Pablo Armas
Impact in
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- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 10
- RNA Interference and Gene Delivery 8
- DNA and Nucleic Acid Chemistry 8
- Advanced biosensing and bioanalysis techniques 7
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 2
- Genetics 2
- Co-authors
- Nora B. Calcaterra (21 shared papers)Andrea M. J. Weiner (8 shared papers)Ezequiel Margarit (5 shared papers)Sofía Nasif (1 shared paper)Andrés Binolfi (5 shared papers)Claudia Banchio (1 shared paper)Pablo Domizi (1 shared paper)Verónica A. Lombardo (2 shared papers)
In The Last Decade
Pablo Armas
22 papers receiving 653 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 534
- Cancer Research 56
- Genetics 39
- Cellular and Molecular Neuroscience 52
- Genetics 75
Countries citing papers authored by Pablo Armas
This map shows the geographic impact of Pablo Armas'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 Armas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Armas more than expected).
Fields of papers citing papers by Pablo Armas
This network shows the impact of papers produced by Pablo Armas. 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 Armas. The network helps show where Pablo Armas may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Armas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 80 | |
| 2 | 2016 | 76 | |
| 3 | 2010 | 55 | |
| 4 | 2010 | 52 | |
| 5 | 2019 | 48 | |
| 6 | 2007 | 45 | |
| 7 | 2016 | 38 | |
| 8 | 2015 | 35 | |
| 9 | 2021 | 35 | |
| 10 | 2008 | 27 | |
| 11 | 2013 | 27 | |
| 12 | 2014 | 24 | |
| 13 | 2001 | 22 | |
| 14 | 2004 | 22 | |
| 15 | 2018 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2013 | 14 | |
| 18 | 2006 | 12 | |
| 19 | 2023 | 6 | |
| 20 | 2013 | 5 |
About Pablo Armas
Pablo Armas is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 23 papers that have together received 659 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA Interference and Gene Delivery (8 papers), DNA and Nucleic Acid Chemistry (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (534 citations), Cancer Research (56 citations), Genetics (39 citations), Cellular and Molecular Neuroscience (52 citations) and Genetics (75 citations). Pablo Armas has collaborated with scholars based in Argentina, France and Brazil. Frequent co-authors include Nora B. Calcaterra, Andrea M. J. Weiner, Ezequiel Margarit, Sofía Nasif, Andrés Binolfi, Claudia Banchio, Pablo Domizi, Verónica A. Lombardo, Marcelo O. Cabada and Miguel L. Allende. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences, Journal of Cellular Biochemistry, Gene and The International Journal of Developmental Biology.
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.