Cristina Mazzucchelli

774 citations
7 papers · 643 indexed · h-index 6
Topics
Neurobiology and Insect Physiology Research (3 papers)Circadian rhythm and melatonin (3 papers)Receptor Mechanisms and Signaling (2 papers)
Partner nations
ItalyFranceSwitzerland

In The Last Decade

Cristina Mazzucchelli

7 papers receiving 627 citations

Peers

Cristina Mazzucchelli
Comparison fields: 5 of 76
  • Molecular Biology 318
  • Cellular and Molecular Neuroscience 280
  • Endocrine and Autonomic Systems 197
  • Cognitive Neuroscience 144
  • Physiology 65
Replace Michael V. Hogan with:
Michael V. Hogan United States
Karla Kretschmannova United States
Luxiang Cao United States
Pavel Pakhotin Russia
Nicola Schiavo Italy
Monique Rogard France
Sandrine De Seranno France
Laurent Massotte Belgium
Jia Bao Pan United States
K. Sato Japan
Cristina Mazzucchelli relative to Michael V. Hogan United States Michael V. Hogan's profile →
Citations per field
00.5×4.8×
Michael V. Hogan · 1×
Citations per year

Countries citing papers authored by Cristina Mazzucchelli

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Mazzucchelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Mazzucchelli

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Mazzucchelli. A scholar is included among the top collaborators of Cristina Mazzucchelli 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 Cristina Mazzucchelli. Cristina Mazzucchelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 376
2 21
3 47
4
Coupling transcription to signaling pathways: cAMP and nuclear factor cAMP-responsive element modulator.
4
5 10
6 149
7 36

About Cristina Mazzucchelli

Cristina Mazzucchelli is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 643 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), Circadian rhythm and melatonin (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (197 citations), Cellular and Molecular Neuroscience (280 citations) and Behavioral Neuroscience (38 citations). Cristina Mazzucchelli has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include F. Fraschini, Romolo Nonno, Marilou Pannacci, Valeria Lucini, Bojidar Stankov, Stefania Fasano, Markus U. Ehrengruber, Paul F. Chapman, Jacques Pouysségur and Anne Marowsky. Their work appears in journals such as Journal of Biological Chemistry, Neuron and British Journal of Pharmacology.

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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