Gabriella Pollonini

1.8k total citations
16 papers, 1.4k citations indexed

About

Gabriella Pollonini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Gabriella Pollonini has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Gabriella Pollonini's work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Gabriella Pollonini is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). Gabriella Pollonini collaborates with scholars based in United States, Italy and Austria. Gabriella Pollonini's co-authors include Cristina M. Alberini, Dhananjay Bambah-Mukku, Dillon Y. Chen, Sarah A. Stern, Ana Garcı́a-Osta, Robert D. Blitzer, Stephen M. Taubenfeld, Alessio Travaglia, Virginia Gao and Barbara Monti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Gabriella Pollonini

16 papers receiving 1.3k citations

Peers

Gabriella Pollonini
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 645
  • Molecular Biology 439
  • Cognitive Neuroscience 335
  • Neurology 240
  • Genetics 226
Replace Samantha J. Fung with:
Samantha J. Fung Australia
Joseph P. Pierce United States
Dillon Y. Chen United States
Daniel García‐Ovejero Spain
Rawien Balesar Netherlands
Giselind Adelmann Germany
Gastón Diego Calfa Argentina
Zhenzhong Cui United States
Davor Stanić Australia
Stephanie M. Fernandez United States
Samantha J. Fung Australia View profile →
Citations per field, relative to Gabriella Pollonini
Gabriella Pollonini · 1×
Citations per year, relative to Gabriella Pollonini
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Countries citing papers authored by Gabriella Pollonini

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Pollonini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Pollonini

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Pollonini. A scholar is included among the top collaborators of Gabriella Pollonini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriella Pollonini. Gabriella Pollonini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 33
2 15
3 42
4 153
5 29
6 59
7 124
8 28
9 186
10 340
11 35
12 62
13 70
14 38
15 142
16 9

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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2026