Chiara Ruzza

57 papers receiving 1.1k citations

Peers

Chiara Ruzza
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 921
  • Behavioral Neuroscience 126
  • Endocrine and Autonomic Systems 231
  • Cognitive Neuroscience 365
  • Physiology 257
Replace Giuliano Marzola with:
Giuliano Marzola Italy
Thierry Jolas France
Alessandra Oberto Italy
Amalia Fedeli Italy
Valérie Compan France
Paul J. Kruzich United States
Michael J. Kuhar United States
Eugene D. Festa United States
J.-C. Martel Canada
Richard E. Tessel United States
Chiara Ruzza relative to Giuliano Marzola Italy Giuliano Marzola's profile →
Citations per field
00.5×7.5×
Giuliano Marzola · 1×
Citations per year

Countries citing papers authored by Chiara Ruzza

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Ruzza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008163
2 202060
3 201659
4 200854
5 200853
6 201052
7 201242
8 201640
9 201239
10 201532
11 201427
12 200826
13 201225
14 201525
15 201824
16 200924
17 201623
18 201821
19 201119
20 201718

About Chiara Ruzza

Chiara Ruzza is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (55 papers), Receptor Mechanisms and Signaling (35 papers), Sleep and Wakefulness Research (16 papers), Pain Mechanisms and Treatments (13 papers), Chemical Synthesis and Analysis (8 papers), Regulation of Appetite and Obesity (8 papers), Stress Responses and Cortisol (8 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (921 citations), Behavioral Neuroscience (126 citations), Endocrine and Autonomic Systems (231 citations), Cognitive Neuroscience (365 citations) and Physiology (257 citations). Chiara Ruzza has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Girolamo Calò, Remo Guerrini, Severo Salvadori, Anna Rizzi, A. Rizzi, Elaine C. Gavioli, D. Regoli, Claudio Trapella, Giuliano Marzola and Rainer K. Reinscheid. Their work appears in journals such as Peptides, Journal of Medicinal Chemistry, European Journal of Pharmacology, British Journal of Pharmacology and Neuropharmacology.

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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