Antonio del Sol
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
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- Computational Drug Discovery Methods
Papers in
-
- Cell Image Analysis Techniques 7
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- Gene Regulatory Network Analysis 29
- Single-cell and spatial transcriptomics 24
- Pluripotent Stem Cells Research 21
- CRISPR and Genetic Engineering 19
- Bioinformatics and Genomic Networks 14
- Protein Structure and Dynamics 12
- Co-authors
- Ruth NussinovChung‐Jung TsaiBuyong MaSatoshi OkawaIsaac CrespoRudi BallingVladimir Espinosa AngaricaGökhan Ertaylan
- Journals
- Nucleic Acids Research (7 papers)PLoS ONE (5 papers)Stem Cells (4 papers)Bioinformatics (4 papers)Stem Cell Reports (4 papers)
- Partner nations
- LuxembourgSpainUnited States
In The Last Decade
Antonio del Sol
94 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.4k
- Computational Theory and Mathematics 585
- Cancer Research 421
- Oncology 540
- Cell Biology 289
Countries citing papers authored by Antonio del Sol
This map shows the geographic impact of Antonio del Sol'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 Antonio del Sol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio del Sol more than expected).
Fields of papers citing papers by Antonio del Sol
This network shows the impact of papers produced by Antonio del Sol. 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 Antonio del Sol. The network helps show where Antonio del Sol may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio del Sol, 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 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 51 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 7 | |
| 18 | 2018 | 10 | |
| 19 | 2014 | 46 | |
| 20 | 2009 | 283 |
About Antonio del Sol
Antonio del Sol is a scholar working on Biophysics, Molecular Biology, Cancer Research, Neurology and Developmental Neuroscience, having authored 96 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (29 papers), Single-cell and spatial transcriptomics (24 papers), Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (19 papers), Bioinformatics and Genomic Networks (14 papers), Protein Structure and Dynamics (12 papers), Cell Image Analysis Techniques (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Computational Theory and Mathematics (585 citations), Cancer Research (421 citations), Oncology (540 citations) and Cell Biology (289 citations). Antonio del Sol has collaborated with scholars based in Luxembourg, Spain and United States. Frequent co-authors include Ruth Nussinov, Chung‐Jung Tsai, Buyong Ma, Satoshi Okawa, Isaac Crespo, Rudi Balling, Vladimir Espinosa Angarica, Gökhan Ertaylan, Sascha Jung and Lee Hood. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Stem Cells, Bioinformatics and Stem Cell Reports.
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.