Federico Abascal
Impact in
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Insect-Plant Interactions and Control
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- Plant and animal studies
Papers in
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- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 1
- RNA modifications and cancer 1
- RNA Research and Splicing 1
- Machine Learning in Bioinformatics 1
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- Chromosomal and Genetic Variations 1
- Co-authors
- Rafael Zardoya (1 shared paper)Maximilian J. Telford (1 shared paper)Alfonso Valencia (2 shared papers)Michael L. Tress (2 shared papers)Armelle Corpet (1 shared paper)Françoise Ochsenbein (1 shared paper)Daniel Rico (1 shared paper)Geneviève Almouzni (1 shared paper)
- Journals
- BMC Genomics (1 paper)Molecular Biology and Evolution (1 paper)Trends in Biochemical Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Federico Abascal
3 papers receiving 1.4k citations
Federico Abascal's Hit Papers
Peers
Comparison fields: 5 of 83
- Insect Science 199
- Ecology, Evolution, Behavior and Systematics 244
- Molecular Biology 755
- Ecology 256
- Genetics 258
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-authors
The 13 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 | TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations Hit paper breakdown → | 2010 | 1158 |
| 2 | 2016 | 236 | |
| 3 | 2013 | 50 | |
| 4 | 2025 | 0 |
About Federico Abascal
Federico Abascal is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (1 paper), Chromosomal and Genetic Variations (1 paper), RNA modifications and cancer (1 paper), RNA Research and Splicing (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Insect Science (199 citations), Ecology, Evolution, Behavior and Systematics (244 citations), Molecular Biology (755 citations), Ecology (256 citations) and Genetics (258 citations). Federico Abascal has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Rafael Zardoya, Maximilian J. Telford, Alfonso Valencia, Michael L. Tress, Armelle Corpet, Françoise Ochsenbein, Daniel Rico, Geneviève Almouzni, Zachary A. Gurard‐Levin and David Juan. Their work appears in journals such as BMC Genomics, Molecular Biology and Evolution, Trends in Biochemical Sciences and Nucleic Acids Research.
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.