Guillermo Risso
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- PI3K/AKT/mTOR signaling in cancer
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 9
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 5
- PI3K/AKT/mTOR signaling in cancer 3
- RNA and protein synthesis mechanisms 2
- Protein Degradation and Inhibitors 1
- Co-authors
- Anabella Srebrow (11 shared papers)Berta Pozzi (6 shared papers)Pablo Mammi (4 shared papers)Matı́as Blaustein (5 shared papers)Federico Pelisch (7 shared papers)Manuel J. Muñoz (2 shared papers)Federico A. De Maio (1 shared paper)Estefanía Mancini (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (2 papers)PLoS ONE (2 papers)Briefings in Functional Genomics (1 paper)Biochemical Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ArgentinaCubaUnited States
In The Last Decade
Guillermo Risso
12 papers receiving 659 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 444
- Cancer Research 87
- Infectious Diseases 73
- Virology 18
- Aging 6
Countries citing papers authored by Guillermo Risso
This map shows the geographic impact of Guillermo Risso'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 Guillermo Risso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Risso more than expected).
Fields of papers citing papers by Guillermo Risso
This network shows the impact of papers produced by Guillermo Risso. 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 Guillermo Risso. The network helps show where Guillermo Risso may publish in the future.
Co-authors
The 25 scholars most cited alongside Guillermo Risso, 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 | 2016 | 153 | |
| 2 | 2015 | 150 | |
| 3 | 2012 | 64 | |
| 4 | 2012 | 55 | |
| 5 | 2010 | 52 | |
| 6 | 2012 | 44 | |
| 7 | 2013 | 38 | |
| 8 | 2017 | 37 | |
| 9 | 2013 | 29 | |
| 10 | 2012 | 28 | |
| 11 | 2009 | 11 | |
| 12 | 2012 | 2 |
About Guillermo Risso
Guillermo Risso is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Cell Biology and Immunology, having authored 12 papers that have together received 663 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), RNA and protein synthesis mechanisms (2 papers), Protein Degradation and Inhibitors (1 paper), Mosquito-borne diseases and control (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (444 citations), Cancer Research (87 citations), Infectious Diseases (73 citations), Virology (18 citations) and Aging (6 citations). Guillermo Risso has collaborated with scholars based in Argentina, Cuba and United States. Frequent co-authors include Anabella Srebrow, Berta Pozzi, Pablo Mammi, Matı́as Blaustein, Federico Pelisch, Manuel J. Muñoz, Federico A. De Maio, Estefanía Mancini, Andrea V. Gamarnik and Marcelo J. Yanovsky. Their work appears in journals such as Journal of Cellular Biochemistry, PLoS ONE, Briefings in Functional Genomics, Biochemical Journal and Proceedings of the National Academy of Sciences.
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.