Girolamo Calò

12.5k total citations
322 papers, 9.7k citations indexed

About

Girolamo Calò is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Girolamo Calò has authored 322 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 266 papers in Cellular and Molecular Neuroscience, 224 papers in Molecular Biology and 81 papers in Physiology. Recurrent topics in Girolamo Calò's work include Neuropeptides and Animal Physiology (250 papers), Receptor Mechanisms and Signaling (200 papers) and Pain Mechanisms and Treatments (69 papers). Girolamo Calò is often cited by papers focused on Neuropeptides and Animal Physiology (250 papers), Receptor Mechanisms and Signaling (200 papers) and Pain Mechanisms and Treatments (69 papers). Girolamo Calò collaborates with scholars based in Italy, United Kingdom and United States. Girolamo Calò's co-authors include Remo Guerrini, D. Regoli, Severo Salvadori, Anna Rizzi, David G. Lambert, Elaine C. Gavioli, Claudio Trapella, Giuliano Marzola, Raffaella Bigoni and Chiara Ruzza and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Girolamo Calò

317 papers receiving 9.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Girolamo Calò Italy 52 7.5k 6.2k 2.9k 969 910 322 9.7k
Volker Höllt Germany 61 6.0k 0.8× 5.2k 0.8× 1.8k 0.6× 592 0.6× 328 0.4× 183 10.3k
James E. Krause United States 50 5.5k 0.7× 4.5k 0.7× 2.1k 0.7× 475 0.5× 743 0.8× 162 8.9k
Akemichi Baba Japan 51 5.3k 0.7× 4.5k 0.7× 1.2k 0.4× 946 1.0× 532 0.6× 287 9.5k
Stephen M. Sagar United States 56 3.8k 0.5× 3.6k 0.6× 1.8k 0.6× 453 0.5× 193 0.2× 174 10.1k
G. Le Fur France 48 5.0k 0.7× 3.6k 0.6× 1.1k 0.4× 482 0.5× 316 0.3× 130 8.2k
Frank Porreca United States 56 6.9k 0.9× 6.2k 1.0× 6.0k 2.1× 893 0.9× 117 0.1× 295 12.4k
Josephine Lai United States 53 5.3k 0.7× 4.5k 0.7× 6.8k 2.4× 927 1.0× 160 0.2× 150 11.1k
Masamichi Satoh Japan 58 5.4k 0.7× 3.4k 0.5× 4.3k 1.5× 612 0.6× 120 0.1× 188 9.6k
Masabumi Minami Japan 57 4.3k 0.6× 3.5k 0.6× 2.6k 0.9× 378 0.4× 107 0.1× 248 9.5k
R A North United States 56 7.8k 1.0× 6.8k 1.1× 1.4k 0.5× 343 0.4× 124 0.1× 101 11.0k

Countries citing papers authored by Girolamo Calò

Since Specialization
Citations

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

Fields of papers citing papers by Girolamo Calò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girolamo Calò

This figure shows the co-authorship network connecting the top 25 collaborators of Girolamo Calò. A scholar is included among the top collaborators of Girolamo Calò 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 Girolamo Calò. Girolamo Calò 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.
Pola, P., Matilde Marini, Francesco De Logu, et al.. (2025). Activation of peripheral NOP receptors reduces periorbital mechanical allodynia evoked by CGRP in mice. British Journal of Pharmacology.
2.
3.
Ruzza, Chiara, Federica Ferrari, P. Pola, et al.. (2024). In vitro pharmacological characterization of growth hormone secretagogue receptor ligands using the dynamic mass redistribution and calcium mobilization assays. European Journal of Pharmacology. 981. 176880–176880. 1 indexed citations
4.
Targowska‐Duda, Katarzyna M., Jennifer J. Schoch, Chiara Ruzza, et al.. (2023). Preclinical effects of cannabidiol in an experimental model of migraine. Pain. 164(11). 2540–2552. 9 indexed citations
5.
Willets, Jonathon M., et al.. (2023). In vitro sepsis up‐regulates Nociceptin/Orphanin FQ receptor expression and function on human T‐ but not B‐cells. British Journal of Pharmacology. 180(17). 2298–2314. 3 indexed citations
6.
Bilel, Sabrine, Raffaella Arfè, Micaela Tirri, et al.. (2022). In vitro and in vivo pharmaco-dynamic study of the novel fentanyl derivatives: Acrylfentanyl, Ocfentanyl and Furanylfentanyl. Neuropharmacology. 209. 109020–109020. 26 indexed citations
7.
Costanzini, Anna, Chiara Ruzza, Davide Malfacini, et al.. (2021). Pharmacological characterization of naloxegol: In vitro and in vivo studies. European Journal of Pharmacology. 903. 174132–174132. 3 indexed citations
8.
9.
Ferrari, Federica, Sabrina Rizzo, Chiara Ruzza, & Girolamo Calò. (2020). Detailed In Vitro Pharmacological Characterization of the Clinically Viable Nociceptin/Orphanin FQ Peptide Receptor Antagonist BTRX-246040. Journal of Pharmacology and Experimental Therapeutics. 373(1). 34–43. 13 indexed citations
10.
Lee, Ming Tatt, Yu‐Ting Chiu, Hsin‐Jung Lee, et al.. (2020). Neuropeptide S-initiated sequential cascade mediated by OX1, NK1, mGlu5 and CB1 receptors: a pivotal role in stress-induced analgesia. Journal of Biomedical Science. 27(1). 7–7. 19 indexed citations
11.
Costanzini, Anna, et al.. (2020). Biased versus Partial Agonism in the Search for Safer Opioid Analgesics. Molecules. 25(17). 3870–3870. 60 indexed citations
12.
Dietis, Nikolas, J. McDonald, Valentina Ruggieri, et al.. (2018). In vitroandin vivocharacterization of the bifunctional μ and δ opioid receptor ligand UFP‐505. British Journal of Pharmacology. 175(14). 2881–2896. 17 indexed citations
13.
Kushikata, Tetsuya, et al.. (2017). Central noradrenergic activity affects analgesic effect of Neuropeptide S. Journal of Anesthesia. 32(1). 48–53. 10 indexed citations
14.
Guerrini, Remo, Erika Marzola, Claudio Trapella, et al.. (2015). Structure activity studies of nociceptin/orphanin FQ(1–13)-NH2 derivatives modified in position 5. Bioorganic & Medicinal Chemistry. 23(7). 1515–1520. 6 indexed citations
15.
Slattery, David A., Roshan Ratnakar Naik, Thomas Grund, et al.. (2015). Selective Breeding for High Anxiety Introduces a Synonymous SNP That Increases Neuropeptide S Receptor Activity. Journal of Neuroscience. 35(11). 4599–4613. 50 indexed citations
16.
Camarda, Valeria & Girolamo Calò. (2012). Chimeric G Proteins in Fluorimetric Calcium Assays: Experience with Opioid Receptors. Methods in molecular biology. 937. 293–306. 55 indexed citations
17.
Camarda, Valeria, Paola Molinari, Caterina Ambrosio, et al.. (2009). Pharmacological profile of NOP receptors coupled with calcium signaling via the chimeric protein Gαqi5. Naunyn-Schmiedeberg s Archives of Pharmacology. 379(6). 599–607. 59 indexed citations
18.
Ono, Tomoko, Yoko Kawaguchi, Mihoko Kudo, et al.. (2008). Urotensin II evokes neurotransmitter release from rat cerebrocortical slices. Neuroscience Letters. 440(3). 275–279. 14 indexed citations
19.
Bigoni, Raffaella, A. Rizzi, Daniela Rizzi, et al.. (2000). In vitro pharmacological profile of peptide III-BTD. Life Sciences. 68(2). 233–239. 11 indexed citations
20.
Regoli, D., Anna Rizzi, & Girolamo Calò. (1997). PHARMACOLOGY OF THE KALLIKREIN–KININ SYSTEM. Pharmacological Research. 35(6). 513–515. 7 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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