Federico Abascal
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 7
- DNA Repair Mechanisms 4
- Machine Learning in Bioinformatics 3
- Aging top 5%
- Insect Science top 1%
- Insect-Plant Interactions and Control 3
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 7
- Ecology top 2%
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- Evolution and Genetic Dynamics 5
- Co-authors
- Rafael ZardoyaDavid PosadaAlfonso ValenciaIñigo MartincorenaPeter J. CampbellIker IrisarriMichael R. StrattonAndrew Lawson
- Cited by
- Molecular BiologyAgingInsect Science
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Federico Abascal
36 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.2k
- Aging 77
- Insect Science 532
- Cancer Research 646
- Ecology 795
Countries citing papers authored by Federico Abascal
This map shows the geographic impact of Federico Abascal'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 Federico Abascal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Abascal more than expected).
Fields of papers citing papers by Federico Abascal
This network shows the impact of papers produced by Federico Abascal. 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 Federico Abascal. The network helps show where Federico Abascal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Federico Abascal, 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 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 94 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 137 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 218 | |
| 11 | 2018 | 39 | |
| 12 | Somatic mutant clones colonize the human esophagus with agebreakdown → | 2018 | 651 |
| 13 | 2013 | 187 | |
| 14 | 2012 | 54 | |
| 15 | 2012 | 102 | |
| 16 | 2012 | 137 | |
| 17 | 2009 | 6 | |
| 18 | 2008 | 58 | |
| 19 | ProtTest: selection of best-fit models of protein evolutionbreakdown → | 2005 | 2712 |
| 20 | 2003 | 37 |
About Federico Abascal
Federico Abascal is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 37 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (7 papers), Evolution and Genetic Dynamics (5 papers), DNA Repair Mechanisms (4 papers), Machine Learning in Bioinformatics (3 papers) and Insect-Plant Interactions and Control (3 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Aging (77 citations) and Insect Science (532 citations). Federico Abascal has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Rafael Zardoya, David Posada, Alfonso Valencia, Iñigo Martincorena, Peter J. Campbell, Iker Irisarri, Michael R. Stratton, Andrew Lawson, Philip H. Jones and Kasumi Murai. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Bioinformatics, Nature Genetics and Genome Biology and Evolution.
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.