Federico López
Impact in
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- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
Papers in
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- Biomedical Text Mining and Ontologies 6
- Single-cell and spatial transcriptomics 1
- Bioinformatics and Genomic Networks 1
- Advanced Biosensing Techniques and Applications 1
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- Semantic Web and Ontologies 3
- Co-authors
- Helen Parkinson (3 shared papers)Tudor Groza (2 shared papers)Pilar Cacheiro (2 shared papers)Luís Santos (1 shared paper)Piia Keskivali-Bond (2 shared papers)Sara Wells (2 shared papers)Ann‐Marie Mallon (1 shared paper)Damian Smedley (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Journal of Biomedical Semantics (1 paper)PeerJ (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- SpainUnited KingdomColombia
In The Last Decade
Federico López
6 papers receiving 194 citations
Federico López's Hit Papers
Peers
Comparison fields: 5 of 71
- Aging 4
- Genetics 58
- Molecular Biology 121
- Information Systems and Management 9
- Equine 2
Countries citing papers authored by Federico López
This map shows the geographic impact of Federico López'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 López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico López more than expected).
Fields of papers citing papers by Federico López
This network shows the impact of papers produced by Federico López. 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 López. The network helps show where Federico López may publish in the future.
Co-authors
The 24 scholars most cited alongside Federico López, 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 | The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease Hit paper breakdown → | 2022 | 171 |
| 2 | 2022 | 8 | |
| 3 | 2017 | 8 | |
| 4 | 2018 | 4 | |
| 5 | 2012 | 3 | |
| 6 | 2018 | 1 | |
| 7 | 2025 | 0 |
About Federico López
Federico López is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Information Systems and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 195 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (3 papers), Single-cell and spatial transcriptomics (1 paper), Bioinformatics and Genomic Networks (1 paper), Scientific Computing and Data Management (1 paper), Genomics and Rare Diseases (1 paper), Cell Image Analysis Techniques (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Aging (4 citations), Genetics (58 citations), Molecular Biology (121 citations), Information Systems and Management (9 citations) and Equine (2 citations). Federico López has collaborated with scholars based in Spain, United Kingdom and Colombia. Frequent co-authors include Helen Parkinson, Tudor Groza, Pilar Cacheiro, Luís Santos, Piia Keskivali-Bond, Sara Wells, Ann‐Marie Mallon, Damian Smedley, Robert Wilson and Violeta Muñoz‐Fuentes. Their work appears in journals such as Nucleic Acids Research, Journal of Biomedical Semantics, PeerJ and Zenodo (CERN European Organization for Nuclear 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.