, & Loriano Storchi. (2016). The Effects of Ca2+ Concentration and E200K Mutation on the Aggregation Propensity of PrPC: A Computational Study. PLoS ONE. 11(12). e0168039–e0168039. 8 indexed citations
13.
Rampino, Sergio, Leonardo Belpassi, Francesco Tarantelli, & Loriano Storchi. (2014). Full Parallel Implementation of an All-Electron Four-Component Dirac–Kohn–Sham Program. Journal of Chemical Theory and Computation. 10(9). 3766–3776. 19 indexed citations
14.
Belpassi, Leonardo, Loriano Storchi, Harry M. Quiney, & Francesco Tarantelli. (2011). Recent advances and perspectives in four-component Dirac–Kohn–Sham calculations. Physical Chemistry Chemical Physics. 13(27). 12368–12368. 50 indexed citations
15.
Milletti, Francesca, Loriano Storchi, Laura Goracci, et al.. (2010). Extending pKa prediction accuracy: High-throughput pKa measurements to understand pKa modulation of new chemical series. European Journal of Medicinal Chemistry. 45(9). 4270–4279. 94 indexed citations
16.
Cruciani, Gabriele, Francesca Milletti, Loriano Storchi, Gianluca Sforna, & Laura Goracci. (2009). In silico pKa Prediction and ADME Profiling. Chemistry & Biodiversity. 6(11). 1812–1821. 66 indexed citations
17.
Storchi, Loriano, P. Linusson, Filip Heijkenskjöld, et al.. (2009). A photoelectron and double photoionization study of the valence electronic structure of 1,4-bromofluorobenzene. The Journal of Chemical Physics. 131(18). 184302–184302. 4 indexed citations
18.
Milletti, Francesca, Loriano Storchi, Gianluca Sforna, Simon Cross, & Gabriele Cruciani. (2009). Tautomer Enumeration and Stability Prediction for Virtual Screening on Large Chemical Databases. Journal of Chemical Information and Modeling. 49(1). 68–75. 107 indexed citations
19.
Storchi, Loriano, et al.. (2008). Implementation and use of a direct, partially integral‐driven non‐Dyson propagator method for molecular ionization. Journal of Computational Chemistry. 30(5). 818–825. 8 indexed citations
20.
Feyer, Vitaliy, P. Bolognesi, Marcello Coreno, et al.. (2005). Effects of nuclear dynamics in the low-kinetic-energy Auger spectra of CO and CO2. The Journal of Chemical Physics. 123(22). 224306–224306. 17 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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