Jon Sánchez-Valle
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Bioinformatics and Genomic Networks 4
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
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- Cancer-related cognitive impairment studies 2
- Ferroptosis and cancer prognosis 2
- Co-authors
- Alfonso Valencia (12 shared papers)Rafael Tabarés‐Seisdedos (4 shared papers)Anaı̈s Baudot (4 shared papers)Kristina Ibáñez (2 shared papers)Héctor Tejero (2 shared papers)Fátima Al‐Shahrour (2 shared papers)Martin Krallinger (1 shared paper)Véra Pancaldi (4 shared papers)
- Journals
- Cancers (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)BMC Medicine (1 paper)Scientific Data (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Jon Sánchez-Valle
11 papers receiving 224 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 12
- Neurology 17
- Modeling and Simulation 8
- Molecular Biology 117
- Genetics 44
Countries citing papers authored by Jon Sánchez-Valle
This map shows the geographic impact of Jon Sánchez-Valle'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 Jon Sánchez-Valle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Sánchez-Valle more than expected).
Fields of papers citing papers by Jon Sánchez-Valle
This network shows the impact of papers produced by Jon Sánchez-Valle. 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 Jon Sánchez-Valle. The network helps show where Jon Sánchez-Valle may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Sánchez-Valle, 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 | 2017 | 73 | |
| 2 | 2019 | 37 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Jon Sánchez-Valle
Jon Sánchez-Valle is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Physiology and Genetics, having authored 12 papers that have together received 225 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Cancer-related cognitive impairment studies (2 papers), Ferroptosis and cancer prognosis (2 papers), Genomics and Rare Diseases (2 papers), Chronic Disease Management Strategies (2 papers), Single-cell and spatial transcriptomics (1 paper), Machine Learning in Bioinformatics (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Biological Psychiatry (12 citations), Neurology (17 citations), Modeling and Simulation (8 citations), Molecular Biology (117 citations) and Genetics (44 citations). Jon Sánchez-Valle has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Alfonso Valencia, Rafael Tabarés‐Seisdedos, Anaı̈s Baudot, Kristina Ibáñez, Héctor Tejero, Fátima Al‐Shahrour, Martin Krallinger, Véra Pancaldi, Jaume Forés-Martos and Joan Climent. Their work appears in journals such as Cancers, Scientific Reports, Nature Communications, BMC Medicine and Scientific Data.
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.