Francesco Trozzi

401 total citations
12 papers, 242 citations indexed

About

Francesco Trozzi is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Francesco Trozzi has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Francesco Trozzi's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (4 papers). Francesco Trozzi is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Materials Science (4 papers). Francesco Trozzi collaborates with scholars based in United States and Italy. Francesco Trozzi's co-authors include Peng Tao, Xinlei Wang, Brian D. Zoltowski, Hao Tian, Niraj Verma, Elfi Kraka, Eric C. Larson, Xi Jiang, Sian Xiao and Zilin Song and has published in prestigious journals such as The Journal of Physical Chemistry B, International Journal of Molecular Sciences and PLoS Computational Biology.

In The Last Decade

Francesco Trozzi

12 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Trozzi United States 9 147 111 80 23 16 12 242
Navneet Bung India 10 203 1.4× 154 1.4× 81 1.0× 27 1.2× 12 0.8× 19 323
Kristy A. Carpenter United States 7 199 1.4× 172 1.5× 59 0.7× 16 0.7× 10 0.6× 13 349
Juan I. Di Filippo Argentina 6 144 1.0× 169 1.5× 40 0.5× 55 2.4× 7 0.4× 6 267
Derek van Tilborg Netherlands 6 145 1.0× 158 1.4× 115 1.4× 7 0.3× 18 1.1× 7 288
Sowmya Ramaswamy Krishnan India 8 178 1.2× 177 1.6× 73 0.9× 38 1.7× 11 0.7× 28 287
Shuoyan Tan China 8 227 1.5× 179 1.6× 50 0.6× 34 1.5× 12 0.8× 19 343
Cyrill Brunner Switzerland 8 150 1.0× 105 0.9× 58 0.7× 10 0.4× 49 3.1× 18 278
Xiaochu Tong China 7 164 1.1× 185 1.7× 82 1.0× 7 0.3× 9 0.6× 14 293
Vigneshwari Subramanian United Kingdom 8 243 1.7× 210 1.9× 76 0.9× 8 0.3× 23 1.4× 15 328
Manon Réau France 8 209 1.4× 163 1.5× 69 0.9× 7 0.3× 7 0.4× 11 318

Countries citing papers authored by Francesco Trozzi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Trozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Trozzi

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

All Works

12 of 12 papers shown
1.
Trozzi, Francesco, et al.. (2023). Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures. Bioinformatics Advances. 3(1). vbad129–vbad129. 13 indexed citations
2.
Trozzi, Francesco, Zilin Song, Niraj Verma, et al.. (2022). Allosteric control of ACE2 peptidase domain dynamics. Organic & Biomolecular Chemistry. 20(17). 3605–3618. 3 indexed citations
3.
Song, Zilin, Francesco Trozzi, Hao Tian, Chao Yin, & Peng Tao. (2022). Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways. ACS Physical Chemistry Au. 2(4). 316–330. 10 indexed citations
4.
Verma, Niraj, et al.. (2021). Predicting Potential SARS-COV-2 Drugs—In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking. International Journal of Molecular Sciences. 22(4). 1573–1573. 31 indexed citations
5.
Verma, Niraj, Francesco Trozzi, Peng Tao, et al.. (2021). SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction. International Journal of Molecular Sciences. 22(3). 1392–1392. 30 indexed citations
6.
Trozzi, Francesco, et al.. (2021). Dynamics of hydrogen bonds in the secondary structures of allosteric protein Avena Sativa phototropin 1. Computational and Structural Biotechnology Journal. 20. 50–64. 13 indexed citations
7.
Trozzi, Francesco, Feng Wang, Gennady M. Verkhivker, Brian D. Zoltowski, & Peng Tao. (2021). Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE. PLoS Computational Biology. 17(7). e1009168–e1009168. 2 indexed citations
8.
Song, Zilin, Francesco Trozzi, Timothy Palzkill, & Peng Tao. (2021). QM/MM modeling of class A β-lactamases reveals distinct acylation pathways for ampicillin and cefalexin. Organic & Biomolecular Chemistry. 19(42). 9182–9189. 6 indexed citations
9.
Tian, Hao, Xi Jiang, Francesco Trozzi, et al.. (2021). Explore Protein Conformational Space With Variational Autoencoder. Frontiers in Molecular Biosciences. 8. 781635–781635. 30 indexed citations
10.
Trozzi, Francesco, Xinlei Wang, & Peng Tao. (2021). UMAP as a Dimensionality Reduction Tool for Molecular Dynamics Simulations of Biomacromolecules: A Comparison Study. The Journal of Physical Chemistry B. 125(19). 5022–5034. 70 indexed citations
11.
Tian, Hao, Francesco Trozzi, Brian D. Zoltowski, & Peng Tao. (2020). Deciphering the Allosteric Process of the Phaeodactylum tricornutum Aureochrome 1a LOV Domain. The Journal of Physical Chemistry B. 124(41). 8960–8972. 20 indexed citations
12.
Trozzi, Francesco, Tainah Dorina Marforio, Andréa Bottoni, Francesco Zerbetto, & Matteo Calvaresi. (2016). Engineering the Fullerene‐protein Interface by Computational Design: The Sum is More than its Parts. Israel Journal of Chemistry. 57(6). 547–552. 14 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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