Matteo Cassina

6.2k citations
60 papers · 1.4k indexed · h-index 21

Matteo Cassina

56 papers receiving 1.3k citations

Peers

Matteo Cassina
Comparison fields: 5 of 103
  • Obstetrics and Gynecology 133
  • Biochemistry 110
  • Neurology 146
  • Pediatrics, Perinatology and Child Health 179
  • Public Health, Environmental and Occupational Health 237
Replace Hélène Choquet with:
Hélène Choquet United States
David A. Buchner United States
Aleš Maver Slovenia
Pernilla Svedin Sweden
Anthony Carter Canada
Nicoletta Dozio Italy
Brahim Tabarki Saudi Arabia
Zoran Gucev North Macedonia
Domhnall O’Halloran United Kingdom
Shu Han China
Matteo Cassina relative to Hélène Choquet United States Hélène Choquet's profile →
Citations per field
00.5×3.7×
Hélène Choquet · 1×
Citations per year

Countries citing papers authored by Matteo Cassina

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cassina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20239
4 20220
5 20215
6 201932
7 201712
8 201618
9 201645
10 201521
11 201540
12 2014107
13 201494
14 201320
15 201285
16 201281
17 20123
18 201214
19 201118
20 201020

About Matteo Cassina

Matteo Cassina is a scholar working on Obstetrics and Gynecology, Sensory Systems and Genetics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (9 papers), Genomic variations and chromosomal abnormalities (7 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Pregnancy and preeclampsia studies (5 papers), Genomics and Rare Diseases (4 papers), Mitochondrial Function and Pathology (4 papers) and Coenzyme Q10 studies and effects (4 papers). The work is most often cited by research in Obstetrics and Gynecology (133 citations), Biochemistry (110 citations) and Neurology (146 citations). Matteo Cassina has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maurizio Clementi, Elena Di Gianantonio, Leonardo Salviati, Eva Trevisson, Mara Doimo, María Andrea Desbats, Cristina Cerqua, Pietro Litta, Pierpaolo Mastroiacovo and Lorenzo D. Botto. Their work appears in journals such as Reproductive Toxicology, Cancers, Journal of Assisted Reproduction and Genetics, Expert Opinion on Drug Safety and Birth Defects Research Part A Clinical and Molecular Teratology.

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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