Ramiro A. Ramirez-Valdez

879 total citations · 1 hit paper
7 papers, 397 citations indexed

About

Ramiro A. Ramirez-Valdez is a scholar working on Immunology, Oncology and Virology. According to data from OpenAlex, Ramiro A. Ramirez-Valdez has authored 7 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 1 paper in Virology. Recurrent topics in Ramiro A. Ramirez-Valdez's work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Ramiro A. Ramirez-Valdez is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Ramiro A. Ramirez-Valdez collaborates with scholars based in United Kingdom, United States and France. Ramiro A. Ramirez-Valdez's co-authors include Geoffrey M. Lynn, Faezzah Baharom, Robert A. Seder, Andrew S. Ishizuka, Ahad Khalilnezhad, Florent Ginhoux, Charles‐Antoine Dutertre, Dalton Hermans, Sloane Christian Fussell and Shabnam Khalilnezhad and has published in prestigious journals such as Cell, Nature Immunology and PLoS Biology.

In The Last Decade

Ramiro A. Ramirez-Valdez

6 papers receiving 392 citations

Hit Papers

Systemic vaccination induces CD8+ T cells and remodels th... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramiro A. Ramirez-Valdez United Kingdom 6 293 186 163 63 25 7 397
Cornelia Wurzenberger Germany 9 305 1.0× 150 0.8× 126 0.8× 38 0.6× 19 0.8× 11 429
Mingna Zhang China 5 196 0.7× 197 1.1× 166 1.0× 56 0.9× 24 1.0× 8 405
Christopher Schliehe Netherlands 11 217 0.7× 189 1.0× 97 0.6× 41 0.7× 21 0.8× 13 378
Max E. Jacobson United States 8 240 0.8× 252 1.4× 69 0.4× 62 1.0× 36 1.4× 9 412
Rana Falahat United States 8 296 1.0× 162 0.9× 143 0.9× 31 0.5× 24 1.0× 19 419
Hiep Khong United States 7 375 1.3× 156 0.8× 232 1.4× 39 0.6× 10 0.4× 11 448
Fengzhen Mo China 15 223 0.8× 217 1.2× 228 1.4× 125 2.0× 50 2.0× 22 490
Kyle M. Garland United States 6 345 1.2× 192 1.0× 93 0.6× 90 1.4× 26 1.0× 7 437
Xiaoqiong Hou China 12 189 0.6× 166 0.9× 188 1.2× 109 1.7× 48 1.9× 18 391
Elena Tondini Netherlands 10 226 0.8× 152 0.8× 93 0.6× 25 0.4× 21 0.8× 12 308

Countries citing papers authored by Ramiro A. Ramirez-Valdez

Since Specialization
Citations

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

Fields of papers citing papers by Ramiro A. Ramirez-Valdez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramiro A. Ramirez-Valdez. 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 Ramiro A. Ramirez-Valdez. The network helps show where Ramiro A. Ramirez-Valdez may publish in the future.

Co-authorship network of co-authors of Ramiro A. Ramirez-Valdez

This figure shows the co-authorship network connecting the top 25 collaborators of Ramiro A. Ramirez-Valdez. A scholar is included among the top collaborators of Ramiro A. Ramirez-Valdez 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 Ramiro A. Ramirez-Valdez. Ramiro A. Ramirez-Valdez 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.
Panetti, Silvia, Ramiro A. Ramirez-Valdez, Vineethkrishna Chandrasekar, et al.. (2024). Novel H-2Db-restricted CD8 epitope derived from mouse MAGE-type antigen P1A mediates antitumor immunity in C57BL/6 mice. Journal for ImmunoTherapy of Cancer. 12(10). e008998–e008998.
2.
Ramirez-Valdez, Ramiro A., Faezzah Baharom, Ahad Khalilnezhad, et al.. (2023). Intravenous heterologous prime-boost vaccination activates innate and adaptive immunity to promote tumor regression. Cell Reports. 42(6). 112599–112599. 16 indexed citations
3.
Baharom, Faezzah, Ramiro A. Ramirez-Valdez, Ahad Khalilnezhad, et al.. (2022). Systemic vaccination induces CD8+ T cells and remodels the tumor microenvironment. Cell. 185(23). 4317–4332.e15. 142 indexed citations breakdown →
4.
Ramirez-Valdez, Ramiro A., Emily Pollock, Federica Cappuccini, et al.. (2021). Heterologous prime-boost vaccination targeting MAGE-type antigens promotes tumor T-cell infiltration and improves checkpoint blockade therapy. Journal for ImmunoTherapy of Cancer. 9(9). e003218–e003218. 16 indexed citations
5.
Baharom, Faezzah, Ramiro A. Ramirez-Valdez, Hidehiro Yamane, et al.. (2020). Intravenous nanoparticle vaccination generates stem-like TCF1+ neoantigen-specific CD8+ T cells. Nature Immunology. 22(1). 41–52. 157 indexed citations
6.
Francica, Joseph R., Richard Laga, Geoffrey M. Lynn, et al.. (2019). Star nanoparticles delivering HIV-1 peptide minimal immunogens elicit near-native envelope antibody responses in nonhuman primates. PLoS Biology. 17(6). e3000328–e3000328. 32 indexed citations
7.
Lynn, Geoffrey M., Petr Chytil, Joseph R. Francica, et al.. (2019). Impact of Polymer-TLR-7/8 Agonist (Adjuvant) Morphology on the Potency and Mechanism of CD8 T Cell Induction. Biomacromolecules. 20(2). 854–870. 34 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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