Alessandro Padova

713 total citations
22 papers, 529 citations indexed

About

Alessandro Padova is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Alessandro Padova has authored 22 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Alessandro Padova's work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Click Chemistry and Applications (3 papers). Alessandro Padova is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Click Chemistry and Applications (3 papers). Alessandro Padova collaborates with scholars based in Italy, United Kingdom and Austria. Alessandro Padova's co-authors include Ugo Perricone, Claudia Lamanna, Göran Westerberg, Laura Maccari, Patrizia Diana, Girolamo Cirrincione, Stella Cascioferro, Barbara Parrino, Marc O’Reilly and Deborah Davis and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Alessandro Padova

22 papers receiving 502 citations

Peers

Alessandro Padova
Steffen Lang Germany
Francis Mueller Switzerland
Lars Nærum Denmark
Paul A. Brough United Kingdom
Joni W. Lam United States
Yinghong Gao United States
Alessandro Padova
Citations per year, relative to Alessandro Padova Alessandro Padova (= 1×) peers Oleg V. Stroganov

Countries citing papers authored by Alessandro Padova

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Padova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Padova

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Padova. A scholar is included among the top collaborators of Alessandro Padova 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 Alessandro Padova. Alessandro Padova 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.
Rosa, Maria De, Daniela Carbone, Barbara Parrino, et al.. (2020). Dynamic‐shared Pharmacophore Approach as Tool to Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket. Molecular Informatics. 40(2). e2000148–e2000148. 1 indexed citations
2.
Souto, José A., Federica Sarno, Angela Nebbioso, et al.. (2020). A New Family of Jumonji C Domain-Containing KDM Inhibitors Inspired by Natural Product Purpurogallin. Frontiers in Chemistry. 8. 312–312. 21 indexed citations
3.
Perricone, Ugo, et al.. (2020). Targeting SARS‐CoV‐2 RBD Interface: a Supervised Computational Data‐Driven Approach to Identify Potential Modulators. ChemMedChem. 15(20). 1921–1931. 6 indexed citations
4.
Cascioferro, Stella, Giovanna Li Petri, Barbara Parrino, et al.. (2020). 3-(6-Phenylimidazo [2,1-b][1,3,4]thiadiazol-2-yl)-1H-Indole Derivatives as New Anticancer Agents in the Treatment of Pancreatic Ductal Adenocarcinoma. Molecules. 25(2). 329–329. 49 indexed citations
5.
Rosa, Maria De, et al.. (2019). In Silico Insights towards the Identification of NLRP3 Druggable Hot Spots. International Journal of Molecular Sciences. 20(20). 4974–4974. 22 indexed citations
6.
Perricone, Ugo, Barbara Parrino, Stella Cascioferro, et al.. (2018). An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge. MedChemComm. 9(6). 920–936. 42 indexed citations
7.
Perricone, Ugo, Marcus Wieder, Thomas Seidel, Thierry Langer, & Alessandro Padova. (2018). The Use of Dynamic Pharmacophore in Computer-Aided Hit Discovery: A Case Study. Methods in molecular biology. 1824. 317–333. 1 indexed citations
8.
Perricone, Ugo, Marcus Wieder, Thomas Seidel, et al.. (2017). A Molecular Dynamics–Shared Pharmacophore Approach to Boost Early‐Enrichment Virtual Screening: A Case Study on Peroxisome Proliferator‐Activated Receptor α. ChemMedChem. 12(16). 1399–1407. 22 indexed citations
9.
Fodale, Valentina, Margherita Verani, Cristina Cariulo, et al.. (2014). Polyglutamine- and Temperature-Dependent Conformational Rigidity in Mutant Huntingtin Revealed by Immunoassays and Circular Dichroism Spectroscopy. PLoS ONE. 9(12). e112262–e112262. 34 indexed citations
10.
Zaytsev, Andrey V., Matteo Magnani, Chiara Ghiron, et al.. (2014). Searching for Dual Inhibitors of the MDM2‐p53 and MDMX‐p53 Protein–Protein Interaction by a Scaffold‐Hopping Approach. Chemical Biology & Drug Design. 86(2). 180–189. 12 indexed citations
11.
Topai, Alessandra, et al.. (2012). In silico scaffold evaluation and solid phase approach to identify new gelatinase inhibitors. Bioorganic & Medicinal Chemistry. 20(7). 2323–2337. 11 indexed citations
12.
Agamennone, Mariangela, Daniela Lalli, Elisa Turlizzi, et al.. (2010). Fragmenting the S100B–p53 Interaction: Combined Virtual/Biophysical Screening Approaches to Identify Ligands. ChemMedChem. 5(3). 428–435. 16 indexed citations
13.
Carotti, Andrea, Matteo Magnani, Massimo Baroni, et al.. (2010). Molecular Interaction Fields and 3D-QSAR Studies of p53−MDM2 Inhibitors Suggest Additional Features of Ligand−Target Interaction. Journal of Chemical Information and Modeling. 50(8). 1451–1465. 12 indexed citations
14.
Lamanna, Claudia, et al.. (2008). Straightforward Recursive Partitioning Model for Discarding Insoluble Compounds in the Drug Discovery Process. Journal of Medicinal Chemistry. 51(10). 2891–2897. 62 indexed citations
15.
Bothmann, Hendrick, et al.. (2007). Parallel synthesis of a series of potentially brain penetrant aminoalkyl benzoimidazoles. Bioorganic & Medicinal Chemistry. 16(5). 2313–2328. 5 indexed citations
16.
Gill, Adrian L., Martyn Frederickson, Anne Cleasby, et al.. (2004). Identification of Novel p38α MAP Kinase Inhibitors Using Fragment-Based Lead Generation. Journal of Medicinal Chemistry. 48(2). 414–426. 146 indexed citations
17.
Ramjee, Manoj K., Ian Henderson, Sheila B. McLoughlin, & Alessandro Padova. (2000). The Kinetic and Structural Characterization of the Reaction of Nafamostat with Bovine Pancreatic Trypsin. Thrombosis Research. 98(6). 559–569. 26 indexed citations
18.
Padova, Alessandro, Stanley M. Roberts, Daniele Donati, Carla Marchioro, & Alcide Perboni. (1996). Synthesis of a novel fluoro-tribactam utilising an N-fluorosulfonimide in the key step. Tetrahedron. 52(1). 263–270. 14 indexed citations
19.
Padova, Alessandro, Stanley M. Roberts, Daniele Donati, Carla Marchioro, & Alcide Perboni. (1995). Synthesis of a novel fluoro-tribactam utilising N-fluorosulfommide in the key step. Journal of the Chemical Society Chemical Communications. 661–661. 9 indexed citations
20.
Padova, Alessandro, Stanley M. Roberts, Daniele Donati, Alcide Perboni, & Tino Rossi. (1994). Carbon–carbon bond formation at the C-4 position of an azetidin-2-one ring by intermolecular radical coupling reactions: a route to tribactams. Journal of the Chemical Society Chemical Communications. 0(4). 441–442. 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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