J. Palacio
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Quantum Chromodynamics and Particle Interactions
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
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- Cosmology and Gravitation Theories
Papers in
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- Dark Matter and Cosmic Phenomena 3
- Particle Detector Development and Performance 2
- Astrophysics and Cosmic Phenomena 2
- Particle physics theoretical and experimental studies 1
- Neutrino Physics Research 1
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- CRISPR and Genetic Engineering 1
- RNA Interference and Gene Delivery 1
- Co-authors
- Stefano Morisi (1 shared paper)M. Hirsch (1 shared paper)R. A. Lineros (1 shared paper)J. W. F. Valle (1 shared paper)Nicolás Rojas (1 shared paper)J. Rico (2 shared papers)Alessandra Roncaglioni (1 shared paper)M. Vázquez Acosta (1 shared paper)
- Journals
- Journal of High Energy Physics (1 paper)Astroparticle Physics (1 paper)Toxicology (1 paper)Journal of Physics Conference Series (1 paper)
In The Last Decade
J. Palacio
4 papers receiving 73 citations
Peers
Comparison fields: 5 of 9
- Nuclear and High Energy Physics 71
- Astronomy and Astrophysics 32
- Small Animals 1
- Mathematical Physics 1
- Health, Toxicology and Mutagenesis 1
Countries citing papers authored by J. Palacio
This map shows the geographic impact of J. Palacio'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 J. Palacio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Palacio more than expected).
Fields of papers citing papers by J. Palacio
This network shows the impact of papers produced by J. Palacio. 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 J. Palacio. The network helps show where J. Palacio may publish in the future.
Co-authors
The 16 scholars most cited alongside J. Palacio, 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 | 2013 | 69 | |
| 2 | 2018 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2016 | 1 |
About J. Palacio
J. Palacio is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 74 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (3 papers), Particle Detector Development and Performance (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Computational Drug Discovery Methods (1 paper), Particle physics theoretical and experimental studies (1 paper), Neutrino Physics Research (1 paper), CRISPR and Genetic Engineering (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (71 citations), Astronomy and Astrophysics (32 citations), Small Animals (1 citation), Mathematical Physics (1 citation) and Health, Toxicology and Mutagenesis (1 citation). J. Palacio has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include Stefano Morisi, M. Hirsch, R. A. Lineros, J. W. F. Valle, Nicolás Rojas, J. Rico, Alessandra Roncaglioni, M. Vázquez Acosta, C. Maggio and J. Aleksić. Their work appears in journals such as Journal of High Energy Physics, Astroparticle Physics, Toxicology and Journal of Physics Conference Series.
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.