Beatriz Valcárcel
Impact in
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- Statistical Methods and Inference
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- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
Papers in
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- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 1
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Maria De Iorio (3 shared papers)Antti J. Kangas (2 shared papers)Pasi Soininen (2 shared papers)Mika Ala‐Korpela (2 shared papers)Timothy M. D. Ebbels (2 shared papers)Marjo‐Riitta Järvelin (3 shared papers)Peter Würtz (1 shared paper)Taru Tukiainen (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of The Royal Society Interface (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- United KingdomFinlandFrance
In The Last Decade
Beatriz Valcárcel
4 papers receiving 55 citations
Peers
Comparison fields: 5 of 36
- Statistics and Probability 5
- Molecular Biology 41
- Aging 1
- Business and International Management 1
- Genetics 9
Countries citing papers authored by Beatriz Valcárcel
This map shows the geographic impact of Beatriz Valcárcel'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 Beatriz Valcárcel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Valcárcel more than expected).
Fields of papers citing papers by Beatriz Valcárcel
This network shows the impact of papers produced by Beatriz Valcárcel. 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 Beatriz Valcárcel. The network helps show where Beatriz Valcárcel may publish in the future.
Co-authors
The 22 scholars most cited alongside Beatriz Valcárcel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 26 | |
| 2 | 2014 | 16 | |
| 3 | 2012 | 10 | |
| 4 | 2018 | 4 |
About Beatriz Valcárcel
Beatriz Valcárcel is a scholar working on Molecular Biology, Surgery, Mathematical Physics, Epidemiology and Computational Theory and Mathematics, having authored 4 papers that have together received 56 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Pancreatic function and diabetes (1 paper), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Computational Drug Discovery Methods (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Hormonal Regulation and Hypertension (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Statistics and Probability (5 citations), Molecular Biology (41 citations), Aging (1 citation), Business and International Management (1 citation) and Genetics (9 citations). Beatriz Valcárcel has collaborated with scholars based in United Kingdom, Finland and France. Frequent co-authors include Maria De Iorio, Antti J. Kangas, Pasi Soininen, Mika Ala‐Korpela, Timothy M. D. Ebbels, Marjo‐Riitta Järvelin, Peter Würtz, Taru Tukiainen, Paul Elliot and Cécile Lecœur. Their work appears in journals such as PLoS ONE, Journal of The Royal Society Interface and Statistics in Medicine.
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.