Patrizia Popoli

8.5k citations
152 papers · 6.7k indexed · 1 hit paper · h-index 44
Topics
Neuroscience and Neuropharmacology Research (75 papers)Adenosine and Purinergic Signaling (59 papers)Receptor Mechanisms and Signaling (34 papers)
Partner nations
ItalySwedenUnited States

In The Last Decade

Patrizia Popoli

151 papers receiving 6.6k citations

Hit Papers

Adenosine–dopamine receptor–receptor interactions as an i...19972026200620161997200400600

Peers

Patrizia Popoli
Comparison fields: 5 of 113
  • Cellular and Molecular Neuroscience 4.0k
  • Physiology 2.9k
  • Molecular Biology 2.7k
  • Neurology 1.4k
  • Neurology 773
Replace Rosario Moratalla with:
Rosario Moratalla Spain
Jean‐Marie Vaugeois France
Dietrich van Calker Germany
Luı́sa V. Lopes Portugal
Heike Franke Germany
Ricardo J. Rodrigues Portugal
Malika El Yacoubi France
Nancy R. Zahniser United States
Gonzalo E. Torres United States
Mario Herrera‐Marschitz Sweden
Patrizia Popoli relative to Rosario Moratalla Spain Rosario Moratalla's profile →
Citations per field
00.5×1.5×2.2×
Rosario Moratalla · 1×
Citations per year

Countries citing papers authored by Patrizia Popoli

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Popoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Popoli

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 35
4 21
5 34
6 35
7 40
8 199
9 219
10 93
11 32
12 16
13 72
14 52
15 25
16 1
17 55
18 8
19 8
20 7

About Patrizia Popoli

Patrizia Popoli is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 152 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (75 papers), Adenosine and Purinergic Signaling (59 papers) and Receptor Mechanisms and Signaling (34 papers). The work is most often cited by research in Physiology (2.9k citations), Cellular and Molecular Neuroscience (4.0k citations) and Biological Psychiatry (340 citations). Patrizia Popoli has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Sergi Ferré, Kjell Fuxé, Antonella Pèzzola, Rosaria Reggio, Maria Rosaria Domenici, Alberto Martire, Micaela Morelli, Bertil B. Fredholm, Maria Teresa Tebano and Rita Pepponi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of 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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