Antonio Noto

117 papers receiving 2.5k citations

Peers

Antonio Noto
Comparison fields: 5 of 136
  • Clinical Biochemistry 276
  • Pediatrics, Perinatology and Child Health 572
  • Biological Psychiatry 61
  • Obstetrics and Gynecology 189
  • Nutrition and Dietetics 330
Replace Luigi Barberini with:
Luigi Barberini Italy
K. Herkner Austria
Om P. Mishra United States
Hans P. Sauerwein Netherlands
Sara Manti Italy
George Dimitriadis Greece
Lucia Pacifico Italy
Dianne Gallup United States
Hasan Özkan Türkiye
Vaia Lambadiari Greece
Antonio Noto relative to Luigi Barberini Italy Luigi Barberini's profile →
Citations per field
00.5×1.5×2.3×
Luigi Barberini · 1×
Citations per year

Countries citing papers authored by Antonio Noto

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 1987106
3 2011102
4 201290
5 201488
6 201476
7 198672
8 201269
9 201762
10 201359
11 201757
12 201551
13 201249
14 201248
15 201447
16 202042
17 201141
18 201240
19 201639
20 201637

About Antonio Noto

Antonio Noto is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (41 papers), Neonatal Respiratory Health Research (21 papers), Metabolism and Genetic Disorders (17 papers), Birth, Development, and Health (12 papers), Neonatal and fetal brain pathology (8 papers), Diet and metabolism studies (8 papers), Infant Nutrition and Health (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Clinical Biochemistry (276 citations), Pediatrics, Perinatology and Child Health (572 citations), Biological Psychiatry (61 citations), Obstetrics and Gynecology (189 citations) and Nutrition and Dietetics (330 citations). Antonio Noto has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Vassilios Fanos, Michele Mussap, Luigi Atzori, Luigi Barberini, Angelica Dessì, Milena Lussu, Claudia Fattuoni, J Beltran, Federica Murgia and Marco Fravega. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Early Human Development, BioMed Research International, PLoS ONE and Scientific Reports.

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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