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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- DNA and Nucleic Acid Chemistry 9
- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 8
- RNA Research and Splicing 8
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 4
- Genetics 3
- Neurogenetic and Muscular Disorders Research 2
- Co-authors
- Nora B. Calcaterra (22 shared papers)Andrea M. J. Weiner (8 shared papers)Ezequiel Margarit (5 shared papers)Andrés Binolfi (5 shared papers)Sofía Nasif (1 shared paper)Claudia Banchio (1 shared paper)Pablo Domizi (1 shared paper)Marcelo O. Cabada (1 shared paper)
In The Last Decade
Pablo Armas
23 papers receiving 671 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 517
- Genetics 36
- Cancer Research 49
- Cellular and Molecular Neuroscience 54
- Genetics 74
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 80 | |
| 2 | 2016 | 78 | |
| 3 | 2010 | 55 | |
| 4 | 2010 | 52 | |
| 5 | 2019 | 49 | |
| 6 | 2007 | 45 | |
| 7 | 2016 | 40 | |
| 8 | 2021 | 36 | |
| 9 | 2015 | 35 | |
| 10 | 2013 | 27 | |
| 11 | 2008 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2001 | 22 | |
| 14 | 2004 | 22 | |
| 15 | 2021 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2013 | 16 | |
| 18 | 2006 | 12 | |
| 19 | 2023 | 8 | |
| 20 | 2013 | 6 |
About Pablo Armas
Pablo Armas is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 24 papers that have together received 677 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Molecular Biology (517 citations), Genetics (36 citations), Cancer Research (49 citations), Cellular and Molecular Neuroscience (54 citations) and Genetics (74 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, Andrés Binolfi, Sofía Nasif, Claudia Banchio, Pablo Domizi, Marcelo O. Cabada, Verónica A. Lombardo and Miguel L. Allende. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences, The American Journal of Human Genetics, Gene and Transcription.
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.