Laura Riba

6.8k total citations
29 papers, 885 citations indexed

About

Laura Riba is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Laura Riba has authored 29 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 14 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Laura Riba's work include Genetic Associations and Epidemiology (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Lipid metabolism and disorders (5 papers). Laura Riba is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Lipid metabolism and disorders (5 papers). Laura Riba collaborates with scholars based in Mexico, United States and United Kingdom. Laura Riba's co-authors include Carlos A. Aguilar‐Salinas, David E. Housman, Lynn Doucette‐Stamm, Peter B. Dervan, Scott A. Strobel, María Luisa Ordóñez-Sánchez, Daphna Weissglas‐Volkov, Salvador Ramı́rez-Jiménez, Teresa Tusié‐Luna and Samuel Canizales‐Quinteros and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Laura Riba

28 papers receiving 859 citations

Peers

Laura Riba
Comparison fields: 5 of 89
  • Molecular Biology 485
  • Genetics 363
  • Endocrinology, Diabetes and Metabolism 220
  • Surgery 203
  • Cardiology and Cardiovascular Medicine 108
Replace M. U. Nwankwo with:
M. U. Nwankwo Nigeria
Melanie Walter Germany
Elena P. Sorokin United Kingdom
Sandro Muntoni Italy
R. Tenaglia Italy
M. L. Hogan United States
Vivek Dhir United Kingdom
Tomonori Ishikawa Japan
Kathryn Quinn Australia
Takara Yamamoto Japan
M. U. Nwankwo Nigeria View profile →
Citations per field, relative to Laura Riba
Laura Riba · 1×
Citations per year, relative to Laura Riba
Laura Riba · 1×

Countries citing papers authored by Laura Riba

Since Specialization
Citations

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

Fields of papers citing papers by Laura Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Riba

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Riba. A scholar is included among the top collaborators of Laura Riba 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 Laura Riba. Laura Riba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 29
2 51
3 24
4 12
5 28
6 76
7
Genes implicados en las formas monogénicas de la hipercolesterolemia familiar
0
8 1
9
Mutations in MODY genes are not common cause of early-onset type 2 diabetes in Mexican families.
21
10 15
11 20
12 7
13 25
14 58
15 4
16 14
17 12
18 14
19 16
20 14

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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