Massimo Parlani

1.1k total citations
43 papers, 954 citations indexed

About

Massimo Parlani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Urology. According to data from OpenAlex, Massimo Parlani has authored 43 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 12 papers in Urology. Recurrent topics in Massimo Parlani's work include Neuropeptides and Animal Physiology (18 papers), Urinary Bladder and Prostate Research (12 papers) and Receptor Mechanisms and Signaling (9 papers). Massimo Parlani is often cited by papers focused on Neuropeptides and Animal Physiology (18 papers), Urinary Bladder and Prostate Research (12 papers) and Receptor Mechanisms and Signaling (9 papers). Massimo Parlani collaborates with scholars based in Italy, Sweden and Canada. Massimo Parlani's co-authors include Carlo Alberto Maggi, Bruno Conte, Stefano Manzini, Alberto Meli, Paolo Santicioli, Riccardo Patacchini, Sandro Giuliani, Luigi Abelli, Pierangelo Geppetti and Mara Astolfi and has published in prestigious journals such as Neuroscience, The Journal of Urology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Massimo Parlani

43 papers receiving 924 citations

Peers

Massimo Parlani
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 406
  • Molecular Biology 363
  • Urology 326
  • Physiology 226
  • Organic Chemistry 110
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John Lesnick United States
Yojiro Ukai Japan
Katsushi Shibata Japan
Jean-Pierre Balì France
Paola Petrillo Italy
Yasushi Sakai Japan
Rachel Handy United Kingdom
J.P. Bali France
Concepción Villanueva Spain
J. Hörig Sweden
John Lesnick United States View profile →
Citations per field, relative to Massimo Parlani
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Citations per year, relative to Massimo Parlani
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Countries citing papers authored by Massimo Parlani

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Parlani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Parlani

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Parlani. A scholar is included among the top collaborators of Massimo Parlani 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 Massimo Parlani. Massimo Parlani 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
# Work Indexed citations
1 7
2 11
3 27
4 6
5 74
6 31
7 5
8 11
9 9
10 3
11 25
12 33
13 9
14 23
15 4
16 35
17 46
18 56
19 2
20
Further studies on the pharmacodynamic properties and organ selectivity of octylonium bromide.
4

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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