Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Interleukin-1beta enhances NMDA receptor-mediated intracellular calcium increase through activation of the Src family of kinases.
2003731 citationsBarbara Viviani, Emanuela Corsini et al.PubMedprofile →
Interleukin-1β Enhances NMDA Receptor-Mediated Intracellular Calcium Increase through Activation of the Src Family of Kinases
2003723 citationsBarbara Viviani, Emanuela Corsini et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of C. Galli'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 C. Galli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Galli more than expected).
This network shows the impact of papers produced by C. Galli. 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 C. Galli. The network helps show where C. Galli may publish in the future.
Co-authorship network of co-authors of C. Galli
This figure shows the co-authorship network connecting the top 25 collaborators of C. Galli.
A scholar is included among the top collaborators of C. Galli 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 C. Galli. C. Galli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bodin, Laurent, Pieter Jan Coenraads, Mária Dušinská, et al.. (2021). The SCCS Notes of guidance for the testing of cosmetic ingredients and their safety evaluation – 11th Revision - SCCS/1628/21. HAL (Le Centre pour la Communication Scientifique Directe).4 indexed citations
Alexander, Jan, Guðjón Atli Auðunsson, D. Benford, et al.. (2008). Opinion of the Scientific Panel on Contaminants in the food chain on a request from the European Commission on marine biotoxines in shellfish okadaic acid and analogues. OpenAgrar.147 indexed citations
Cattaneo, Agnese, Cinzia Ballabio, A Bertelli, et al.. (2003). Evaluation of residual immunoreactivity in red and white wines clarified with gluten or gluten derivatives.. PubMed. 25(2). 57–64.5 indexed citations
11.
Restani, Patrizia, et al.. (2002). Evaluation by SDS-Page and immunoblotting of residual antigenicity in gluten-treated wine: a preliminary study.. PubMed. 24(2). 45–51.5 indexed citations
Fiorentini, Cesare, et al.. (1989). Hemodynamic and renin response to nifedipine in renovascular hypertension. 34(9). 793–796.2 indexed citations
20.
Guazzi, Marco, Nicoletta De Cesare, & C. Galli. (1985). LA NIFEDIPINE EN TANT QU'ANTIHYPERTENSEUR VASODILATATEUR D'EFFET RAPIDE. Archives Des Maladies Du Coeur Et Des Vaisseaux. 78. 59–65.2 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.