Simonetta Pazzaglia

2.8k citations
88 papers · 2.2k indexed · h-index 25

Simonetta Pazzaglia

86 papers receiving 2.1k citations

Peers

Simonetta Pazzaglia
Comparison fields: 5 of 123
  • Developmental Neuroscience 155
  • Radiology, Nuclear Medicine and Imaging 604
  • Genetics 210
  • Molecular Biology 1.2k
  • Dermatology 149
Replace Anna Saran with:
Anna Saran Italy
Mariateresa Mancuso Italy
Claudia E. Rübe Germany
J.H. Peacock United Kingdom
Tomoyuki Masuda Japan
Katalin Lumniczky Hungary
Lara Barazzuol Netherlands
Grace Ku United States
A. J. Yates United States
Zoltán Varga Hungary
Simonetta Pazzaglia relative to Anna Saran Italy Anna Saran's profile →
Citations per field
00.5×
Anna Saran · 1×
Citations per year

Countries citing papers authored by Simonetta Pazzaglia

Since Specialization
Citations

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

Fields of papers citing papers by Simonetta Pazzaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 20232
4 20225
5 202218
6 202212
7 20216
8 202032
9 202029
10 201538
11 201225
12 20109
13 200823
14 200854
15 200663
16 200521
17 200496
18 200279
19
Genetic events associated with arsenic-induced malignant transformation: Applications of cDNA microarray technology
200193
20 199813

About Simonetta Pazzaglia

Simonetta Pazzaglia is a scholar working on Developmental Neuroscience, Genetics and Molecular Biology, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (28 papers), Effects of Radiation Exposure (19 papers), Radiation Therapy and Dosimetry (15 papers), DNA Repair Mechanisms (12 papers), Glioma Diagnosis and Treatment (12 papers), Epigenetics and DNA Methylation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Developmental Neuroscience (155 citations), Radiology, Nuclear Medicine and Imaging (604 citations) and Genetics (210 citations). Simonetta Pazzaglia has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Anna Saran, Mariateresa Mancuso, Simonetta Rebessi, Mirella Tanori, Vincenzo Di Majo, Claudio Pioli, Simona Leonardi, Emanuela Pasquali, Vincenzo Covelli and Michael J. Atkinson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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