Alberto Valdeolivas
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
Papers in
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- Bioinformatics and Genomic Networks 4
- Single-cell and spatial transcriptomics 3
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
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- Immune cells in cancer 2
- interferon and immune responses 1
- Co-authors
- Julio Sáez-Rodríguez (5 shared papers)Dénes Türei (3 shared papers)Anaı̈s Baudot (4 shared papers)Élisabeth Rémy (3 shared papers)Laurent Tichit (2 shared papers)Gaëlle Odelin (1 shared paper)Pierre Cau (1 shared paper)Claire Navarro (1 shared paper)
- Journals
- Nature Methods (1 paper)Toxicologic Pathology (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Alberto Valdeolivas
11 papers receiving 672 citations
Alberto Valdeolivas's Hit Papers
Peers
Comparison fields: 5 of 92
- Biophysics 54
- Molecular Biology 476
- Immunology 96
- Computational Theory and Mathematics 69
- Cancer Research 64
Countries citing papers authored by Alberto Valdeolivas
This map shows the geographic impact of Alberto Valdeolivas'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 Alberto Valdeolivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Valdeolivas more than expected).
Fields of papers citing papers by Alberto Valdeolivas
This network shows the impact of papers produced by Alberto Valdeolivas. 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 Alberto Valdeolivas. The network helps show where Alberto Valdeolivas may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Valdeolivas, 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 | Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data Hit paper breakdown → | 2022 | 237 |
| 2 | 2018 | 187 | |
| 3 | 2021 | 164 | |
| 4 | 2020 | 28 | |
| 5 | 2024 | 25 | |
| 6 | 2019 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Alberto Valdeolivas
Alberto Valdeolivas is a scholar working on Molecular Biology, Immunology, Statistical and Nonlinear Physics, Biophysics and Infectious Diseases, having authored 13 papers that have together received 679 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Complex Network Analysis Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), Immune cells in cancer (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Biophysics (54 citations), Molecular Biology (476 citations), Immunology (96 citations), Computational Theory and Mathematics (69 citations) and Cancer Research (64 citations). Alberto Valdeolivas has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Julio Sáez-Rodríguez, Dénes Türei, Anaı̈s Baudot, Élisabeth Rémy, Laurent Tichit, Gaëlle Odelin, Pierre Cau, Claire Navarro, Nicolas Lévy and Sophie Perrin. Their work appears in journals such as Nature Methods, Toxicologic Pathology, PLoS Computational Biology, Nature Communications and Bioinformatics.
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.