Rodrígo Mora

55 papers receiving 1.5k citations

Rodrígo Mora's Hit Papers

Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection 2022 · 166 citations
1660+1+2Years since publication50100150

Peers

Rodrígo Mora
Comparison fields: 5 of 160
  • Virology 97
  • Neurology 220
  • Cancer Research 206
  • Infectious Diseases 253
  • Neurology 88
Replace Jarno Tuimala with:
Jarno Tuimala Finland
Shengli Xu Singapore
Tomoko Kobayashi Japan
Jun Han China
Carolina Arias United States
Qian Huang United States
Carrie Arnold United States
David J. Munroe United States
Katherine J. Martin United States
John S. Tsang United States
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Citations per year

Countries citing papers authored by Rodrígo Mora

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rodrígo Mora Line = papers co-authored together Rodrígo Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
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 →
2022166
3 2012160
4 2021131
5 201593
6 201084
7 201878
8 201165
9
Where good ideas come from: The natural history of innovation
201153
10 200749
11 200847
12 202246
13 200842
14 200540
15 201038
16 201228
17 200927
18 200526
19
Eighth International Space Syntax Symposium
201223
20 202014

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 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Urban Design and Spatial Analysis (6 papers), COVID-19 Clinical Research Studies (5 papers), Mosquito-borne diseases and control (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 (97 citations), Neurology (220 citations), Cancer Research (206 citations), Infectious Diseases (253 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, José Guevara-Coto, Nathan Brady, Javier Mora, 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 Revista INVI, Frontiers in Immunology, Cells, Journal of Virology and Journal of Biological Chemistry.

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.

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