Davide Calebiro

6.7k total citations
92 papers, 4.1k citations indexed

About

Davide Calebiro is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Davide Calebiro has authored 92 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 34 papers in Endocrinology, Diabetes and Metabolism and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Davide Calebiro's work include Receptor Mechanisms and Signaling (45 papers), Neuropeptides and Animal Physiology (18 papers) and Hormonal Regulation and Hypertension (14 papers). Davide Calebiro is often cited by papers focused on Receptor Mechanisms and Signaling (45 papers), Neuropeptides and Animal Physiology (18 papers) and Hormonal Regulation and Hypertension (14 papers). Davide Calebiro collaborates with scholars based in Germany, United Kingdom and Italy. Davide Calebiro's co-authors include Martin J. Lohse, Luca Persani, Viacheslav O. Nikolaev, Titiwat Sungkaworn, Tiziana de Filippis, Amod Godbole, Marie‐Lise Jobin, Isabella Maiellaro, Maria Cristina Gagliani and Carlo Tacchetti and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Davide Calebiro

89 papers receiving 4.1k citations

Peers

Davide Calebiro
Comparison fields: 5 of 130
  • Molecular Biology 2.8k
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Surgery 515
  • Cell Biology 338
Replace Anthony Carruthers with:
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Sadashiva S. Karnik United States
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Walter Rosenthal Germany
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Citations per field, relative to Davide Calebiro
Davide Calebiro · 1×
Citations per year, relative to Davide Calebiro
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Countries citing papers authored by Davide Calebiro

Since Specialization
Citations

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

Fields of papers citing papers by Davide Calebiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Calebiro

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Calebiro. A scholar is included among the top collaborators of Davide Calebiro 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 Davide Calebiro. Davide Calebiro 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
# Work Indexed citations
1 1
2 2
3 2
4 9
5 60
6 16
7 20
8 66
9 45
10 15
11 59
12 50
13 82
14 345
15 40
16 5
17 58
18
Prevalence of inactivating TSH receptor (TSHR) mutations in a large series of pediatric subjects with non-autoimmune mild hyper-thyrotropinemia (hyperTSH)
2
19 95
20 17

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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