Giovanni Pinamonti

875 total citations · 1 hit paper
8 papers, 571 citations indexed

About

Giovanni Pinamonti is a scholar working on Molecular Biology, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Giovanni Pinamonti has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computer Networks and Communications and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Giovanni Pinamonti's work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and RNA Research and Splicing (3 papers). Giovanni Pinamonti is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and RNA Research and Splicing (3 papers). Giovanni Pinamonti collaborates with scholars based in Italy, United States and Germany. Giovanni Pinamonti's co-authors include Giovanni Bussi, Sandro Bottaro, Pavel Banáš, Simón Poblete, Richard A. Cunha, Miroslav Krepl, Nils G. Walter, Michal Otyepka, Petr Jurečka and Jiřı́ Šponer and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Giovanni Pinamonti

8 papers receiving 567 citations

Hit Papers

RNA Structural Dynamics As Captured by Molecular Simulati... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Pinamonti Italy 6 511 62 57 30 24 8 571
Alejandro Gil-Ley Italy 10 677 1.3× 89 1.4× 63 1.1× 30 1.0× 50 2.1× 12 763
Konstantin Röder United Kingdom 12 282 0.6× 103 1.7× 26 0.5× 13 0.4× 18 0.8× 24 398
Hiroo Kenzaki Japan 8 491 1.0× 111 1.8× 61 1.1× 61 2.0× 44 1.8× 11 569
Naoto Hori United States 12 516 1.0× 148 2.4× 56 1.0× 33 1.1× 43 1.8× 20 573
Dazhi Tan United States 9 576 1.1× 85 1.4× 52 0.9× 26 0.9× 24 1.0× 9 643
Cheng Tan Japan 15 624 1.2× 76 1.2× 59 1.0× 39 1.3× 38 1.6× 28 718
Richard A. Cunha Switzerland 8 454 0.9× 67 1.1× 47 0.8× 24 0.8× 18 0.8× 9 555
Anastasia C. Murthy United States 8 853 1.7× 76 1.2× 55 1.0× 19 0.6× 29 1.2× 17 994
Adiran Garaizar United Kingdom 14 877 1.7× 100 1.6× 30 0.5× 19 0.6× 17 0.7× 20 1.0k
Ivan Teo United States 7 265 0.5× 94 1.5× 17 0.3× 24 0.8× 18 0.8× 8 336

Countries citing papers authored by Giovanni Pinamonti

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Pinamonti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Pinamonti

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

All Works

8 of 8 papers shown
1.
Bottaro, Sandro, et al.. (2018). Barnaba: software for analysis of nucleic acid structures and trajectories. RNA. 25(2). 219–231. 61 indexed citations
2.
Šponer, Jiřı́, Giovanni Bussi, Miroslav Krepl, et al.. (2018). RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview. Chemical Reviews. 118(8). 4177–4338. 398 indexed citations breakdown →
3.
Chen, Justin, Jiming Chen, Giovanni Pinamonti, & Cecilia Clementi. (2018). Learning Effective Molecular Models from Experimental Observables. Journal of Chemical Theory and Computation. 14(7). 3849–3858. 26 indexed citations
4.
Pinamonti, Giovanni, et al.. (2018). The Effect of Electrostatic Interactions on the Folding Kinetics of a 3-α-Helical Bundle Protein Family. The Journal of Physical Chemistry B. 122(49). 11800–11806. 2 indexed citations
5.
Pinamonti, Giovanni, David E. Condon, Fabian Paul, et al.. (2016). Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models. Journal of Chemical Theory and Computation. 13(2). 926–934. 22 indexed citations
6.
Pinamonti, Giovanni, Sandro Bottaro, Cristian Micheletti, & Giovanni Bussi. (2015). Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments. Nucleic Acids Research. 43(15). 7260–7269. 42 indexed citations
7.
Marro, Joaquín, Jorge F. Mejías, Giovanni Pinamonti, & Joaquı́n J. Torres. (2013). Signal transmission competing with noise in model excitable brains. AIP conference proceedings. 85–93. 3 indexed citations
8.
Pinamonti, Giovanni, Joaquín Marro, & Joaquı́n J. Torres. (2012). Stochastic Resonance Crossovers in Complex Networks. PLoS ONE. 7(12). e51170–e51170. 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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