Claudia Sorbi

493 citations
36 papers · 404 indexed · h-index 13
Topics
Receptor Mechanisms and Signaling (19 papers)Pharmacological Receptor Mechanisms and Effects (11 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)
Partner nations
ItalySouth KoreaPoland

In The Last Decade

Claudia Sorbi

36 papers receiving 397 citations

Peers

Claudia Sorbi
Comparison fields: 5 of 68
  • Molecular Biology 284
  • Cellular and Molecular Neuroscience 125
  • Organic Chemistry 113
  • Computational Theory and Mathematics 58
  • Pharmacology 41
Replace Thomas Wein with:
Thomas Wein Germany
Jean‐Louis Soulier France
John Maclean United Kingdom
Annamaria Lubelska Poland
Annalisa Tait Italy
David J. Lapinsky United States
Katarzyna Kucwaj‐Brysz Poland
Giacomo Rossino Italy
Pierre C. Wyss Switzerland
Oleksandr Brener Germany
Claudia Sorbi relative to Thomas Wein Germany Thomas Wein's profile →
Citations per field
00.5×1.5×2.2×
Thomas Wein · 1×
Citations per year

Countries citing papers authored by Claudia Sorbi

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Sorbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Sorbi

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Sorbi. A scholar is included among the top collaborators of Claudia Sorbi 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 Claudia Sorbi. Claudia Sorbi 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
#WorkIndexed citations
1 3
2 14
3 6
4 15
5 1
6 1
7 16
8 9
9 19
10 29
11 1
12 13
13 1
14 22
15 21
16 29
17 12
18 19
19 10
20 9

About Claudia Sorbi

Claudia Sorbi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry, having authored 36 papers that have together received 404 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Pharmacological Receptor Mechanisms and Effects (11 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (125 citations), Biological Psychiatry (14 citations) and Molecular Biology (284 citations). Claudia Sorbi has collaborated with scholars based in Italy, South Korea and Poland. Frequent co-authors include Silvia Franchini, Livio Brasili, Annalisa Tait, Paola Fossa, Gabriella Marucci, Antonio Cilia, Elena Poggesi, Lorenza Pirona, Elena Cichero and Piero Angeli. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Molecules.

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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