Andrea Bortolato

3.6k total citations
49 papers, 2.8k citations indexed

About

Andrea Bortolato is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Bortolato has authored 49 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 13 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Bortolato's work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (14 papers) and Computational Drug Discovery Methods (13 papers). Andrea Bortolato is often cited by papers focused on Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (14 papers) and Computational Drug Discovery Methods (13 papers). Andrea Bortolato collaborates with scholars based in Italy, United States and Netherlands. Andrea Bortolato's co-authors include Fiona H. Marshall, Jonathan S. Mason, Kaspar Hollenstein, A.S. Dore, Malcolm Weir, Roger Cooke, Stefano Moro, Chris de Graaf, Benjamin G. Tehan and Raymond C. Stevens and has published in prestigious journals such as Nature, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Andrea Bortolato

49 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Bortolato Italy 23 2.3k 1.1k 549 322 285 49 2.8k
A.S. Dore United Kingdom 26 3.2k 1.4× 1.6k 1.4× 447 0.8× 506 1.6× 235 0.8× 37 3.6k
Céline Valant Australia 29 3.0k 1.3× 1.9k 1.6× 521 0.9× 393 1.2× 237 0.8× 70 3.4k
Lauren T. May Australia 37 3.0k 1.3× 1.6k 1.4× 365 0.7× 301 0.9× 180 0.6× 89 4.0k
Daniel Wacker United States 19 3.2k 1.4× 2.1k 1.8× 610 1.1× 477 1.5× 173 0.6× 34 4.0k
Misty M. Attwood Sweden 14 2.6k 1.2× 854 0.7× 381 0.7× 337 1.0× 194 0.7× 22 3.6k
Thomas M. Frimurer Denmark 35 2.6k 1.2× 1.0k 0.9× 335 0.6× 373 1.2× 302 1.1× 89 3.6k
Syed Tasadaque Ali Shah Germany 21 2.9k 1.3× 1.3k 1.1× 248 0.5× 423 1.3× 105 0.4× 49 3.8k
Mark T. Griffith United States 11 3.3k 1.5× 1.6k 1.4× 359 0.7× 500 1.6× 88 0.3× 11 3.8k
David M. Thal Australia 22 2.2k 1.0× 1.1k 1.0× 250 0.5× 313 1.0× 157 0.6× 41 2.5k
Veli‐Pekka Jaakola Finland 18 2.9k 1.3× 1.4k 1.2× 373 0.7× 435 1.4× 64 0.2× 37 3.3k

Countries citing papers authored by Andrea Bortolato

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Bortolato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Bortolato

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bortolato. A scholar is included among the top collaborators of Andrea Bortolato 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 Andrea Bortolato. Andrea Bortolato 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.
Glick, Zachary L., et al.. (2024). Directional ΔG Neural Network (DrΔG-Net): A Modular Neural Network Approach to Binding Free Energy Prediction. Journal of Chemical Information and Modeling. 64(6). 1907–1918. 3 indexed citations
2.
Tom, Gary, et al.. (2024). Machine Learning Guided AQFEP: A Fast and Efficient Absolute Free Energy Perturbation Solution for Virtual Screening. Journal of Chemical Theory and Computation. 7 indexed citations
3.
Bortolato, Andrea, Yongnian Sun, Chon Lai, et al.. (2023). On Ternary Complex Stability in Protein Degradation: In Silico Molecular Glue Binding Affinity Calculations. Journal of Chemical Information and Modeling. 63(8). 2382–2392. 15 indexed citations
4.
5.
Bortolato, Andrea, et al.. (2020). Continuous stellate ganglion block in delayed cerebral ischemia: A possible supplementary approach to traditional therapy?. Journal of Anaesthesiology Clinical Pharmacology. 36(2). 265–265. 4 indexed citations
6.
Feltracco, Paolo, Stefania Barbieri, Cristiana Carollo, et al.. (2019). Early circulatory complications in liver transplant patients. Transplantation Reviews. 33(4). 219–230. 7 indexed citations
7.
Feltracco, Paolo, Andrea Bortolato, Stefania Barbieri, et al.. (2017). Perioperative benefit and outcome of thoracic epidural in esophageal surgery: a clinical review. Diseases of the Esophagus. 31(5). 24 indexed citations
8.
Deganutti, Giuseppe, Andrei Zhukov, Francesca Deflorian, et al.. (2017). Impact of protein–ligand solvation and desolvation on transition state thermodynamic properties of adenosine A2A ligand binding kinetics. In Silico Pharmacology. 5(1). 16–16. 14 indexed citations
9.
Jazayeri, Ali, Mathieu Rappas, Alastair Brown, et al.. (2017). Crystal structure of the GLP-1 receptor bound to a peptide agonist. Nature. 546(7657). 254–258. 136 indexed citations
10.
Hošek, Petr, et al.. (2016). Altruistic Metadynamics: Multisystem Biased Simulation. The Journal of Physical Chemistry B. 120(9). 2209–2215. 15 indexed citations
11.
Weiss, Dahlia R., Andrea Bortolato, Benjamin G. Tehan, & Jonathan Mason. (2016). GPCR-Bench: A Benchmarking Set and Practitioners’ Guide for G Protein-Coupled Receptor Docking. Journal of Chemical Information and Modeling. 56(4). 642–651. 21 indexed citations
12.
Ísberg, Vignir, Chris de Graaf, Andrea Bortolato, et al.. (2014). Generic GPCR residue numbers – aligning topology maps while minding the gaps. Trends in Pharmacological Sciences. 36(1). 22–31. 359 indexed citations
13.
Tehan, Benjamin G., Andrea Bortolato, Frank E. Blaney, Malcolm Weir, & Jonathan S. Mason. (2014). Unifying Family A GPCR Theories of Activation. Pharmacology & Therapeutics. 143(1). 51–60. 159 indexed citations
14.
Hollenstein, Kaspar, James Kean, Andrea Bortolato, et al.. (2013). Structure of class B GPCR corticotropin-releasing factor receptor 1. Nature. 499(7459). 438–443. 332 indexed citations
15.
Johnston, Jennifer M., Mahalaxmi Aburi, Davide Provasi, et al.. (2011). Making Structural Sense of Dimerization Interfaces of Delta Opioid Receptor Homodimers. Biochemistry. 50(10). 1682–1690. 63 indexed citations
16.
Bertini, Simone, Carlotta Granchi, Filippo Minutolo, et al.. (2010). BACE1 inhibitory activities of enantiomerically pure, variously substituted N-(3-(4-benzhydrylpiperazin-1-yl)-2-hydroxypropyl) arylsulfonamides. Bioorganic & Medicinal Chemistry. 18(22). 7991–7996. 5 indexed citations
17.
Cozza, Giorgio, Andrea Bortolato, Ernesto Menta, et al.. (2009). ATP Non-Competitive Ser/Thr Kinase Inhibitors as Potential Anticancer Agents. Anti-Cancer Agents in Medicinal Chemistry. 9(7). 778–786. 10 indexed citations
18.
Cozza, Giorgio, Andrea Bortolato, & Stefano Moro. (2009). How druggable is protein kinase CK2?. Medicinal Research Reviews. 30(3). 419–462. 53 indexed citations
19.
Bertini, Simone, Maria Digiacomo, Carlotta Granchi, et al.. (2008). α‐Naphthylaminopropan‐2‐ol Derivatives as BACE1 Inhibitors. ChemMedChem. 3(10). 1530–1534. 21 indexed citations
20.
Bertini, Simone, Maria Digiacomo, Carlotta Granchi, et al.. (2008). alpha-Naphtylaminopropan-2-ol derivatives as BACE1 inhibitors. CINECA IRIS Institutial research information system (University of Pisa). 5 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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