Rodrígo Mora
Impact in
Papers in
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- Sphingolipid Metabolism and Signaling 4
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- COVID-19 Clinical Research Studies 5
- Co-authors
- José Marı́a Gutiérrez (4 shared papers)Javier Mora (5 shared papers)Nathan Brady (3 shared papers)José Guevara-Coto (6 shared papers)Anne Hamacher‐Brady (2 shared papers)Bruno Lomonte (3 shared papers)Edward K. L. Chan (3 shared papers)Bruce K. Patterson (6 shared papers)
- Journals
- Journal of Virology (2 papers)Revista INVI (2 papers)Toxicon (2 papers)Scientific Reports (2 papers)Cells (2 papers)
- Partner nations
- Costa RicaUnited StatesGermany
In The Last Decade
Rodrígo Mora
59 papers receiving 1.6k citations
Rodrígo Mora's Hit Papers
Peers
Comparison fields: 5 of 163
- Virology 101
- Neurology 221
- Cancer Research 211
- Infectious Diseases 260
- Neurology 88
Countries citing papers authored by Rodrígo Mora
This map shows the geographic impact of Rodrígo Mora'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 Rodrígo Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrígo Mora more than expected).
Fields of papers citing papers by Rodrígo Mora
This network shows the impact of papers produced by Rodrígo Mora. 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 Rodrígo Mora. The network helps show where Rodrígo Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Rodrígo Mora, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 200 | |
| 2 | Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection Hit paper breakdown → | 2022 | 167 |
| 3 | 2012 | 166 | |
| 4 | 2021 | 131 | |
| 5 | 2015 | 94 | |
| 6 | 2010 | 84 | |
| 7 | 2018 | 79 | |
| 8 | Where good ideas come from: The natural history of innovation | 2011 | 73 |
| 9 | 2011 | 66 | |
| 10 | 2007 | 49 | |
| 11 | 2008 | 48 | |
| 12 | 2008 | 48 | |
| 13 | 2022 | 47 | |
| 14 | 2005 | 43 | |
| 15 | 2010 | 40 | |
| 16 | 2009 | 28 | |
| 17 | 2012 | 28 | |
| 18 | 2005 | 26 | |
| 19 | Eighth International Space Syntax Symposium | 2012 | 25 |
| 20 | 2020 | 16 |
About Rodrígo Mora
Rodrígo Mora is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Urban Design and Spatial Analysis (6 papers), Mosquito-borne diseases and control (6 papers), COVID-19 Clinical Research Studies (5 papers), Spatial Cognition and Navigation (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Venomous Animal Envenomation and Studies (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Virology (101 citations), Neurology (221 citations), Cancer Research (211 citations), Infectious Diseases (260 citations) and Neurology (88 citations). Rodrígo Mora has collaborated with scholars based in Costa Rica, United States and Germany. Frequent co-authors include José Marı́a Gutiérrez, Javier Mora, Nathan Brady, José Guevara-Coto, Anne Hamacher‐Brady, Bruno Lomonte, Edward K. L. Chan, Bruce K. Patterson, Ram Yogendra and Edgar B. Francisco. Their work appears in journals such as Journal of Virology, Revista INVI, Toxicon, Scientific Reports and Cells.
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.