Luis B. Barreiro

20.9k total citations · 5 hit papers
122 papers, 10.6k citations indexed

About

Luis B. Barreiro is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Luis B. Barreiro has authored 122 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Immunology, 53 papers in Molecular Biology and 20 papers in Infectious Diseases. Recurrent topics in Luis B. Barreiro's work include Immune responses and vaccinations (20 papers), Epigenetics and DNA Methylation (17 papers) and Immune Cell Function and Interaction (14 papers). Luis B. Barreiro is often cited by papers focused on Immune responses and vaccinations (20 papers), Epigenetics and DNA Methylation (17 papers) and Immune Cell Function and Interaction (14 papers). Luis B. Barreiro collaborates with scholars based in United States, Canada and France. Luis B. Barreiro's co-authors include Lluís Quintana‐Murci, Haley E. Randolph, Étienne Patin, Guillaume Laval, Maziar Divangahi, Jenny Tung, Yoav Gilad, Hélène Quach, Jean‐Christophe Grenier and Joaquín Sanz and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Luis B. Barreiro

120 papers receiving 10.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Defining trained immunity and its role in health and disease

2020 1.6k citations Mihai G. Netea, Jorge Domínguez‐Andrés et al. Nature reviews. Immunology profile →
BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis

2018 804 citations Eva Kaufmann, Joaquín Sanz et al. profile →
Herd Immunity: Understanding COVID-19

2020 753 citations Haley E. Randolph, Luis B. Barreiro profile →
Social networks predict gut microbiome composition in wild baboons

2015 355 citations Jenny Tung, Luis B. Barreiro et al. eLife profile →
Microbial transmission in the social microbiome and host health and disease

2024 50 citations Elizabeth A. Archie, Luis B. Barreiro et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luis B. Barreiro United States	49	4.2k	3.3k	2.2k	2.1k	1.3k	122	10.6k
Ofer Levy United States	56	6.1k 1.5×	2.2k 0.7×	1.7k 0.7×	673 0.3×	2.7k 2.0×	215	13.2k
Claude P. Muller Luxembourg	54	1.8k 0.4×	2.1k 0.6×	2.3k 1.0×	884 0.4×	4.7k 3.5×	402	10.9k
Joseph D. Miller United States	41	4.3k 1.0×	1.8k 0.5×	1.5k 0.7×	417 0.2×	1.2k 0.9×	81	9.1k
Katie L. Flanagan Australia	35	2.9k 0.7×	1.3k 0.4×	1.8k 0.8×	457 0.2×	1.5k 1.1×	135	7.9k
Bonnie B. Blomberg United States	54	3.8k 0.9×	1.4k 0.4×	815 0.4×	785 0.4×	1.8k 1.3×	176	8.3k
Sabra L. Klein United States	66	4.1k 1.0×	2.0k 0.6×	5.3k 2.4×	1.5k 0.7×	3.6k 2.7×	204	20.7k
Keith G. Mansfield United States	46	2.2k 0.5×	1.9k 0.6×	2.2k 1.0×	1.2k 0.6×	2.2k 1.6×	161	7.6k
Anthony D. Kelleher Australia	53	5.6k 1.3×	2.3k 0.7×	3.7k 1.7×	694 0.3×	2.2k 1.6×	278	13.5k
Robert Walker United States	48	1.9k 0.5×	1.6k 0.5×	2.2k 1.0×	890 0.4×	2.6k 2.0×	139	8.1k
Charles C. Berry United States	62	1.1k 0.3×	5.6k 1.7×	1.3k 0.6×	3.2k 1.5×	1.3k 1.0×	158	16.1k

Countries citing papers authored by Luis B. Barreiro

Since Specialization

Citations

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

Fields of papers citing papers by Luis B. Barreiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis B. Barreiro. 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 Luis B. Barreiro. The network helps show where Luis B. Barreiro may publish in the future.

Co-authorship network of co-authors of Luis B. Barreiro

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

All Works

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20 of 20 papers shown

Khan, Nargis, Kim A. Tran, Erwan Pernet, et al.. (2025). β-Glucan reprograms neutrophils to promote disease tolerance against influenza A virus. Nature Immunology. 26(2). 174–187. 17 indexed citations

Aguirre‐Gamboa, Raúl, et al.. (2025). Rewiring the bone marrow: Evolution and the transcriptional architecture of trained immunity. eLife. 14.

Roche, Kimberly, Johannes R. Björk, Mauna Dasari, et al.. (2023). Universal gut microbial relationships in the gut microbiome of wild baboons. eLife. 12. 12 indexed citations

Randolph, Haley E., Jessica K. Fiege, Beth K Thielen, et al.. (2021). Genetic ancestry effects on the response to viral infection are pervasive but cell type specific. Science. 374(6571). 1127–1133. 57 indexed citations

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

Das, Shibali, Nancy D. Marín, Ekaterina Esaulova, et al.. (2021). Lung Epithelial Signaling Mediates Early Vaccine-Induced CD4 ⁺ T Cell Activation and Mycobacterium tuberculosis Control. mBio. 12(4). e0146821–e0146821. 11 indexed citations

Barreiro, Luis B., et al.. (2020). Transposable elements have contributed human regulatory regions that are activated upon bacterial infection. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1795). 20190332–20190332. 21 indexed citations

Netea, Mihai G., Jorge Domínguez‐Andrés, Luis B. Barreiro, et al.. (2020). Defining trained immunity and its role in health and disease. Nature reviews. Immunology. 20(6). 375–388. 1595 indexed citations breakdown →

Debray, Reena, et al.. (2019). Social affiliation predicts mitochondrial DNA copy number in female rhesus macaques. Biology Letters. 15(1). 20180643–20180643. 6 indexed citations

10.

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

11.

Pacis, Alain, Ludovic Tailleux, Haley E. Randolph, et al.. (2019). Gene activation precedes DNA demethylation in response to infection in human dendritic cells. Proceedings of the National Academy of Sciences. 116(14). 6938–6943. 98 indexed citations

12.

Bergey, Christina M., Marie Lopez, Genelle F. Harrison, et al.. (2018). Polygenic adaptation and convergent evolution on growth and cardiac genetic pathways in African and Asian rainforest hunter-gatherers. Proceedings of the National Academy of Sciences. 115(48). E11256–E11263. 29 indexed citations

13.

Lea, Amanda J., Christopher M. Vockley, Rachel A. Johnston, et al.. (2018). Genome-wide quantification of the effects of DNA methylation on human gene regulation. eLife. 7. 85 indexed citations

14.

Gross, Jeferson, et al.. (2017). Gene-body 5-hydroxymethylation is associated with gene expression changes in the prefrontal cortex of depressed individuals. Translational Psychiatry. 7(5). e1119–e1119. 48 indexed citations

15.

Richards, Allison L., Michael B. Burns, Adnan Alazizi, et al.. (2016). Genetic and Transcriptional Analysis of Human Host Response to Healthy Gut Microbiota. mSystems. 1(4). 35 indexed citations

16.

Tung, Jenny, Luis B. Barreiro, Michael B. Burns, et al.. (2015). Social networks predict gut microbiome composition in wild baboons. eLife. 4. 355 indexed citations breakdown →

17.

Siddle, Katherine J., Ludovic Tailleux, Matthieu Deschamps, et al.. (2015). Bacterial Infection Drives the Expression Dynamics of microRNAs and Their isomiRs. PLoS Genetics. 11(3). e1005064–e1005064. 48 indexed citations

18.

Tung, Jenny, Luis B. Barreiro, Zachary P. Johnson, et al.. (2012). Social environment is associated with gene regulatory variation in the rhesus macaque immune system. Proceedings of the National Academy of Sciences. 109(17). 6490–6495. 203 indexed citations

19.

Barreiro, Luis B., Guillaume Laval, Hélène Quach, Étienne Patin, & Lluís Quintana‐Murci. (2008). Natural selection has driven population differentiation in modern humans. Nature Genetics. 40(3). 340–345. 428 indexed citations

20.

Ben‐Ali, Meriem, Luis B. Barreiro, A. Chabbou, et al.. (2007). Promoter and neck region length variation of DC-SIGN is not associated with susceptibility to tuberculosis in Tunisian patients. Human Immunology. 68(11). 908–912. 31 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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