Daniela Trisciuzzi

1.7k total citations
37 papers, 622 citations indexed

About

Daniela Trisciuzzi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Daniela Trisciuzzi has authored 37 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 18 papers in Molecular Biology and 12 papers in Pharmacology. Recurrent topics in Daniela Trisciuzzi's work include Computational Drug Discovery Methods (23 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Synthesis and biological activity (6 papers). Daniela Trisciuzzi is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Synthesis and biological activity (6 papers). Daniela Trisciuzzi collaborates with scholars based in Italy, India and United States. Daniela Trisciuzzi's co-authors include Orazio Nicolotti, Giuseppe Felice Mangiatordi, Domenico Alberga, Fulvio Ciriaco, Nicola Gambacorta, Domenico Alberga, Francesco Leonetti, Nicola Amoroso, Marco Catto and Kamel Mansouri and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Daniela Trisciuzzi

35 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Trisciuzzi Italy 16 349 268 118 102 80 37 622
Mohamed Diwan M. AbdulHameed United States 19 284 0.8× 367 1.4× 117 1.0× 119 1.2× 45 0.6× 39 750
Barun Bhhatarai United States 16 249 0.7× 326 1.2× 56 0.5× 28 0.3× 72 0.9× 22 870
Vishal B. Siramshetty United States 16 488 1.4× 443 1.7× 49 0.4× 67 0.7× 88 1.1× 24 848
Claire Strain‐Damerell United Kingdom 17 161 0.5× 528 2.0× 121 1.0× 48 0.5× 68 0.8× 31 855
Sampada A. Shahane United States 11 304 0.9× 312 1.2× 20 0.2× 46 0.5× 83 1.0× 13 595
Jinfu Peng China 8 114 0.3× 161 0.6× 79 0.7× 43 0.4× 28 0.3× 14 449
Alexander Hillebrecht Germany 11 134 0.4× 339 1.3× 155 1.3× 81 0.8× 26 0.3× 15 539
Pranav Shah United States 17 199 0.6× 377 1.4× 97 0.8× 53 0.5× 45 0.6× 43 790
Tongan Zhao United States 9 375 1.1× 337 1.3× 17 0.1× 48 0.5× 95 1.2× 12 730
Giuliano Berellini United States 12 318 0.9× 203 0.8× 110 0.9× 59 0.6× 41 0.5× 14 622

Countries citing papers authored by Daniela Trisciuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Trisciuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Trisciuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Trisciuzzi. A scholar is included among the top collaborators of Daniela Trisciuzzi 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 Daniela Trisciuzzi. Daniela Trisciuzzi 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.
Ciriaco, Fulvio, Nicola Gambacorta, Daniela Trisciuzzi, et al.. (2025). fragSMILES as a chemical string notation for advanced fragment and chirality representation. Communications Chemistry. 8(1). 26–26. 5 indexed citations
2.
Cotugno, Pietro, Antonio Salomone, Daniela Trisciuzzi, et al.. (2025). Bombyx Mori Silk Fibroin as a Sustainable Organocatalyst for Diastereoselective Michael Additions. ChemSusChem. 18(16). e202500584–e202500584.
3.
4.
Gambacorta, Nicola, Marco Mele, Antonella Liantonio, et al.. (2025). CUPID: A free drug discovery platform for the explainable multi-ion channel assessment of cardiotoxicity. European Journal of Medicinal Chemistry. 290. 117575–117575. 2 indexed citations
5.
Gambacorta, Nicola, Fulvio Ciriaco, Daniela Trisciuzzi, et al.. (2025). Chemical Space Networks Enhance Toxicity Recognition via Graph Embedding. Journal of Chemical Information and Modeling. 65(4). 1850–1861. 2 indexed citations
6.
Trisciuzzi, Daniela, Nicola Gambacorta, Marco Catto, et al.. (2024). Isatin derived morpholine and piperazine derivatives as acetylcholinesterase inhibitors. Journal of Molecular Structure. 1322. 140503–140503. 1 indexed citations
7.
Gambacorta, Nicola, Daniela Trisciuzzi, Cosimo Altomare, et al.. (2024). TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs. Methods in molecular biology. 2834. 373–391. 1 indexed citations
8.
Gambacorta, Nicola, et al.. (2024). MzDOCK: A free ready‐to‐use GUI‐based pipeline for molecular docking simulations. Journal of Computational Chemistry. 45(23). 1980–1986. 15 indexed citations
9.
Amoroso, Nicola, Nicola Gambacorta, Daniela Trisciuzzi, et al.. (2023). Making sense of chemical space network shows signs of criticality. Scientific Reports. 13(1). 21335–21335. 15 indexed citations
10.
Ciriaco, Fulvio, Daniela Trisciuzzi, Nicola Gambacorta, et al.. (2022). TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity. Journal of Chemical Information and Modeling. 63(1). 56–66. 30 indexed citations
11.
Trisciuzzi, Daniela, Lydia Siragusa, Massimo Baroni, Gabriele Cruciani, & Orazio Nicolotti. (2022). An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening. Journal of Chemical Information and Modeling. 62(24). 6812–6824. 17 indexed citations
12.
Alberga, Domenico, Nicola Gambacorta, Daniela Trisciuzzi, et al.. (2020). De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization. Journal of Chemical Information and Modeling. 60(10). 4582–4593. 66 indexed citations
13.
Trisciuzzi, Daniela, Orazio Nicolotti, Maria A. Miteva, & Bruno O. Villoutreix. (2018). Analysis of solvent-exposed and buried co-crystallized ligands: a case study to support the design of novel protein–protein interaction inhibitors. Drug Discovery Today. 24(2). 551–559. 25 indexed citations
14.
Trisciuzzi, Daniela, Domenico Alberga, Francesco Leonetti, et al.. (2018). Molecular Docking for Predictive Toxicology. Methods in molecular biology. 1800. 181–197. 18 indexed citations
15.
Mangiatordi, Giuseppe Felice, Daniela Trisciuzzi, Rosa Maria Iacobazzi, et al.. (2018). Automated identification of structurally heterogeneous and patentable antiproliferative hits as potential tubulin inhibitors. Chemical Biology & Drug Design. 92(1). 1161–1170. 2 indexed citations
16.
Mangiatordi, Giuseppe Felice, Daniela Trisciuzzi, Domenico Alberga, et al.. (2017). Novel chemotypes targeting tubulin at the colchicine binding site and unbiasing P-glycoprotein. European Journal of Medicinal Chemistry. 139. 792–803. 39 indexed citations
17.
Mangiatordi, Giuseppe Felice, Domenico Alberga, Leonardo Pisani, et al.. (2017). A rational approach to elucidate human monoamine oxidase molecular selectivity. European Journal of Pharmaceutical Sciences. 101. 90–99. 30 indexed citations
18.
Alberga, Domenico, Daniela Trisciuzzi, Gianluca Lattanzi, et al.. (2017). Comparative molecular dynamics study of neuromyelitis optica-immunoglobulin G binding to aquaporin-4 extracellular domains. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(8). 1326–1334. 8 indexed citations
19.
Trisciuzzi, Daniela, Domenico Alberga, Lydia Siragusa, et al.. (2017). Strategies of Virtual Screening in Medicinal Chemistry. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 3(1). 134–160. 19 indexed citations
20.
Mangiatordi, Giuseppe Felice, Domenico Alberga, Cosimo Altomare, et al.. (2016). Mind the Gap! A Journey towards Computational Toxicology. Molecular Informatics. 35(8-9). 294–308. 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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