Lucia Bacciottini

31 total papers · 860 total citations
23 papers, 674 citations indexed

About

Lucia Bacciottini is a scholar working on Molecular Biology, Sensory Systems and Immunology. According to data from OpenAlex, Lucia Bacciottini has authored 23 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Sensory Systems and 7 papers in Immunology. Recurrent topics in Lucia Bacciottini's work include Olfactory and Sensory Function Studies (7 papers), Mast cells and histamine (7 papers) and Receptor Mechanisms and Signaling (5 papers). Lucia Bacciottini is often cited by papers focused on Olfactory and Sensory Function Studies (7 papers), Mast cells and histamine (7 papers) and Receptor Mechanisms and Signaling (5 papers). Lucia Bacciottini collaborates with scholars based in Italy, Germany and United States. Lucia Bacciottini's co-authors include Patrizio Blandina, Maria Beatrice Passani, Pier Francesco Mannaioni, Marco Cecchi, Marco Giorgetti, M. Giovannini, Flavio Moroni, Domenico E. Pellegrini‐Giampietro, Maria Luisa Brandi and Maria Alessandra Colivicchi and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, British Journal of Pharmacology and European Journal of Neuroscience.

In The Last Decade

Lucia Bacciottini

23 papers receiving 653 citations

Author Peers

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

Author Last Decade Papers Cites
Lucia Bacciottini 303 250 214 144 108 23 674
A Yamatodani 213 0.7× 298 1.2× 212 1.0× 138 1.0× 90 0.8× 27 600
Fumito Naganuma 198 0.7× 208 0.8× 144 0.7× 109 0.8× 154 1.4× 26 612
Saara Nuutinen 389 1.3× 365 1.5× 226 1.1× 187 1.3× 90 0.8× 18 682
И. Н. Шаронова 419 1.4× 132 0.5× 124 0.6× 404 2.8× 99 0.9× 38 759
Marina I. Strakhova 363 1.2× 393 1.6× 170 0.8× 132 0.9× 79 0.7× 21 713
Yossan‐Var Tan 408 1.3× 112 0.4× 47 0.2× 500 3.5× 89 0.8× 26 791
Jun Ma 229 0.8× 73 0.3× 45 0.2× 203 1.4× 92 0.9× 24 780
Eriko Furube 138 0.5× 131 0.5× 70 0.3× 93 0.6× 91 0.8× 22 647
Parvin Rostami 273 0.9× 67 0.3× 59 0.3× 407 2.8× 39 0.4× 29 640
Zhang‐Peng Chen 232 0.8× 88 0.4× 48 0.2× 105 0.7× 38 0.4× 18 637

Countries citing papers authored by Lucia Bacciottini

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Bacciottini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Bacciottini

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