Giulia Pregno
Impact in
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
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- Cancer Genomics and Diagnostics
Papers in
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- Signaling Pathways in Disease 1
- Genomics and Phylogenetic Studies 1
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- Neuroscience and Neuropharmacology Research 2
- Photoreceptor and optogenetics research 1
- Co-authors
- Sjors Middelkamp (1 shared paper)Tobias Marschall (1 shared paper)Jeroen de Ridder (1 shared paper)Daniela Giachino (1 shared paper)Ewart de Bruijn (1 shared paper)Wigard P. Kloosterman (1 shared paper)Ivo Renkens (1 shared paper)Markus J. van Roosmalen (1 shared paper)
- Journals
- Frontiers in Cellular Neuroscience (2 papers)Nature Communications (1 paper)BMC Neuroscience (1 paper)Frontiers in Molecular Neuroscience (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giulia Pregno
5 papers receiving 322 citations
Peers
Comparison fields: 5 of 69
- Genetics 116
- Cancer Research 52
- Molecular Biology 216
- Cellular and Molecular Neuroscience 51
- Plant Science 60
Countries citing papers authored by Giulia Pregno
This map shows the geographic impact of Giulia Pregno'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 Pregno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Pregno more than expected).
Fields of papers citing papers by Giulia Pregno
This network shows the impact of papers produced by Giulia Pregno. 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 Pregno. The network helps show where Giulia Pregno may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Pregno, 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 | 2017 | 249 | |
| 2 | 2011 | 28 | |
| 3 | 2020 | 21 | |
| 4 | 2013 | 14 | |
| 5 | 2011 | 11 |
About Giulia Pregno
Giulia Pregno is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Neurology, having authored 5 papers that have together received 323 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Photoreceptor and optogenetics research (1 paper), Cancer Genomics and Diagnostics (1 paper), Signaling Pathways in Disease (1 paper), Neural dynamics and brain function (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Genetics (116 citations), Cancer Research (52 citations), Molecular Biology (216 citations), Cellular and Molecular Neuroscience (51 citations) and Plant Science (60 citations). Giulia Pregno has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Sjors Middelkamp, Tobias Marschall, Jeroen de Ridder, Daniela Giachino, Ewart de Bruijn, Wigard P. Kloosterman, Ivo Renkens, Markus J. van Roosmalen, Marleen M. Nieboer and Jose Espejo Valle-Inclán. Their work appears in journals such as Frontiers in Cellular Neuroscience, Nature Communications, BMC Neuroscience and Frontiers in Molecular 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.