Marcelo M. Samsa

1.2k total citations · 1 hit paper
7 papers, 955 citations indexed

About

Marcelo M. Samsa is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Biochemistry. According to data from OpenAlex, Marcelo M. Samsa has authored 7 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Public Health, Environmental and Occupational Health and 2 papers in Biochemistry. Recurrent topics in Marcelo M. Samsa's work include Mosquito-borne diseases and control (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Insect symbiosis and bacterial influences (2 papers). Marcelo M. Samsa is often cited by papers focused on Mosquito-borne diseases and control (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Insect symbiosis and bacterial influences (2 papers). Marcelo M. Samsa collaborates with scholars based in Argentina, United States and Brazil. Marcelo M. Samsa's co-authors include Andrea V. Gamarnik, Juan A. Mondotte, Néstor Gabriel Iglesias, Giselle Barbosa-Lima, Andrea T. Da Poian, Iranaia Assunção‐Miranda, Patrı́cia T. Bozza, Lı́a I. Pietrasanta, María F. Lodeiro and Diego E. Álvarez and has published in prestigious journals such as Genes & Development, Journal of Virology and PLoS Pathogens.

In The Last Decade

Marcelo M. Samsa

7 papers receiving 938 citations

Hit Papers

Dengue Virus Capsid Protein Usurps Lipid Droplets for Vir... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo M. Samsa Argentina 7 591 437 252 171 166 7 955
Teresa Merino-Ramos Spain 12 529 0.9× 388 0.9× 130 0.5× 67 0.4× 69 0.4× 13 714
Rubén Soto-Acosta United States 9 598 1.0× 403 0.9× 141 0.6× 112 0.7× 135 0.8× 10 758
Ching-Len Liao Taiwan 9 251 0.4× 225 0.5× 106 0.4× 61 0.4× 29 0.2× 10 447
Stephen M. Rawlinson Australia 15 364 0.6× 403 0.9× 251 1.0× 199 1.2× 47 0.3× 27 874
Éric Bernard France 15 455 0.8× 389 0.9× 206 0.8× 140 0.8× 130 0.8× 23 813
Irina C. Albulescu Netherlands 14 460 0.8× 522 1.2× 165 0.7× 102 0.6× 60 0.4× 20 840
Jacky Flipse Netherlands 12 418 0.7× 386 0.9× 554 2.2× 61 0.4× 55 0.3× 25 1.1k
Nicholas J. Barrows United States 10 770 1.3× 597 1.4× 439 1.7× 126 0.7× 189 1.1× 11 1.3k
Ali Taş Netherlands 16 453 0.8× 901 2.1× 231 0.9× 113 0.7× 65 0.4× 29 1.3k
María F. Lodeiro United States 11 571 1.0× 392 0.9× 413 1.6× 174 1.0× 209 1.3× 12 1.0k

Countries citing papers authored by Marcelo M. Samsa

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo M. Samsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo M. Samsa. 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 Marcelo M. Samsa. The network helps show where Marcelo M. Samsa may publish in the future.

Co-authorship network of co-authors of Marcelo M. Samsa

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo M. Samsa. A scholar is included among the top collaborators of Marcelo M. Samsa 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 Marcelo M. Samsa. Marcelo M. Samsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Kackos, Christina, Jennifer DeBeauchamp, Christopher J.H. Davitt, et al.. (2023). Seasonal quadrivalent mRNA vaccine prevents and mitigates influenza infection. npj Vaccines. 8(1). 157–157. 22 indexed citations
2.
Kackos, Christina, Sherri L. Surman, Bart G. Jones, et al.. (2023). mRNA Vaccine Mitigates SARS-CoV-2 Infections and COVID-19. Microbiology Spectrum. 11(1). e0424022–e0424022. 7 indexed citations
3.
Samsa, Marcelo M., Lesley C. Dupuy, Clayton W. Beard, et al.. (2019). Self-Amplifying RNA Vaccines for Venezuelan Equine Encephalitis Virus Induce Robust Protective Immunogenicity in Mice. Molecular Therapy. 27(4). 850–865. 51 indexed citations
4.
Iglesias, Néstor Gabriel, Juan A. Mondotte, Laura A. Byk, et al.. (2015). Dengue Virus Uses a Non‐Canonical Function of the Host GBF1‐Arf‐COPI System for Capsid Protein Accumulation on Lipid Droplets. Traffic. 16(9). 962–977. 58 indexed citations
5.
Samsa, Marcelo M., Juan A. Mondotte, Julio J. Caramelo, & Andrea V. Gamarnik. (2011). Uncoupling cis -Acting RNA Elements from Coding Sequences Revealed a Requirement of the N-Terminal Region of Dengue Virus Capsid Protein in Virus Particle Formation. Journal of Virology. 86(2). 1046–1058. 53 indexed citations
6.
Samsa, Marcelo M., Juan A. Mondotte, Néstor Gabriel Iglesias, et al.. (2009). Dengue Virus Capsid Protein Usurps Lipid Droplets for Viral Particle Formation. PLoS Pathogens. 5(10). e1000632–e1000632. 463 indexed citations breakdown →
7.
Filomatori, Claudia V., María F. Lodeiro, Diego E. Álvarez, et al.. (2006). A 5′ RNA element promotes dengue virus RNA synthesis on a circular genome. Genes & Development. 20(16). 2238–2249. 301 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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