Francesca Passarelli

5.4k citations
89 papers · 1.7k · h-index 25

Impact in

Papers in

Francesca Passarelli

87 papers receiving 1.7k citations

Peers

Francesca Passarelli
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 502
  • Behavioral Neuroscience 98
  • Dermatology 224
  • Biological Psychiatry 52
  • Oncology 361
Replace Niels Eijkelkamp with:
Niels Eijkelkamp Netherlands
Shinsuke Matsuzaki Japan
James E. Marchand United States
Rainer Haberberger Germany
Michèle Darmon France
Tatsuo Furukawa Japan
Sumei Liu United States
Huiping Ding United States
Takeo Yoshikawa Japan
C. A. Davies United Kingdom
Francesca Passarelli relative to Niels Eijkelkamp Netherlands Niels Eijkelkamp's profile →
Citations per field
00.5×4.1×
Niels Eijkelkamp · 1×
Citations per year

Countries citing papers authored by Francesca Passarelli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Passarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Passarelli, 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 Francesca Passarelli Line = papers co-authored together Francesca Passarelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 201478
3 200171
4 201468
5 200467
6 200667
7 201560
8 201653
9 199446
10 199041
11 199939
12 201338
13 198937
14 201236
15 200335
16 199835
17 200732
18 201231
19 201031
20 198930

About Francesca Passarelli

Francesca Passarelli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Epidemiology and Dermatology, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Receptor Mechanisms and Signaling (12 papers), Nonmelanoma Skin Cancer Studies (9 papers), Cutaneous lymphoproliferative disorders research (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (502 citations), Behavioral Neuroscience (98 citations), Dermatology (224 citations), Biological Psychiatry (52 citations) and Oncology (361 citations). Francesca Passarelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Francesco E. Pontieri, Francesco Orzi, Alessio Caggiati, Simona Mastroeni, Sergio Scaccianoce, Thomas J. Mannooranparampil, Esterina Pascale, Angelo Maffei, Cristina Renzi and Cristina Fortes. Their work appears in journals such as Brain Research, European Journal of Pharmacology, Neuropharmacology, Journal of Neural Transmission and European 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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