Veronica Salmaso

1.4k total citations · 1 hit paper
50 papers, 1.0k citations indexed

About

Veronica Salmaso is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Veronica Salmaso has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Physiology and 14 papers in Organic Chemistry. Recurrent topics in Veronica Salmaso's work include Adenosine and Purinergic Signaling (25 papers), Receptor Mechanisms and Signaling (21 papers) and Pharmacological Receptor Mechanisms and Effects (13 papers). Veronica Salmaso is often cited by papers focused on Adenosine and Purinergic Signaling (25 papers), Receptor Mechanisms and Signaling (21 papers) and Pharmacological Receptor Mechanisms and Effects (13 papers). Veronica Salmaso collaborates with scholars based in Italy, United States and Germany. Veronica Salmaso's co-authors include Stefano Moro, Mattia Sturlese, Alberto Cuzzolin, Kenneth A. Jacobson, Giuseppe Deganutti, Davide Sabbadin, Antonella Ciancetta, Zhan‐Guo Gao, Dilip K. Tosh and John A. Auchampach and has published in prestigious journals such as Journal of the American Chemical Society, International Journal of Molecular Sciences and Nature Chemistry.

In The Last Decade

Veronica Salmaso

47 papers receiving 1.0k citations

Hit Papers

Bridging Molecular Docking to Molecular Dynamics in Explo... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Veronica Salmaso
Gergely M. Makara United States
Veronica Salmaso
Citations per year, relative to Veronica Salmaso Veronica Salmaso (= 1×) peers Gergely M. Makara

Countries citing papers authored by Veronica Salmaso

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Salmaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Salmaso

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Salmaso. A scholar is included among the top collaborators of Veronica Salmaso 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 Veronica Salmaso. Veronica Salmaso 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.
Sturlese, Mattia, et al.. (2025). Post-Docking Refinement of Peptide or Protein-RNA Complexes Using Thermal Titration Molecular Dynamics (TTMD): A Stability Insight. Journal of Chemical Information and Modeling. 65(3). 1441–1452. 3 indexed citations
2.
Pavan, Matteo, et al.. (2025). Thermal Titration Molecular Dynamics: The Revenge of the Fragments. Journal of Chemical Information and Modeling. 65(3). 1492–1513. 1 indexed citations
3.
Sturlese, Mattia, et al.. (2024). A second life for the crystallographic structure of Berenil-dodecanucleotide complex: a computational revisitation thirty years after its publication. Medicinal Chemistry Research. 33(11). 2101–2109. 1 indexed citations
4.
Pavan, Matteo, Veronica Salmaso, Tina C. Wan, et al.. (2024). Lipid Trolling to Optimize A3 Adenosine Receptor-Positive Allosteric Modulators (PAMs). Journal of Medicinal Chemistry. 67(14). 12221–12247. 6 indexed citations
5.
Bassani, Davide, Veronica Salmaso, Filippo Prencipe, et al.. (2024). 7-Amino-[1,2,4]triazolo[1,5-a][1,3,5]triazines as CK1δ inhibitors: Exploring substitutions at the 2 and 5-positions. Bioorganic Chemistry. 151. 107659–107659.
6.
Pavan, Matteo, Veronica Salmaso, Robert F. Keyes, et al.. (2024). Extrahelical Binding Site for a 1H-Imidazo[4,5-c]quinolin-4-amine A3 Adenosine Receptor Positive Allosteric Modulator on Helix 8 and Distal Portions of Transmembrane Domains 1 and 7. Molecular Pharmacology. 105(3). 213–223. 8 indexed citations
7.
Pavan, Matteo, et al.. (2023). Thermal titration molecular dynamics (TTMD): shedding light on the stability of RNA-small molecule complexes. Frontiers in Molecular Biosciences. 10. 1294543–1294543. 7 indexed citations
8.
Zhang, Hai‐Jun, Michał Ociepa, Veronica Salmaso, et al.. (2023). Stereocontrolled access to thioisosteres of nucleoside di- and triphosphates. Nature Chemistry. 16(2). 249–258. 16 indexed citations
9.
Oliva, Paola, Silvia Pasquini, Veronica Salmaso, et al.. (2023). 2-Amino-5-arylethynyl-thiophen-3-yl-(phenyl)methanones as A1 Adenosine Receptor Positive Allosteric Modulators. ACS Medicinal Chemistry Letters. 14(12). 1640–1646.
10.
Tosh, Dilip K., Veronica Salmaso, Tina C. Wan, et al.. (2023). First Potent Macrocyclic A3 Adenosine Receptor Agonists Reveal G-Protein and β-Arrestin2 Signaling Preferences. ACS Pharmacology & Translational Science. 6(9). 1288–1305. 2 indexed citations
11.
Salmaso, Veronica, Kwan‐Young Jung, Qasim Shah, et al.. (2022). Bridged Piperidine Analogues of a High Affinity Naphthalene-Based P2Y14R Antagonist. Journal of Medicinal Chemistry. 65(4). 3434–3459. 14 indexed citations
12.
Toti, Kiran S., et al.. (2022). Fluorescent A2A and A3 adenosine receptor antagonists as flow cytometry probes. Purinergic Signalling. 19(3). 565–578. 3 indexed citations
13.
Tosh, Dilip K., Veronica Salmaso, Eline Pottie, et al.. (2021). A3 adenosine receptor agonists containing dopamine moieties for enhanced interspecies affinity. European Journal of Medicinal Chemistry. 228. 113983–113983. 6 indexed citations
14.
Salmaso, Veronica, Shanu Jain, & Kenneth A. Jacobson. (2021). Purinergic GPCR transmembrane residues involved in ligand recognition and dimerization. Methods in cell biology. 166. 133–159. 1 indexed citations
15.
Guarise, Cristian, et al.. (2021). Amphiphilic peptide-based MMP3 inhibitors for intra-articular treatment of knee OA. Bioorganic & Medicinal Chemistry. 38. 116132–116132. 5 indexed citations
16.
Salmaso, Veronica & Stefano Moro. (2018). Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview. Frontiers in Pharmacology. 9. 923–923. 460 indexed citations breakdown →
17.
Sabbadin, Davide, Veronica Salmaso, Mattia Sturlese, & Stefano Moro. (2018). Supervised Molecular Dynamics (SuMD) Approaches in Drug Design. Methods in molecular biology. 1824. 287–298. 15 indexed citations
18.
Salmaso, Veronica, Mattia Sturlese, Alberto Cuzzolin, & Stefano Moro. (2017). Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2. Journal of Computer-Aided Molecular Design. 32(1). 251–264. 27 indexed citations
19.
Salmaso, Veronica, Mattia Sturlese, Alberto Cuzzolin, & Stefano Moro. (2017). Exploring Protein-Peptide Recognition Pathways Using a Supervised Molecular Dynamics Approach. Structure. 25(4). 655–662.e2. 53 indexed citations
20.
Bertini, Simone, Filippo Minutolo, Simona Rapposelli, et al.. (2017). Sulfonamido-derivatives of unsubstituted carbazoles as BACE1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 27(21). 4812–4816. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026