Jordi Deu-Pons
- Molecular Biology top 2%
- Cancer Research top 1%
- Genetics top 2%
- Computational Theory and Mathematics top 1%
- Oncology top 5%
- Co-authors
- Laura I. FurlongFerrán SanzJanet PiñeroÁlex BravoNúria Queralt-RosiñachNúria López-BigasAbel González-PérezEmilio Centeno
- Topics
- Cancer Genomics and Diagnostics (12 papers)Genomics and Rare Diseases (6 papers)Bioinformatics and Genomic Networks (5 papers)
- Partner nations
- SpainSwitzerlandCanada
In The Last Decade
Jordi Deu-Pons
16 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.5k
- Cancer Research 1.6k
- Genetics 788
- Computational Theory and Mathematics 589
- Oncology 556
Countries citing papers authored by Jordi Deu-Pons
This map shows the geographic impact of Jordi Deu-Pons'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 Jordi Deu-Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Deu-Pons more than expected).
Fields of papers citing papers by Jordi Deu-Pons
This network shows the impact of papers produced by Jordi Deu-Pons. 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 Jordi Deu-Pons. The network helps show where Jordi Deu-Pons may publish in the future.
Co-authorship network of co-authors of Jordi Deu-Pons
This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Deu-Pons. A scholar is included among the top collaborators of Jordi Deu-Pons 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 Jordi Deu-Pons. Jordi Deu-Pons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A compendium of mutational cancer driver genesbreakdown → | 729 |
| 3 | 303 | |
| 4 | 1 | |
| 5 | 177 | |
| 6 | 4 | |
| 7 | DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variantsbreakdown → | 1779 |
| 8 | 198 | |
| 9 | Cancer bioMarkers database | 1 |
| 10 | 217 | |
| 11 | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genesbreakdown → | 785 |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 383 | |
| 16 | 363 | |
| 17 | 73 |
About Jordi Deu-Pons
Jordi Deu-Pons is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 17 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Genomics and Rare Diseases (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (3.5k citations) and Computational Theory and Mathematics (589 citations). Jordi Deu-Pons has collaborated with scholars based in Spain, Switzerland and Canada. Frequent co-authors include Laura I. Furlong, Ferrán Sanz, Janet Piñero, Álex Bravo, Núria Queralt-Rosiñach, Núria López-Bigas, Abel González-Pérez, Emilio Centeno, Alba Gutiérrez‐Sacristán and Javier Garcı́a-Garcı́a. Their work appears in journals such as Nature, Nucleic Acids Research and Nature reviews. Cancer.
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.