Laeticia Da Silva

551 citations
12 papers · 327 indexed · h-index 10
Topics
Metabolomics and Mass Spectrometry Studies (5 papers)Diet and metabolism studies (5 papers)Metabolism and Genetic Disorders (3 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryScientific Reports

In The Last Decade

Laeticia Da Silva

12 papers receiving 324 citations

Peers

Laeticia Da Silva
Comparison fields: 5 of 79
  • Molecular Biology 174
  • Physiology 82
  • Rheumatology 62
  • Nutrition and Dietetics 40
  • Clinical Biochemistry 36
Replace Ákos Baráth with:
Ákos Baráth Hungary
Hussain Mohamad Awwad Germany
Elisabeth L. Schwarz United States
Christopher J. McEntyre New Zealand
Hiroo Yoshida Japan
Elizabeth M. Novak Canada
Ewa Wietrak Poland
J.A. Blair United Kingdom
Arthur Bassot France
Gianfranco Carlomagno Italy
Laeticia Da Silva relative to Ákos Baráth Hungary Ákos Baráth's profile →
Citations per field
00.5×4.4×
Ákos Baráth · 1×
Citations per year

Countries citing papers authored by Laeticia Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Laeticia Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laeticia Da Silva. 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 Laeticia Da Silva. The network helps show where Laeticia Da Silva may publish in the future.

Co-authorship network of co-authors of Laeticia Da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Laeticia Da Silva. A scholar is included among the top collaborators of Laeticia Da Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laeticia Da Silva. Laeticia Da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 4
3 5
4 47
5 66
6 16
7 28
8 36
9 13
10 52
11 33
12 12

About Laeticia Da Silva

Laeticia Da Silva is a scholar working on Aging, Clinical Biochemistry and Rheumatology, having authored 12 papers that have together received 327 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Diet and metabolism studies (5 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (36 citations), Biological Psychiatry (13 citations) and Rheumatology (62 citations). Laeticia Da Silva has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include François‐Pierre Martin, Martin Kussmann, Ivan Montoliu, Sebastiano Collino, John Corthésy, Loı̈c Dayon, Ornella Cominetti, Antonio Núñez Galindo, Sofia Moco and Jaime Inostroza. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry 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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