Marta Pazzagli

1.1k citations
19 papers · 870 indexed · h-index 15
Topics
Neuroscience and Neuropharmacology Research (15 papers)Adenosine and Purinergic Signaling (6 papers)Neurotransmitter Receptor Influence on Behavior (6 papers)
Partner nations
ItalyIrelandBulgaria

In The Last Decade

Marta Pazzagli

19 papers receiving 851 citations

Peers

Marta Pazzagli
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 480
  • Molecular Biology 328
  • Cognitive Neuroscience 228
  • Physiology 225
  • Radiology, Nuclear Medicine and Imaging 85
Replace Tomoyo Ochiishi with:
Tomoyo Ochiishi Japan
Donald A. McAfee United States
N. A. Lozovaya Ukraine
Kim L. Powell Australia
Kunjumon I. Vadakkan Canada
Anne Marowsky Switzerland
Incarnation Aubert France
E Sanabria Brazil
Eric Erbs France
Rosa Luisa Potenza Italy
Marta Pazzagli relative to Tomoyo Ochiishi Japan Tomoyo Ochiishi's profile →
Citations per field
00.5×6.1×
Tomoyo Ochiishi · 1×
Citations per year

Countries citing papers authored by Marta Pazzagli

Since Specialization
Citations

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

Fields of papers citing papers by Marta Pazzagli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Pazzagli

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Pazzagli. A scholar is included among the top collaborators of Marta Pazzagli 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 Marta Pazzagli. Marta Pazzagli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 21
2 50
3 24
4 98
5 36
6 214
7 27
8 32
9 68
10 5
11 44
12 36
13 71
14 59
15 4
16 35
17 2
18 34
19 10

About Marta Pazzagli

Marta Pazzagli is a scholar working on Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 19 papers that have together received 870 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Adenosine and Purinergic Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Physiology (225 citations), Cellular and Molecular Neuroscience (480 citations) and Cognitive Neuroscience (228 citations). Marta Pazzagli has collaborated with scholars based in Italy, Ireland and Bulgaria. Frequent co-authors include Giancarlo Pepeu, Felicita Pedata, Luca Bianchi, M. Giovannini, A Rakovska, G Pepeu, Serena Latini, Claudia Corsi, Fiorella Casamenti and Luciano Bartolini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and 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.

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