Silva Fredduzzi

1k citations
13 papers · 911 · h-index 13

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Pain Mechanisms and Treatments
    • Cannabis and Cannabinoid Research

Papers in

    • Pain Mechanisms and Treatments 6
    • Adenosine and Purinergic Signaling 5
    • Parkinson's Disease Mechanisms and Treatments 2
    • Neurological Disorders and Treatments 1

Silva Fredduzzi

13 papers receiving 871 citations

Peers

Silva Fredduzzi
Comparison fields: 5 of 55
  • Physiology 151
  • Pharmacology 245
  • Neurology 171
  • Cellular and Molecular Neuroscience 190
  • Physiology 158
Replace Mary E. Cohen-Williams with:
Mary E. Cohen-Williams United States
Diana G. Ferreira Portugal
Adrienne J. Betz United States
Monica Armida Italy
H�kan Hall Sweden
Lucia Frau Italy
Deborah K. Verges United States
Philip F. Morgan United States
Tamotsu Nomura Japan
Masako Kurokawa Japan
Silva Fredduzzi relative to Mary E. Cohen-Williams United States Mary E. Cohen-Williams's profile →
Citations per field
00.5×1.5×2.2×
Mary E. Cohen-Williams · 1×
Citations per year

Countries citing papers authored by Silva Fredduzzi

Since Specialization
Citations

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

Fields of papers citing papers by Silva Fredduzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006247
2 2005155
3 2009137
4 2002118
5 200840
6 200735
7 200334
8 200133
9 200328
10 200427
11 201223
12 200119
13 200115

About Silva Fredduzzi

Silva Fredduzzi is a scholar working on Physiology, Physiology, Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 13 papers that have together received 911 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Adenosine and Purinergic Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Acute Ischemic Stroke Management (1 paper), Heat shock proteins research (1 paper), Cannabis and Cannabinoid Research (1 paper) and Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Physiology (151 citations), Pharmacology (245 citations), Neurology (171 citations), Cellular and Molecular Neuroscience (190 citations) and Physiology (158 citations). Silva Fredduzzi has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Rosalia Bertorelli, Angelo M. Reggiani, Massimiliano Beltramo, Marilena Campanella, Francesco Impagnatiello, A Forlani, Geoffrey B. Varty, Ennio Ongini, Jiang‐Fan Chen and Michael A. Schwarzschild. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Neurology, Experimental Brain Research, Behavioural Brain Research and Journal of Neuroscience.

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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