Javier García‐Pardo
- Cell Biology top 10%
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- Prion Diseases and Protein Misfolding 6
- Protein Hydrolysis and Bioactive Peptides 5
- Protein Structure and Dynamics 4
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- Alzheimer's disease research and treatments 5
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- Peptidase Inhibition and Analysis 8
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- Neuropeptides and Animal Physiology 4
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- Parkinson's Disease Mechanisms and Treatments 3
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- Gold and Silver Nanoparticles Synthesis and Applications 3
- Co-authors
- Júlia LorenzoSalvador VenturaWalter David ObregónJuliana CotabarrenMónica Graciela ParisiDaniel Ruiz‐MolinaMariana TellecheaIvan Đikić
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- SpainArgentinaUnited States
In The Last Decade
Javier García‐Pardo
41 papers receiving 795 citations
Peers
Comparison fields: 5 of 94
- Cell Biology 125
- Biomaterials 88
- Molecular Biology 400
- Physiology 23
- Food Science 66
Countries citing papers authored by Javier García‐Pardo
This map shows the geographic impact of Javier García‐Pardo'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 Javier García‐Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier García‐Pardo more than expected).
Fields of papers citing papers by Javier García‐Pardo
This network shows the impact of papers produced by Javier García‐Pardo. 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 Javier García‐Pardo. The network helps show where Javier García‐Pardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier García‐Pardo, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 74 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 154 | |
| 15 | 2018 | 24 | |
| 16 | 2018 | 120 | |
| 17 | 2017 | 35 | |
| 18 | 2017 | 6 | |
| 19 | 2015 | 8 | |
| 20 | 2014 | 19 |
About Javier García‐Pardo
Javier García‐Pardo is a scholar working on Molecular Biology, Oncology and Polymers and Plastics, having authored 43 papers that have together received 799 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Prion Diseases and Protein Misfolding (6 papers), Alzheimer's disease research and treatments (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Protein Structure and Dynamics (4 papers), Neuropeptides and Animal Physiology (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Cell Biology (125 citations), Biomaterials (88 citations) and Molecular Biology (400 citations). Javier García‐Pardo has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Júlia Lorenzo, Salvador Ventura, Walter David Obregón, Juliana Cotabarren, Mónica Graciela Parisi, Daniel Ruiz‐Molina, Mariana Tellechea, Ivan Đikić, Adriana Rosso and Mikhail Kudryashev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.