Marcos Ramírez

417 total citations
10 papers, 336 citations indexed

About

Marcos Ramírez is a scholar working on Immunology, Molecular Biology and Ocean Engineering. According to data from OpenAlex, Marcos Ramírez has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Ocean Engineering. Recurrent topics in Marcos Ramírez's work include Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers) and Oil and Gas Production Techniques (2 papers). Marcos Ramírez is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers) and Oil and Gas Production Techniques (2 papers). Marcos Ramírez collaborates with scholars based in Chile, United Kingdom and Sweden. Marcos Ramírez's co-authors include Flavio Salazar‐Onfray, Ariadna Mendoza‐Naranjo, Mercedes López, Cristián Pereda, Andrés Tittarelli, Rolf Kiessling, Dinka Mandaković, Juan C. Sáez, Pablo J. Sáez and C. Christian Johansson and has published in prestigious journals such as The Journal of Immunology, Clinical Cancer Research and Cancer Letters.

In The Last Decade

Marcos Ramírez

9 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Ramírez Chile 7 185 150 67 35 27 10 336
Chiara Cassioli Italy 12 153 0.8× 112 0.7× 54 0.8× 16 0.5× 10 0.4× 16 334
Srikanth Kodali United States 6 148 0.8× 127 0.8× 83 1.2× 15 0.4× 51 1.9× 10 314
Laure‐Hélène Ouisse France 13 258 1.4× 121 0.8× 68 1.0× 9 0.3× 7 0.3× 21 431
Byron C. Knowles United States 8 167 0.9× 49 0.3× 51 0.8× 16 0.5× 14 0.5× 11 355
Scott W. Messenger United States 9 220 1.2× 69 0.5× 50 0.7× 25 0.7× 101 3.7× 11 405
Ellen M. van Beek Netherlands 4 99 0.5× 364 2.4× 69 1.0× 9 0.3× 13 0.5× 5 448
Joy Armistead Germany 7 234 1.3× 39 0.3× 45 0.7× 9 0.3× 26 1.0× 10 325
Seigo Hatada United States 11 282 1.5× 32 0.2× 35 0.5× 7 0.2× 13 0.5× 19 371
Yapeng Gu United States 6 155 0.8× 82 0.5× 49 0.7× 5 0.1× 12 0.4× 6 350
Michael T. Peel United States 7 121 0.7× 60 0.4× 70 1.0× 4 0.1× 14 0.5× 11 270

Countries citing papers authored by Marcos Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Ramírez. 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 Marcos Ramírez. The network helps show where Marcos Ramírez may publish in the future.

Co-authorship network of co-authors of Marcos Ramírez

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

All Works

10 of 10 papers shown
1.
Torres, Ángelo, José Ignacio Erices, Fabiola A. Sánchez, et al.. (2019). Extracellular adenosine promotes cell migration/invasion of Glioblastoma Stem-like Cells through A3 Adenosine Receptor activation under hypoxia. Cancer Letters. 446. 112–122. 60 indexed citations
2.
Ramírez, Marcos, et al.. (2016). Desafíos en el diagnóstico de enfermedad de Creutzfeldt-Jakob: Caso clínico. Revista médica de Chile. 144(6). 796–806.
3.
González, Fermín E., Marcos Ramírez, Andreas Lundqvist, et al.. (2013). Melanocortin 1 Receptor-derived peptides are efficiently recognized by cytotoxic T lymphocytes from melanoma patients. Immunobiology. 219(3). 189–197. 6 indexed citations
4.
Tittarelli, Andrés, Fermín E. González, Marcos Ramírez, et al.. (2011). Heat-Shock Induction of Tumor-Derived Danger Signals Mediates Rapid Monocyte Differentiation into Clinically Effective Dendritic Cells. Clinical Cancer Research. 17(8). 2474–2483. 70 indexed citations
5.
Mendoza‐Naranjo, Ariadna, Gerben Bouma, Cristián Pereda, et al.. (2011). Functional Gap Junctions Accumulate at the Immunological Synapse and Contribute to T Cell Activation. The Journal of Immunology. 187(6). 3121–3132. 67 indexed citations
6.
Mendoza‐Naranjo, Ariadna, Pablo J. Sáez, C. Christian Johansson, et al.. (2007). Functional Gap Junctions Facilitate Melanoma Antigen Transfer and Cross-Presentation between Human Dendritic Cells. The Journal of Immunology. 178(11). 6949–6957. 88 indexed citations
7.
Braghetto, Italo, Attila Csendes, Eduardo Fernández, et al.. (2007). Tumores gastrointestinales estromales (GIST): Experiencia del Servicio de Cirugía del Hospital Clínico de la Universidad de Chile entre 1999 y 2005. Revista médica de Chile. 135(5). 551–7. 6 indexed citations
8.
López, Mercedes, Ariadna Mendoza‐Naranjo, Cristián Pereda, et al.. (2006). The role of regulatory T lymphocytes in the induced immune response mediated by biological vaccines. Immunobiology. 211(1-2). 127–136. 29 indexed citations
9.
10.

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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