Ludwig L. Albornóz

710 total citations
9 papers, 238 citations indexed

About

Ludwig L. Albornóz is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Ludwig L. Albornóz has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Oncology. Recurrent topics in Ludwig L. Albornóz's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and Viral Infections and Vectors (3 papers). Ludwig L. Albornóz is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and Viral Infections and Vectors (3 papers). Ludwig L. Albornóz collaborates with scholars based in Colombia, United States and Japan. Ludwig L. Albornóz's co-authors include Fernando Rosso, Shirit Einav, Makeda Robinson, Ana María Sanz, Malaya K. Sahoo, José G. Montoya, Benjamin A. Pinsky, Fabio Zanini, Derek Croote and Leslie Goo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Ludwig L. Albornóz

8 papers receiving 232 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ludwig L. Albornóz Colombia 5 129 124 73 58 34 9 238
Thaísa Regina Rocha Lopes Brazil 8 116 0.9× 143 1.2× 24 0.3× 25 0.4× 25 0.7× 19 228
Manu Mabila United States 4 157 1.2× 89 0.7× 70 1.0× 25 0.4× 71 2.1× 5 254
Natasha W. Hanners United States 6 90 0.7× 93 0.8× 64 0.9× 50 0.9× 55 1.6× 8 204
Masanobu Yamate Japan 6 221 1.7× 82 0.7× 71 1.0× 60 1.0× 61 1.8× 7 324
Lauren E. Andersen United States 4 122 0.9× 110 0.9× 93 1.3× 49 0.8× 73 2.1× 5 269
Joshua M. Deerain Australia 6 111 0.9× 62 0.5× 48 0.7× 56 1.0× 42 1.2× 10 207
Michelle Premazzi Papa Brazil 8 194 1.5× 230 1.9× 42 0.6× 40 0.7× 64 1.9× 10 336
Luzia Maria de‐Oliveira‐Pinto Brazil 10 181 1.4× 195 1.6× 24 0.3× 53 0.9× 31 0.9× 23 276
James J. Dollar United States 7 126 1.0× 60 0.5× 64 0.9× 26 0.4× 54 1.6× 15 237
Caroline Manet France 6 87 0.7× 50 0.4× 62 0.8× 94 1.6× 38 1.1× 8 224

Countries citing papers authored by Ludwig L. Albornóz

Since Specialization
Citations

This map shows the geographic impact of Ludwig L. Albornóz'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 Ludwig L. Albornóz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludwig L. Albornóz more than expected).

Fields of papers citing papers by Ludwig L. Albornóz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ludwig L. Albornóz. 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 Ludwig L. Albornóz. The network helps show where Ludwig L. Albornóz may publish in the future.

Co-authorship network of co-authors of Ludwig L. Albornóz

This figure shows the co-authorship network connecting the top 25 collaborators of Ludwig L. Albornóz. A scholar is included among the top collaborators of Ludwig L. Albornóz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ludwig L. Albornóz. Ludwig L. Albornóz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Victoria, Jorge, Joshua Ortiz‐Guzman, Juan Esteban García-Robledo, et al.. (2025). Smart CAR-T Nanosymbionts: archetypes and proto-models. Frontiers in Immunology. 16. 1635159–1635159. 3 indexed citations
2.
Albornóz, Ludwig L., et al.. (2023). Persistent and fatal severe acute respiratory syndrome coronavirus 2 infection in a patient with severe hypogammaglobulinemia: a case report. Journal of Medical Case Reports. 17(1). 194–194. 1 indexed citations
3.
Escobar, María Fernanda, et al.. (2023). Universal Screening for SARS-CoV-2 in Obstetric Care: Clinical Characteristics and Maternofetal Outcomes in a Latin American High-Complexity Unit. Journal of Patient Experience. 10. 672723140–672723140.
4.
Ruiz-Sternberg, Ángela María, et al.. (2021). Genomic characterization of SARS-CoV-2 and its association with clinical outcomes: a 1-year longitudinal study of the pandemic in Colombia. International Journal of Infectious Diseases. 116. 91–100. 4 indexed citations
5.
Pinzón-Rondón, Ángela María, et al.. (2021). Mutation profile of SARS-CoV-2 genome in a sample from the first year of the pandemic in Colombia. Infection Genetics and Evolution. 97. 105192–105192. 9 indexed citations
6.
Castro, María del Mar, et al.. (2021). Performance verification of the Abbott SARS-CoV-2 test for qualitative detection of IgG in Cali, Colombia. PLoS ONE. 16(9). e0256566–e0256566. 8 indexed citations
7.
Durham, Natasha D., Aditi Agrawal, Eric Waltari, et al.. (2019). Broadly neutralizing human antibodies against dengue virus identified by single B cell transcriptomics. eLife. 8. 49 indexed citations
8.
Robinson, Makeda, Timothy E. Sweeney, Rina Barouch‐Bentov, et al.. (2019). A 20-Gene Set Predictive of Progression to Severe Dengue. Cell Reports. 26(5). 1104–1111.e4. 50 indexed citations
9.
Zanini, Fabio, Makeda Robinson, Derek Croote, et al.. (2018). Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue. Proceedings of the National Academy of Sciences. 115(52). E12363–E12369. 114 indexed citations

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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