Guillermo J. Risso
Impact in
-
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
- Metabolism, Diabetes, and Cancer
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 8
- Ubiquitin and proteasome pathways 3
- PI3K/AKT/mTOR signaling in cancer 2
- RNA and protein synthesis mechanisms 1
-
- Endoplasmic Reticulum Stress and Disease 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 Javier Muñoz (2 shared papers)Nevan J. Krogan (1 shared paper)Federico Andrés De Maio (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Cellular Biochemistry (2 papers)Biochemical Journal (1 paper)Nucleic Acids Research (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- ArgentinaUnited KingdomUnited States
In The Last Decade
Guillermo J. Risso
12 papers receiving 675 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 401
- Cancer Research 48
- Public Health, Environmental and Occupational Health 93
- Aging 4
- Immunology 36
Countries citing papers authored by Guillermo J. Risso
This map shows the geographic impact of Guillermo J. 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 J. 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 J. Risso more than expected).
Fields of papers citing papers by Guillermo J. Risso
This network shows the impact of papers produced by Guillermo J. 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 J. Risso. The network helps show where Guillermo J. Risso may publish in the future.
Co-authors
The 25 scholars most cited alongside Guillermo J. 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 | 162 | |
| 2 | 2015 | 152 | |
| 3 | 2012 | 67 | |
| 4 | 2012 | 56 | |
| 5 | 2010 | 53 | |
| 6 | 2012 | 43 | |
| 7 | 2017 | 38 | |
| 8 | 2013 | 35 | |
| 9 | 2013 | 30 | |
| 10 | 2012 | 29 | |
| 11 | 2009 | 11 | |
| 12 | 2012 | 4 |
About Guillermo J. Risso
Guillermo J. Risso is a scholar working on Molecular Biology, Cell Biology, Oncology, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 12 papers that have together received 680 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Ubiquitin and proteasome pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA and protein synthesis mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Mosquito-borne diseases and control (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (401 citations), Cancer Research (48 citations), Public Health, Environmental and Occupational Health (93 citations), Aging (4 citations) and Immunology (36 citations). Guillermo J. Risso has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Anabella Srebrow, Berta Pozzi, Pablo Mammi, Matı́as Blaustein, Federico Pelisch, Manuel Javier Muñoz, Nevan J. Krogan, Federico Andrés De Maio, Raul Andino and Priya S. Shah. Their work appears in journals such as PLoS ONE, Journal of Cellular Biochemistry, Biochemical Journal, Nucleic Acids Research and PLoS Pathogens.
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.