Joaquín Sanz

3.3k total citations · 1 hit paper
28 papers, 2.1k citations indexed

About

Joaquín Sanz is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Joaquín Sanz has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Joaquín Sanz's work include Tuberculosis Research and Epidemiology (9 papers), COVID-19 epidemiological studies (5 papers) and Immune responses and vaccinations (5 papers). Joaquín Sanz is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), COVID-19 epidemiological studies (5 papers) and Immune responses and vaccinations (5 papers). Joaquín Sanz collaborates with scholars based in Spain, Canada and United States. Joaquín Sanz's co-authors include Luis B. Barreiro, Jean‐Christophe Grenier, Alain Pacis, Anne Dumaine, Yamir Moreno, Maziar Divangahi, Eva Kaufmann, Nargis Khan, Erwan Pernet and Bruce Mazer and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Joaquín Sanz

28 papers receiving 2.1k citations

Hit Papers

BCG Educates Hematopoietic Stem Cells to Generate Protect... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquín Sanz Spain 17 1.2k 505 477 334 189 28 2.1k
Alain Pacis Canada 16 1.1k 0.9× 641 1.3× 361 0.8× 329 1.0× 137 0.7× 36 1.9k
Anne Dumaine France 18 1.0k 0.9× 621 1.2× 311 0.7× 425 1.3× 213 1.1× 25 2.0k
Jean‐Christophe Grenier Canada 28 1.1k 0.9× 1.6k 3.1× 431 0.9× 582 1.7× 267 1.4× 68 3.8k
Peter Lopez United States 24 975 0.8× 826 1.6× 291 0.6× 152 0.5× 305 1.6× 51 2.7k
Thomas Pradeu France 25 618 0.5× 551 1.1× 132 0.3× 213 0.6× 102 0.5× 68 2.1k
Andrew J. Yates United States 29 1.4k 1.2× 462 0.9× 236 0.5× 365 1.1× 278 1.5× 82 2.5k
Jia Xue China 24 792 0.7× 763 1.5× 266 0.6× 136 0.4× 580 3.1× 57 2.1k
Ruth Watkinson United Kingdom 17 530 0.5× 362 0.7× 247 0.5× 118 0.4× 317 1.7× 26 1.2k
Bonnie J. Mathieson United States 36 2.4k 2.1× 1.0k 2.0× 722 1.5× 545 1.6× 522 2.8× 87 4.6k
William Henry Hudson United States 26 881 0.8× 1.1k 2.1× 562 1.2× 352 1.1× 255 1.3× 67 2.9k

Countries citing papers authored by Joaquín Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquín Sanz

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

All Works

20 of 20 papers shown
1.
Aguirre‐Gamboa, Raúl, L. Charlotte J. de Bree, Joaquín Sanz, et al.. (2024). BCG vaccination alters the epigenetic landscape of progenitor cells in human bone marrow to influence innate immune responses. Immunity. 57(9). 2095–2107.e8. 29 indexed citations
2.
Moreno, Yamir, et al.. (2023). Addressing mechanism bias in model-based impact forecasts of new tuberculosis vaccines. Nature Communications. 14(1). 5–7. 5 indexed citations
3.
Pernet, Erwan, Nargis Khan, Joaquín Sanz, et al.. (2023). Human alveolar macrophage metabolism is compromised during Mycobacterium tuberculosis infection. Frontiers in Immunology. 13. 1044592–1044592. 22 indexed citations
4.
Vázquez, Lucía, et al.. (2022). Iron deprivation enhances transcriptional responses to in vitro growth arrest of Mycobacterium tuberculosis. Frontiers in Microbiology. 13. 956602–956602. 6 indexed citations
5.
Aleta, Alberto, et al.. (2022). Modeling the impact of COVID-19 on future tuberculosis burden. SHILAP Revista de lepidopterología. 2(1). 77–77. 16 indexed citations
6.
Hawash, Mohamed B. F., Joaquín Sanz, Jean‐Christophe Grenier, et al.. (2021). Primate innate immune responses to bacterial and viral pathogens reveals an evolutionary trade-off between strength and specificity. Proceedings of the National Academy of Sciences. 118(13). 35 indexed citations
7.
Khan, Nargis, Jeffrey Downey, Joaquín Sanz, et al.. (2020). M. tuberculosis Reprograms Hematopoietic Stem Cells to Limit Myelopoiesis and Impair Trained Immunity. Cell. 183(3). 752–770.e22. 179 indexed citations
8.
Sanz, Joaquín, Paul L. Maurizio, Noah Snyder‐Mackler, et al.. (2019). Social history and exposure to pathogen signals modulate social status effects on gene regulation in rhesus macaques. Proceedings of the National Academy of Sciences. 117(38). 23317–23322. 25 indexed citations
9.
Marinova, Dessislava, et al.. (2019). Bridging the gap between efficacy trials and model-based impact evaluation for new tuberculosis vaccines. Nature Communications. 10(1). 5457–5457. 3 indexed citations
10.
Harrison, Genelle F., Joaquín Sanz, Jonathan Boulais, et al.. (2019). Natural selection contributed to immunological differences between hunter-gatherers and agriculturalists. Nature Ecology & Evolution. 3(8). 1253–1264. 22 indexed citations
11.
Houben, Rein M G J, Hanif Esmail, Jon C. Emery, et al.. (2019). Spotting the old foe—revisiting the case definition for TB. The Lancet Respiratory Medicine. 7(3). 199–201. 13 indexed citations
12.
Iglesias, María José, Sofía Samper, Dessislava Marinova, et al.. (2018). Data-driven model for the assessment of Mycobacterium tuberculosis transmission in evolving demographic structures. Proceedings of the National Academy of Sciences. 115(14). 26 indexed citations
13.
Sanz, Joaquín, Haley E. Randolph, & Luis B. Barreiro. (2018). Genetic and evolutionary determinants of human population variation in immune responses. Current Opinion in Genetics & Development. 53. 28–35. 22 indexed citations
14.
Kaufmann, Eva, Joaquín Sanz, Nargis Khan, et al.. (2018). BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis. Cell. 172(1-2). 176–190.e19. 804 indexed citations breakdown →
15.
Nédélec, Yohann, Joaquín Sanz, Golshid Baharian, et al.. (2016). Genetic Ancestry and Natural Selection Drive Population Differences in Immune Responses to Pathogens. Cell. 167(3). 657–669.e21. 304 indexed citations
16.
Sanz, Joaquín, et al.. (2016). On the impact of masking and blocking hypotheses for measuring the efficacy of new tuberculosis vaccines. PeerJ. 4. e1513–e1513. 14 indexed citations
17.
Sanz, Joaquín, et al.. (2013). Prospección de playas de anidación de tortugas marinas en la región de Casamance (Senegal). Resultados y recomendaciones de gestión. Boletín de la Asociación Herpetológica Española. 24(1). 87–95. 1 indexed citations
18.
Xia, Chengyi, Zhen Wang, Joaquín Sanz, Sandro Meloni, & Yamir Moreno. (2012). Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks. Physica A Statistical Mechanics and its Applications. 392(7). 1577–1585. 99 indexed citations
19.
Sanz, Joaquín, Jorge Navarro, Ainhoa Arbués, et al.. (2011). The Transcriptional Regulatory Network of Mycobacterium tuberculosis. PLoS ONE. 6(7). e22178–e22178. 46 indexed citations
20.
Sanz, Joaquín, L. M. Florı́a, & Yamir Moreno. (2010). Spreading of persistent infections in heterogeneous populations. Physical Review E. 81(5). 56108–56108. 17 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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