Giulia Pacini
Impact in
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- Tryptophan and brain disorders
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Genetic Neurodegenerative Diseases
Papers in
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- Neurotransmitter Receptor Influence on Behavior 2
- Neuroscience and Neural Engineering 2
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Massimo Pasqualetti (6 shared papers)Sara Migliarini (5 shared papers)Barbara Pelosi (5 shared papers)Marta Pratelli (3 shared papers)Giuseppina Martella (1 shared paper)Emanuela Santini (1 shared paper)Giuseppe Sciamanna (1 shared paper)Francesco Errico (1 shared paper)
- Journals
- Journal of Peptide Science (2 papers)PLoS ONE (2 papers)ACS Chemical Neuroscience (1 paper)Neurobiology of Disease (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- ItalyFranceNetherlands
In The Last Decade
Giulia Pacini
13 papers receiving 422 citations
Peers
Comparison fields: 5 of 81
- Biological Psychiatry 31
- Cellular and Molecular Neuroscience 201
- Developmental Neuroscience 27
- Behavioral Neuroscience 22
- Neurology 91
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 | 198 | |
| 2 | 2010 | 86 | |
| 3 | 2014 | 40 | |
| 4 | 2015 | 24 | |
| 5 | 2019 | 16 | |
| 6 | 2012 | 15 | |
| 7 | 2011 | 9 | |
| 8 | 2015 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2012 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2023 | 0 |
About Giulia Pacini
Giulia Pacini is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Hepatology, Genetics and Immunology, having authored 14 papers that have together received 423 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Multiple Sclerosis Research Studies (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience and Neural Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers), Liver Diseases and Immunity (2 papers), Pancreatic function and diabetes (2 papers) and Historical Studies and Socio-cultural Analysis (1 paper). The work is most often cited by research in Biological Psychiatry (31 citations), Cellular and Molecular Neuroscience (201 citations), Developmental Neuroscience (27 citations), Behavioral Neuroscience (22 citations) and Neurology (91 citations). Giulia Pacini has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Massimo Pasqualetti, Sara Migliarini, Barbara Pelosi, Marta Pratelli, Giuseppina Martella, Emanuela Santini, Giuseppe Sciamanna, Francesco Errico, Gilberto Fisone and Valeria Di Dato. Their work appears in journals such as Journal of Peptide Science, PLoS ONE, ACS Chemical Neuroscience, Neurobiology of Disease 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.