Rita Pepponi

1.3k citations
46 papers · 1.1k · h-index 21

Impact in

Papers in

Rita Pepponi

45 papers receiving 1.1k citations

Peers

Rita Pepponi
Comparison fields: 5 of 79
  • Physiology 374
  • Cellular and Molecular Neuroscience 438
  • Neurology 155
  • Biological Psychiatry 42
  • Developmental Neuroscience 49
Replace Raquel Pérez‐Sen with:
Raquel Pérez‐Sen Spain
Synthia H. Sun Taiwan
Esmerilda G. Delicado Spain
Evgeny Pryazhnikov Finland
Hsing‐Lin Lai Taiwan
Raquel B. Dias Portugal
Jöelle Hillion United States
Paula J. Green United Kingdom
Manuela Simonetti Germany
Mika Takarada‐Iemata Japan
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Citations per field
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Citations per year

Countries citing papers authored by Rita Pepponi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Pepponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Pepponi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rita Pepponi Line = papers co-authored together Rita Pepponi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200793
3 200366
4 200460
5 201957
6 200453
7 200850
8 200444
9 200943
10 201240
11 200432
12 201330
13 200730
14 200229
15 201929
16 201329
17 200727
18 200624
19 201924
20 201522

About Rita Pepponi

Rita Pepponi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Cancer Research, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (16 papers), Neuroscience and Neuropharmacology Research (12 papers), Genetic factors in colorectal cancer (5 papers), Neurological disorders and treatments (5 papers), Receptor Mechanisms and Signaling (5 papers), Genetic Neurodegenerative Diseases (5 papers), Nerve injury and regeneration (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Physiology (374 citations), Cellular and Molecular Neuroscience (438 citations), Neurology (155 citations), Biological Psychiatry (42 citations) and Developmental Neuroscience (49 citations). Rita Pepponi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Patrizia Popoli, Alberto Martire, Maria Rosaria Domenici, Maria Teresa Tebano, Antonella Ferrante, Rosa Luisa Potenza, Stefania D’Atri, Jiang‐Fan Chen, Claudio Frank and Enzo Bonmassar. Their work appears in journals such as Journal of Neurochemistry, Journal of Chemotherapy, Journal of Pharmacology and Experimental Therapeutics, Pharmacological Research and Frontiers in Pharmacology.

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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