Chiara Contri

429 citations
10 papers · 243 · h-index 8

Impact in

Papers in

    • Pharmacological Receptor Mechanisms and Effects 6
    • Receptor Mechanisms and Signaling 2
    • Wnt/β-catenin signaling in development and cancer 1
    • Adenosine and Purinergic Signaling 5

Chiara Contri

10 papers receiving 236 citations

Peers

Chiara Contri
Comparison fields: 5 of 73
  • Physiology 80
  • Biological Psychiatry 22
  • Pharmacology 56
  • Neurology 22
  • Endocrine and Autonomic Systems 13
Replace Lyvia Lintzmaier Petiz with:
Lyvia Lintzmaier Petiz Brazil
Xiang Tian China
Przemysław Sołek Poland
Lorenza Bellusci United States
Svenja K. Lacher Germany
Anna A. Akopyan Russia
Zhu-Zhong Mei China
Guiomar Silva Lopes Brazil
Elena Mannino Italy
Lu-Xiu Yang China
Chiara Contri relative to Lyvia Lintzmaier Petiz Brazil Lyvia Lintzmaier Petiz's profile →
Citations per field
00.5×3.1×
Lyvia Lintzmaier Petiz · 1×
Citations per year

Countries citing papers authored by Chiara Contri

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Contri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021107
2 202235
3 202225
4 202318
5 202218
6 202316
7 202210
8 20227
9 20234
10 20243

About Chiara Contri

Chiara Contri is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 243 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (6 papers), Adenosine and Purinergic Signaling (5 papers), Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Molecular spectroscopy and chirality (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Physiology (80 citations), Biological Psychiatry (22 citations), Pharmacology (56 citations), Neurology (22 citations) and Endocrine and Autonomic Systems (13 citations). Chiara Contri has collaborated with scholars based in Italy. Frequent co-authors include Fabrizio Vincenzi, Katia Varani, Silvia Pasquini, Pier Andrea Borea, Stefania Merighi, Stefania Gessi, Sandra Gemma, Giuseppe Campiani, Stefania Butini and Alessia Travagli. Their work appears in journals such as Biomolecules, International Journal of Molecular Sciences, Journal of Pineal Research, European Journal of Medicinal Chemistry and Cells.

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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