Rodrígo Mora

55 papers receiving 1.5k citations

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 · 154 citations
154202220262023202450100150

Peers

Rodrígo Mora
Comparison fields: 5 of 161
  • Virology 106
  • Cancer Research 235
  • Infectious Diseases 284
  • Neurology 227
  • Neurology 98
Replace Jun Han with:
Jun Han China
Tomoko Kobayashi Japan
Carolina Arias United States
Katherine J. Martin United States
Axel Schulz Germany
Sandro Orrù Italy
Hong Yu China
Francesco Vallania United States
Abul Bashar Mir Md. Khademul Islam Bangladesh
Kenneth Katz United States
Rodrígo Mora relative to Jun Han China Jun Han's profile →
Citations per field
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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-authorship network

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
#Work
1 20240
2 20235
3 20222
4
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 →
2022154
5 20212
6 202013
7 202013
8 20188
9
A Comparison between a Relational Database, a Graph Database in the Context of a Personalized Cancer Treatment Application.
20161
10 2012161
11
Eighth International Space Syntax Symposium
201223
12
Nebrija ante Alberti. Arquitecturas romances del arte gramatical
20120
13
Where good ideas come from: The natural history of innovation
201153
14 2010191
15
Los instrumentos de repoblamiento del centro de Santiago
20101
16 200927
17 200844
18 200847
19 200525
20 200539

About Rodrígo Mora

Rodrígo Mora is a scholar working on Life-span and Life-course Studies, Virology, Physiology, Infectious Diseases and Building and Construction, 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 (7 papers), Mosquito-borne diseases and control (6 papers), COVID-19 Clinical Research Studies (5 papers), Spatial Cognition and Navigation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Venomous Animal Envenomation and Studies (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Virology (106 citations), Cancer Research (235 citations), Infectious Diseases (284 citations), Neurology (227 citations) and Neurology (98 citations). Rodrígo Mora has collaborated with scholars based in Costa Rica, United States and Germany. Frequent co-authors include José Marı́a Gutiérrez, Nathan Brady, Javier Mora, José Guevara-Coto, Anne Hamacher‐Brady, Bruno Lomonte, Edward K. L. Chan, Abhilash I. Chiramel, Ralf Bartenschlager and Bruce K. Patterson. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Cells, Journal of Biological Chemistry and Toxicon.

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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