Giulia Pacini
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Genetic Neurodegenerative Diseases
Papers in
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- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neural Engineering 2
- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Massimo Pasqualetti (7 shared papers)Sara Migliarini (6 shared papers)Barbara Pelosi (5 shared papers)Marta Pratelli (3 shared papers)Alessandro Usiello (1 shared paper)Dario Cuomo (1 shared paper)Nicola Biagio Mercuri (1 shared paper)Giuseppina Martella (1 shared paper)
In The Last Decade
Giulia Pacini
14 papers receiving 384 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 192
- Biological Psychiatry 23
- Developmental Neuroscience 26
- Neurology 84
- Behavioral Neuroscience 18
Countries citing papers authored by Giulia Pacini
This map shows the geographic impact of Giulia Pacini'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 Giulia Pacini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Pacini more than expected).
Fields of papers citing papers by Giulia Pacini
This network shows the impact of papers produced by Giulia Pacini. 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 Giulia Pacini. The network helps show where Giulia Pacini may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Pacini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 175 | |
| 2 | 2010 | 81 | |
| 3 | 2014 | 35 | |
| 4 | 2015 | 20 | |
| 5 | 2019 | 16 | |
| 6 | 2012 | 14 | |
| 7 | 2011 | 9 | |
| 8 | 2015 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2016 | 6 | |
| 12 | Generation of a Tph2/EGFP knockin mouse line for the study of the role of serotonin during the central nervous system development | 2008 | 2 |
| 13 | 2012 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2023 | 0 |
About Giulia Pacini
Giulia Pacini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Pathology and Forensic Medicine and Immunology, having authored 15 papers that have together received 384 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Pancreatic function and diabetes (2 papers), Neuroscience and Neural Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Liver Diseases and Immunity (2 papers), Multiple Sclerosis Research Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (192 citations), Biological Psychiatry (23 citations), Developmental Neuroscience (26 citations), Neurology (84 citations) and Behavioral Neuroscience (18 citations). Giulia Pacini has collaborated with scholars based in Italy, France and Sweden. Frequent co-authors include Massimo Pasqualetti, Sara Migliarini, Barbara Pelosi, Marta Pratelli, Alessandro Usiello, Dario Cuomo, Nicola Biagio Mercuri, Giuseppina Martella, Emanuela Santini and Valeria Di Dato. Their work appears in journals such as PLoS ONE, Journal of Peptide Science, ACS Chemical Neuroscience, Food and Bioprocess Technology and Molecular & Cellular Proteomics.
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.