Pablo Pérez‐Piñera
- Aging top 1%
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 27
- RNA Interference and Gene Delivery 13
- RNA and protein synthesis mechanisms 8
- Wnt/β-catenin signaling in development and cancer 5
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 13
- Skin and Cellular Biology Research 7
- Genetics top 5%
- Virus-based gene therapy research 7
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- Nerve injury and regeneration 10
- Co-authors
- Charles A. GersbachDavid G. OusteroutThomas F. DeuelJosé A. VegaFarshid GuilakGregory E. CrawfordTimothy K. LuAmi M. Kabadi
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Pablo Pérez‐Piñera
78 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 179
- Business and International Management 159
- Molecular Biology 3.5k
- Cell Biology 425
- Genetics 694
Countries citing papers authored by Pablo Pérez‐Piñera
This map shows the geographic impact of Pablo Pérez‐Piñera'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 Pablo Pérez‐Piñera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Pérez‐Piñera more than expected).
Fields of papers citing papers by Pablo Pérez‐Piñera
This network shows the impact of papers produced by Pablo Pérez‐Piñera. 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 Pablo Pérez‐Piñera. The network helps show where Pablo Pérez‐Piñera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo Pérez‐Piñera, 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 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 35 | |
| 6 | 2018 | 26 | |
| 7 | 2016 | 102 | |
| 8 | 2015 | 105 | |
| 9 | 2013 | 195 | |
| 10 | 2013 | 139 | |
| 11 | 2012 | 23 | |
| 12 | 2010 | 36 | |
| 13 | 2010 | 14 | |
| 14 | 2009 | 32 | |
| 15 | 2009 | 14 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 48 | |
| 18 | 2006 | 11 | |
| 19 | 2005 | 44 | |
| 20 | 2003 | 116 |
About Pablo Pérez‐Piñera
Pablo Pérez‐Piñera is a scholar working on Cell Biology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 4.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (27 papers), RNA Interference and Gene Delivery (13 papers), Proteoglycans and glycosaminoglycans research (13 papers), Nerve injury and regeneration (10 papers), RNA and protein synthesis mechanisms (8 papers), Virus-based gene therapy research (7 papers), Skin and Cellular Biology Research (7 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). The work is most often cited by research in Aging (179 citations), Business and International Management (159 citations) and Molecular Biology (3.5k citations). Pablo Pérez‐Piñera has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Charles A. Gersbach, David G. Ousterout, Thomas F. Deuel, José A. Vega, Farshid Guilak, Gregory E. Crawford, Timothy K. Lu, Ami M. Kabadi, Pratiksha I. Thakore and Timothy E. Reddy. 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.