Anna Sava

424 citations
9 papers · 240 · h-index 7

Impact in

Papers in

    • Receptor Mechanisms and Signaling 6
    • Pharmacological Receptor Mechanisms and Effects 2
    • Ion channel regulation and function 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Neuropeptides and Animal Physiology 5
    • Neuroscience and Neuropharmacology Research 4
    • Neurotransmitter Receptor Influence on Behavior 2
    • Genetic Neurodegenerative Diseases 1

Anna Sava

9 papers receiving 235 citations

Peers

Anna Sava
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 183
  • Biological Psychiatry 6
  • Molecular Biology 152
  • Developmental Neuroscience 9
  • Anesthesiology and Pain Medicine 7
Replace Vinal Patel with:
Vinal Patel United States
Jeanne M. Fahey United States
Minoru Narita United States
Dimitri Roumenov France
Setareh Sianati Australia
Maarten E.A. Reith United States
Chaoying Li United States
Julian A. Schreiber Germany
Takehiro Shoda Japan
Mia Engström Finland
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Citations per field
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Citations per year

Countries citing papers authored by Anna Sava

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2010120
2 200132
3 201122
4 201619
5 201416
6 200913
7 201811
8 20234
9 20193

About Anna Sava

Anna Sava is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Biochemistry, having authored 9 papers that have together received 240 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Genetic Neurodegenerative Diseases (1 paper), Ion channel regulation and function (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (183 citations), Biological Psychiatry (6 citations), Molecular Biology (152 citations), Developmental Neuroscience (9 citations) and Anesthesiology and Pain Medicine (7 citations). Anna Sava has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Cristiana Griffante, Ezio Bettini, Corrado Carignani, Francesca Cardullo, Anna Maria Capelli, Alberto Buson, Guido Francesco Fumagalli, Renza Roncarati, Marzia Di Chio and Georg C. Terstappen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Neuroscience, Journal of Pharmacology and Experimental Therapeutics, Psychopharmacology 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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