Piera Ghi

52 total papers · 933 total citations
37 papers, 798 citations indexed

About

Piera Ghi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Piera Ghi has authored 37 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Immunology. Recurrent topics in Piera Ghi's work include Receptor Mechanisms and Signaling (11 papers), Mast cells and histamine (9 papers) and Olfactory and Sensory Function Studies (7 papers). Piera Ghi is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Mast cells and histamine (9 papers) and Olfactory and Sensory Function Studies (7 papers). Piera Ghi collaborates with scholars based in Italy. Piera Ghi's co-authors include Marco Orsetti, Anna Dellarole, Pier Luigi Canonico, Carlo Ferretti, L Molinengo, C. Ferretti, Armando A. Genazzani, E Genazzani, Mariagrazia Grilli and Giorgia Quadrato and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Piera Ghi

37 papers receiving 777 citations

Author Peers

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

Author Last Decade Papers Cites
Piera Ghi 273 262 175 149 134 37 798
Marco Orsetti 307 1.1× 290 1.1× 122 0.7× 128 0.9× 85 0.6× 49 829
Maximiliano Rapanelli 205 0.8× 269 1.0× 97 0.6× 190 1.3× 79 0.6× 29 942
Valérie Bertaina‐Anglade 290 1.1× 324 1.2× 123 0.7× 151 1.0× 92 0.7× 19 965
Katherine M. Nautiyal 296 1.1× 231 0.9× 70 0.4× 161 1.1× 86 0.6× 25 769
Martin Hadamitzky 232 0.8× 247 0.9× 93 0.5× 90 0.6× 54 0.4× 48 848
Azair Canto‐de‐Souza 308 1.1× 130 0.5× 168 1.0× 64 0.4× 234 1.7× 41 721
A. N. Chepkova 337 1.2× 259 1.0× 161 0.9× 50 0.3× 124 0.9× 34 890
Astrid Sasse 186 0.7× 315 1.2× 79 0.5× 208 1.4× 76 0.6× 30 1.0k
Paul J. Mitchell 386 1.4× 342 1.3× 237 1.4× 52 0.3× 234 1.7× 27 949
Philippe Pichat 423 1.5× 446 1.7× 99 0.6× 62 0.4× 74 0.6× 26 976

Countries citing papers authored by Piera Ghi

Since Specialization
Citations

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

Fields of papers citing papers by Piera Ghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piera Ghi

This figure shows the co-authorship network connecting the top 25 collaborators of Piera Ghi. A scholar is included among the top collaborators of Piera Ghi 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 Piera Ghi. Piera Ghi 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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