Pilar Cacheiro
Impact in
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- Genomics and Rare Diseases
Papers in
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- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Mitochondrial Function and Pathology 2
- Single-cell and spatial transcriptomics 1
- Genetics 7
- Genomics and Rare Diseases 6
- Genetics and Neurodevelopmental Disorders 2
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Damian Smedley (8 shared papers)Melissa Haendel (1 shared paper)Ãngel Carracedo (5 shared papers)Helen Parkinson (3 shared papers)Robert Wilson (3 shared papers)Federico López (2 shared papers)Beatriz Quintáns (4 shared papers)Luís Santos (1 shared paper)
- Journals
- Disease Models & Mechanisms (2 papers)Mammalian Genome (2 papers)Nucleic Acids Research (2 papers)Human Mutation (1 paper)Molecular Diagnosis & Therapy (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Pilar Cacheiro
13 papers receiving 352 citations
Pilar Cacheiro's Hit Papers
Peers
Comparison fields: 5 of 76
- Aging 7
- Genetics 103
- Cellular and Molecular Neuroscience 67
- Molecular Biology 228
- Neurology 41
Countries citing papers authored by Pilar Cacheiro
This map shows the geographic impact of Pilar Cacheiro'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 Pilar Cacheiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar Cacheiro more than expected).
Fields of papers citing papers by Pilar Cacheiro
This network shows the impact of papers produced by Pilar Cacheiro. 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 Pilar Cacheiro. The network helps show where Pilar Cacheiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Pilar Cacheiro, 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 | 2012 | 64 | |
| 3 | 2019 | 43 | |
| 4 | 2014 | 23 | |
| 5 | 2016 | 18 | |
| 6 | 2012 | 11 | |
| 7 | 2017 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2020 | 0 |
About Pilar Cacheiro
Pilar Cacheiro is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 15 papers that have together received 354 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), Biomedical Text Mining and Ontologies (5 papers), Genetics and Neurodevelopmental Disorders (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Mitochondrial Function and Pathology (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (7 citations), Genetics (103 citations), Cellular and Molecular Neuroscience (67 citations), Molecular Biology (228 citations) and Neurology (41 citations). Pilar Cacheiro has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Damian Smedley, Melissa Haendel, Ãngel Carracedo, Helen Parkinson, Robert Wilson, Federico López, Beatriz Quintáns, Luís Santos, Piia Keskivali-Bond and Ann‐Marie Mallon. Their work appears in journals such as Disease Models & Mechanisms, Mammalian Genome, Nucleic Acids Research, Human Mutation and Molecular Diagnosis & Therapy.
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.