A. Pascual-Montano
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- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 4
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- Face and Expression Recognition 2
- Image Retrieval and Classification Techniques 2
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- Force Microscopy Techniques and Applications 1
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- Machine Learning and Data Classification 1
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- Advanced Proteomics Techniques and Applications 1
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- Antifungal resistance and susceptibility 1
- Co-authors
- Rubén Nogales‐CadenasJ.M. CarazoFrancisco TiradoMiguél VázquezPedro Carmona‐SáezCarmen VicenteXiaoyuan YangFederico Abascal
- Journals
- Nucleic Acids Research (5 papers)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)PROTEOMICS (1 paper)
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
A. Pascual-Montano
12 papers receiving 534 citations
Peers
Comparison fields: 5 of 108
- Structural Biology 9
- Cancer Research 92
- Molecular Biology 357
- Cell Biology 60
- Genetics 71
Countries citing papers authored by A. Pascual-Montano
This map shows the geographic impact of A. Pascual-Montano'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 A. Pascual-Montano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pascual-Montano more than expected).
Fields of papers citing papers by A. Pascual-Montano
This network shows the impact of papers produced by A. Pascual-Montano. 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 A. Pascual-Montano. The network helps show where A. Pascual-Montano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Pascual-Montano, 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 | 2018 | 38 | |
| 2 | 2015 | 7 | |
| 3 | 2013 | 11 | |
| 4 | 2011 | 10 | |
| 5 | 2011 | 1 | |
| 6 | 2009 | 4 | |
| 7 | 2009 | 365 | |
| 8 | 2009 | 19 | |
| 9 | 2008 | 21 | |
| 10 | 2008 | 58 | |
| 11 | 2006 | 4 | |
| 12 | 2003 | 1 |
About A. Pascual-Montano
A. Pascual-Montano is a scholar working on Structural Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 539 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (4 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers), Force Microscopy Techniques and Applications (1 paper), Machine Learning and Data Classification (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Structural Biology (9 citations), Cancer Research (92 citations) and Molecular Biology (357 citations). A. Pascual-Montano has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include Rubén Nogales‐Cadenas, J.M. Carazo, Francisco Tirado, Miguél Vázquez, Pedro Carmona‐Sáez, Carmen Vicente, Xiaoyuan Yang, Federico Abascal, Javier Díez Pérez and Daniel Tabas‐Madrid. Their work appears in journals such as Nucleic Acids Research, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, PROTEOMICS, European Journal of Immunology and Plant Cell & Environment.
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.