Daniela Bertinetti

1.5k citations
41 papers · 1.0k indexed · h-index 20

Daniela Bertinetti

39 papers receiving 1.0k citations

Peers

Daniela Bertinetti
Comparison fields: 5 of 99
  • Molecular Biology 816
  • Physiology 45
  • Cellular and Molecular Neuroscience 151
  • Neurology 74
  • Cell Biology 77
Replace Janet E. McCombs with:
Janet E. McCombs United States
Thomas Clairfeuille Australia
Steven A. Titus United States
Michael W. Hofmann Germany
Elena Ingerman United States
Lars Israel Germany
Martin Gamerdinger Germany
Ashraf Kitmitto United Kingdom
Stephan Schenck Switzerland
Gil Bu Kang South Korea
Daniela Bertinetti relative to Janet E. McCombs United States Janet E. McCombs's profile →
Citations per field
00.5×3.2×
Janet E. McCombs · 1×
Citations per year

Countries citing papers authored by Daniela Bertinetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bertinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniela Bertinetti, 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 Daniela Bertinetti Line = papers co-authored together Daniela Bertinetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20233
4 20234
5 202236
6 20214
7 202033
8 20195
9 201812
10 20187
11 201711
12 20179
13 201521
14 201523
15 20131
16 201353
17 201331
18 201146
19 201148
20 201017

About Daniela Bertinetti

Daniela Bertinetti is a scholar working on Physiology, Molecular Biology, Endocrinology, Cell Biology and Oncology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (12 papers), Receptor Mechanisms and Signaling (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Chemical Synthesis and Analysis (6 papers), Ubiquitin and proteasome pathways (4 papers), Signaling Pathways in Disease (4 papers), 14-3-3 protein interactions (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Molecular Biology (816 citations), Physiology (45 citations), Cellular and Molecular Neuroscience (151 citations), Neurology (74 citations) and Cell Biology (77 citations). Daniela Bertinetti has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Friedrich W. Herberg, Frank Schwede, Bastian Zimmermann, Hans‐Gottfried Genieser, Matthias J. Knape, Eileen J. Kennedy, Robin Lorenz, Susan S. Taylor, Arie Geerlof and Marius Ueffing. Their work appears in journals such as ACS Chemical Biology, New Biotechnology, BMC Pharmacology and Toxicology, Biochemical Journal and Molecular Endocrinology.

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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