Sonia Abreu

25 papers receiving 510 citations

Peers

Sonia Abreu
Comparison fields: 5 of 101
  • Pharmacy 31
  • Pharmaceutical Science 43
  • Pediatrics, Perinatology and Child Health 70
  • Spectroscopy 59
  • Biochemistry 22
Replace Putcha Uday Kumar with:
Putcha Uday Kumar India
Gabriel Serrano Spain
Sean G. Nugent Ireland
Daisuke Teshima Japan
Hsiu‐Ying Yu Taiwan
Gabriela Patilea-Vrana United States
Akira Yanagawa Japan
Hongqiang Qiu China
H. Sucker Germany
Sonia Abreu relative to Putcha Uday Kumar India Putcha Uday Kumar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sonia Abreu

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2
Effect of kangaroo care on sleep time for neonates.
199791
3 201753
4 201143
5 201236
6 201928
7 201927
8 201420
9 201618
10 202117
11 202114
12 202010
13 20169
14 20208
15 20177
16 20217
17 20117
18 20225
19 20215
20 20234

About Sonia Abreu

Sonia Abreu is a scholar working on Molecular Biology, Pharmacology, Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Spectroscopy, having authored 28 papers that have together received 521 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Research on Leishmaniasis Studies (5 papers), Genomics and Phylogenetic Studies (5 papers), Fatty Acid Research and Health (4 papers), Analytical Chemistry and Chromatography (4 papers), Trypanosoma species research and implications (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Pharmacy (31 citations), Pharmaceutical Science (43 citations), Pediatrics, Perinatology and Child Health (70 citations), Spectroscopy (59 citations) and Biochemistry (22 citations). Sonia Abreu has collaborated with scholars based in France, Brazil and Pakistan. Frequent co-authors include Pierre Chaminade, Audrey Solgadi, Philippe M. Loiseau, Elias Fattal, Nicolas Tsapis, Danielle Libong, José A. Adams, Patricia R. Messmer, Laurent Imbert and Marion Espéli. Their work appears in journals such as Journal of Chromatography A, Frontiers in Microbiology, Journal of Controlled Release, Molecular Pharmaceutics and Nature Communications.

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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