Valentina Ghisi

1.5k citations
12 papers · 1.2k indexed · h-index 12

Valentina Ghisi

12 papers receiving 1.2k citations

Peers

Valentina Ghisi
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 647
  • Biological Psychiatry 62
  • Endocrine and Autonomic Systems 82
  • Molecular Biology 776
  • Neurology 72
Replace Justine Masson with:
Justine Masson France
Dipendra K. Aryal United States
Mounia Azzi Canada
Melanie J. Robbins United Kingdom
Dinah Weissmann France
Kevin Erreger United States
Petra Scholze Austria
Christian Wozny Germany
Fèlix Junyent Spain
Valentina Savchenko United States
Valentina Ghisi relative to Justine Masson France Justine Masson's profile →
Citations per field
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Justine Masson · 1×
Citations per year

Countries citing papers authored by Valentina Ghisi

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Ghisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201929
2 201578
3 201446
4 201332
5 2008262
6 2008279
7 200832
8 200841
9 2008147
10 2006133
11 200686
12 200442

About Valentina Ghisi

Valentina Ghisi is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Photoreceptor and optogenetics research (2 papers), Photochromic and Fluorescence Chemistry (2 papers), interferon and immune responses (1 paper), Molecular Sensors and Ion Detection (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (647 citations), Biological Psychiatry (62 citations) and Endocrine and Autonomic Systems (82 citations). Valentina Ghisi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Raul R. Gainetdinov, Marc G. Caron, Jean‐Martin Beaulieu, Ali Salahpour, Tatyana D. Sotnikova, Bernard Masri, Ivan O. Medvedev, Michael Didriksen, Robert J. Lefkowitz and Ramona M. Rodriguiz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, Neuropharmacology, European Journal of Neuroscience and Journal of Biological Chemistry.

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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