Carmen Parisio

29 total papers · 497 total citations
23 papers, 371 citations indexed

About

Carmen Parisio is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Carmen Parisio has authored 23 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Pharmacology. Recurrent topics in Carmen Parisio's work include Pain Mechanisms and Treatments (7 papers), Gastrointestinal motility and disorders (4 papers) and Pharmacological Effects of Natural Compounds (3 papers). Carmen Parisio is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Gastrointestinal motility and disorders (4 papers) and Pharmacological Effects of Natural Compounds (3 papers). Carmen Parisio collaborates with scholars based in Italy, United States and Türkiye. Carmen Parisio's co-authors include Carla Ghelardini, Lorenzo Di Cesare Mannelli, Elena Lucarini, Laura Micheli, Alessandra Toti, Alessandra Pacini, Lorenzo Cinci, Gianluca Bartolucci, Laura Calosi and Paola Failli and has published in prestigious journals such as Pain, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Carmen Parisio

22 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carmen Parisio 144 123 51 47 40 23 371
Saima Zameer 121 0.8× 100 0.8× 70 1.4× 15 0.3× 39 1.0× 20 446
Nazanin Momeni Roudsari 140 1.0× 42 0.3× 34 0.7× 26 0.6× 39 1.0× 27 424
Yoko Kogure 104 0.7× 108 0.9× 29 0.6× 30 0.6× 11 0.3× 18 368
Arturo Colón Rodríguez 111 0.8× 63 0.5× 41 0.8× 39 0.8× 33 0.8× 22 353
Ramy M. Ammar 154 1.1× 61 0.5× 22 0.4× 70 1.5× 14 0.3× 21 378
Naser‐Aldin Lashgari 128 0.9× 38 0.3× 33 0.6× 22 0.5× 29 0.7× 30 397
S. Dai 108 0.8× 78 0.6× 28 0.5× 39 0.8× 15 0.4× 32 397
Juan Rodríguez‐Silverio 133 0.9× 125 1.0× 65 1.3× 11 0.2× 17 0.4× 37 433
Hiromichi Niida 94 0.7× 87 0.7× 82 1.6× 82 1.7× 17 0.4× 20 403
Toshiaki Nagano 76 0.5× 78 0.6× 24 0.5× 58 1.2× 34 0.8× 24 426

Countries citing papers authored by Carmen Parisio

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Parisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Parisio

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Parisio. A scholar is included among the top collaborators of Carmen Parisio 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 Carmen Parisio. Carmen Parisio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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