Davide Calebiro

6.8k citations
93 papers · 4.4k · h-index 37

Impact in

Papers in

Davide Calebiro

91 papers receiving 4.3k citations

Peers

Davide Calebiro
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cellular and Molecular Neuroscience 1.3k
  • Biophysics 251
  • Molecular Biology 2.8k
  • Physiology 107
Replace Michele Solimena with:
Michele Solimena Germany
Lea M.D. Delbridge Australia
Ronald M. Lynch United States
Arun K. Shukla India
Alexander S. Hauser Denmark
Jesper Mosolff Mathiesen Denmark
J Lacapère France
Manuela Zaccolo United Kingdom
Péter Várnai Hungary
Richard K.P. Benninger United States
Davide Calebiro relative to Michele Solimena Germany Michele Solimena's profile →
Citations per field
00.5×2.9×
Michele Solimena · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Davide Calebiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Calebiro Line = papers co-authored together Davide Calebiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009466
2 2012372
3 2017240
4 2010209
5 2009204
6 2009192
7 2011169
8 2017139
9 2005106
10 201489
11 201688
12 202085
13 201684
14 201883
15 201081
16 201968
17 201667
18 202165
19 201760
20 201059

About Davide Calebiro

Davide Calebiro is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 93 papers that have together received 4.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (43 papers), Neuropeptides and Animal Physiology (18 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Hormonal Regulation and Hypertension (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Thyroid Disorders and Treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Pituitary Gland Disorders and Treatments (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cellular and Molecular Neuroscience (1.3k citations), Biophysics (251 citations), Molecular Biology (2.8k citations) and Physiology (107 citations). Davide Calebiro has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Martin J. Lohse, Luca Persani, Viacheslav O. Nikolaev, Titiwat Sungkaworn, Tiziana de Filippis, Amod Godbole, Marie‐Lise Jobin, Maria Cristina Gagliani, Isabella Maiellaro and Christian Dees. Their work appears in journals such as Endocrinology, Nature Communications, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research and Science Advances.

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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