Daniela Caprara

433 citations
14 papers · 311 · h-index 9

Impact in

Papers in

Daniela Caprara

14 papers receiving 297 citations

Peers

Daniela Caprara
Comparison fields: 5 of 60
  • Obstetrics and Gynecology 87
  • Pediatrics, Perinatology and Child Health 172
  • Toxicology 29
  • Immunology and Allergy 27
  • Endocrine and Autonomic Systems 23
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Raffaella Butera Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Caprara

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Caprara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200466
2 200357
3 201151
4 200631
5 200622
6
Diagnosis of fetal alcohol spectrum disorder (FASD): fatty acid ethyl esters and neonatal hair analysis.
200619
7 200516
8 200516
9 20169
10 20168
11 20058
12 20144
13
TO LABEL OR NOT TO LABEL: THE PROS AND CONS OF ALCOHOL WARNING LABELS IN PREGNANCY
20043
14
FATTY ACID ETHYL ESTERS AND HAIR ANALYSIS: BIOMARKERS FOR ALCOHOL CONSUMPTION AND THEIR POSSIBLE APPLICATION IN THE DIAGNOSIS OF FASD
20031

About Daniela Caprara

Daniela Caprara is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics, Infectious Diseases, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 311 indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (7 papers), Fatty Acid Research and Health (4 papers), HIV/AIDS Research and Interventions (3 papers), Pregnancy and Medication Impact (3 papers), Per- and polyfluoroalkyl substances research (3 papers), HIV-related health complications and treatments (2 papers), Gestational Diabetes Research and Management (2 papers) and Psychedelics and Drug Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (87 citations), Pediatrics, Perinatology and Child Health (172 citations), Toxicology (29 citations), Immunology and Allergy (27 citations) and Endocrine and Autonomic Systems (23 citations). Daniela Caprara has collaborated with scholars based in Canada, India and United Kingdom. Frequent co-authors include Gideon Koren, Julia Klein, Myla E. Moretti, Phillip Blanchette, Daphne Chan, Lisa Federico, Emily Yeung, Kelly Nash, Antonio Addis and Lavínia Schüler‐Faccini. Their work appears in journals such as Journal of Obstetrics and Gynaecology Canada, Alcohol and Alcoholism, Neuroscience & Biobehavioral Reviews, Journal of Allergy and Clinical Immunology and Pediatric Research.

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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