Laura Riba

6.9k citations
29 papers · 895 · h-index 17

Impact in

Papers in

    • Genetic Associations and Epidemiology 5
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Animal Genetics and Reproduction 3
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Sexual Differentiation and Disorders 3

Laura Riba

28 papers receiving 869 citations

Peers

Laura Riba
Comparison fields: 5 of 85
  • Genetics 300
  • Endocrinology, Diabetes and Metabolism 142
  • Molecular Biology 434
  • Cancer Research 59
  • Surgery 165
Replace Sandro Muntoni with:
Sandro Muntoni Italy
Ernst Rinderknecht United States
Mamata Deenadayal India
Thomas G. Kennedy Canada
Vivek Dhir United Kingdom
John C. Shelton United States
M. L. Hogan United States
Robert E. Corin United States
Marina Rodríguez Spain
Ghenima Dirami United States
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Citations per field
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Sandro Muntoni · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991143
2 201390
3 201286
4 200978
5 199858
6 201152
7 200940
8 201230
9 200929
10 199827
11 199526
12 200325
13 201124
14
Mutations in MODY genes are not common cause of early-onset type 2 diabetes in Mexican families.
200521
15 200420
16 198518
17 199116
18 200415
19 199614
20 199314

About Laura Riba

Laura Riba is a scholar working on Genetics, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 29 papers that have together received 895 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Genetic Associations and Epidemiology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Animal Genetics and Reproduction (3 papers), Cholesterol and Lipid Metabolism (3 papers), Sexual Differentiation and Disorders (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Genetics (300 citations), Endocrinology, Diabetes and Metabolism (142 citations), Molecular Biology (434 citations), Cancer Research (59 citations) and Surgery (165 citations). Laura Riba has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Carlos A. Aguilar‐Salinas, David E. Housman, Lynn Doucette‐Stamm, Peter B. Dervan, Scott A. Strobel, María Luisa Ordóñez-Sánchez, Salvador Ramı́rez-Jiménez, Daphna Weissglas‐Volkov, Teresa Tusié‐Luna and Samuel Canizales‐Quinteros. Their work appears in journals such as Gene, Human Genetics, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Medical Genetics and Current Opinion in Lipidology.

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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