Elena Cibrián–Uhalte
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 1
- Retinal Development and Disorders 1
- Protein Kinase Regulation and GTPase Signaling 1
- Pharmacology top 5%
- Pharmacology top 5%
- Biophysics top 10%
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- Pancreatic and Hepatic Oncology Research 2
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- Zebrafish Biomedical Research Applications 2
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- Pancreatic function and diabetes 2
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- Genomics and Rare Diseases 1
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- Physiological and biochemical adaptations 1
- Co-authors
- George PapadatosDavid MéndezMichał NowotkaFrancis AtkinsonJohn P. OveringtonLouisa J. BellisAnna GaultonAndrew R. Leach
- Journals
- The Journal of Cell Biology (1 paper)International Immunopharmacology (1 paper)Current Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Elena Cibrián–Uhalte
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 1.1k
- Molecular Biology 1.1k
- Pharmacology 261
- Pharmacology 133
- Biophysics 43
Countries citing papers authored by Elena Cibrián–Uhalte
This map shows the geographic impact of Elena Cibrián–Uhalte'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 Elena Cibrián–Uhalte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Cibrián–Uhalte more than expected).
Fields of papers citing papers by Elena Cibrián–Uhalte
This network shows the impact of papers produced by Elena Cibrián–Uhalte. 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 Elena Cibrián–Uhalte. The network helps show where Elena Cibrián–Uhalte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena Cibrián–Uhalte, 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 | 2024 | 2 | |
| 2 | 2017 | 31 | |
| 3 | The ChEMBL database in 2017breakdown → | 2016 | 1589 |
| 4 | 2013 | 31 | |
| 5 | 2012 | 9 | |
| 6 | 2011 | 32 | |
| 7 | 2008 | 27 | |
| 8 | 2007 | 24 | |
| 9 | 2007 | 6 |
About Elena Cibrián–Uhalte
Elena Cibrián–Uhalte is a scholar working on Cell Biology, Oncology and Genetics, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Zebrafish Biomedical Research Applications (2 papers), Pancreatic function and diabetes (2 papers), Genomics and Rare Diseases (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Physiological and biochemical adaptations (1 paper), Retinal Development and Disorders (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (1.1k citations) and Pharmacology (261 citations). Elena Cibrián–Uhalte has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include George Papadatos, David Méndez, Michał Nowotka, Francis Atkinson, John P. Overington, Louisa J. Bellis, Anna Gaulton, Andrew R. Leach, Ines Smit and Mark Davies. Their work appears in journals such as The Journal of Cell Biology, International Immunopharmacology, Current Biology, Human Molecular Genetics and Gut.
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.