Ariel Madrigal

2.2k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Ariel Madrigal is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Ariel Madrigal has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ariel Madrigal's work include Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (5 papers) and T-cell and B-cell Immunology (4 papers). Ariel Madrigal is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (5 papers) and T-cell and B-cell Immunology (4 papers). Ariel Madrigal collaborates with scholars based in United States, United Kingdom and Canada. Ariel Madrigal's co-authors include Pandurangan Vijayanand, Grégory Seumois, Benjamin Joachim Schmiedel, Bjoern Peters, Mitchell Kronenberg, Jason Greenbaum, Jose Zapardiel‐Gonzalo, Brendan Ha, Brandie White and Graham McVicker and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ariel Madrigal

17 papers receiving 1.1k citations

Hit Papers

Impact of Genetic Polymorphisms on Human Immune Cell Gene... 2018 2026 2020 2023 2018 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
Ariel Madrigal United States 9 626 430 211 161 93 17 1.1k
Wolfgang Schuh Germany 20 677 1.1× 423 1.0× 157 0.7× 107 0.7× 39 0.4× 45 1.2k
Shahram Kordasti United Kingdom 19 823 1.3× 310 0.7× 258 1.2× 98 0.6× 83 0.9× 76 1.6k
Roger Colobrán Spain 20 552 0.9× 231 0.5× 167 0.8× 281 1.7× 63 0.7× 67 1.0k
Rachael Bashford-Rogers United Kingdom 19 540 0.9× 393 0.9× 235 1.1× 65 0.4× 78 0.8× 37 1.1k
Daniel Rodríguez‐Pinto United States 11 519 0.8× 208 0.5× 117 0.6× 279 1.7× 49 0.5× 12 988
Alexandre Bolze United States 10 389 0.6× 364 0.8× 177 0.8× 422 2.6× 118 1.3× 20 1.1k
Susan Price United States 18 606 1.0× 564 1.3× 199 0.9× 559 3.5× 72 0.8× 44 1.4k
Brigitte Kasper Germany 15 574 0.9× 173 0.4× 272 1.3× 183 1.1× 148 1.6× 22 1.0k
Qinglin Ou United States 12 414 0.7× 389 0.9× 114 0.5× 195 1.2× 82 0.9× 14 1.0k
Benjamin Joachim Schmiedel Germany 21 995 1.6× 603 1.4× 488 2.3× 184 1.1× 91 1.0× 44 1.7k

Countries citing papers authored by Ariel Madrigal

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Madrigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Madrigal

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

All Works

17 of 17 papers shown
1.
Burban, Audrey, Ahmad Sharanek, Ariel Madrigal, et al.. (2024). PHF6-mediated transcriptional control of NSC via Ephrin receptors is impaired in the intellectual disability syndrome BFLS. EMBO Reports. 25(3). 1256–1281. 2 indexed citations
2.
Madrigal, Ariel, et al.. (2024). A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell data. Nature Communications. 15(1). 6573–6573. 1 indexed citations
3.
Kim, Minjun, Ariel Madrigal, Simon Tanguay, et al.. (2023). Abstract A012: Investigating the heterogeneity and clinical significance of tumor-associated macrophages in renal cell carcinoma milieu. Cancer Research. 83(16_Supplement). A012–A012. 1 indexed citations
4.
Schmiedel, Benjamin Joachim, Vicente Fajardo, Ariel Madrigal, et al.. (2022). Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants. Science Immunology. 7(68). eabm2508–eabm2508. 38 indexed citations
5.
Madrigal, Ariel, et al.. (2022). A4 HELMINTH-DERIVED METABOLITES INDUCE A TOLEROGENIC PROFILE IN DENDRITIC CELLS AND ALLEVIATE EXPERIMENTAL COLITIS. Journal of the Canadian Association of Gastroenterology. 5(Supplement_1). 5–6. 1 indexed citations
6.
Schmiedel, Benjamin Joachim, Sourya Bhattacharyya, Ariel Madrigal, et al.. (2021). COVID-19 genetic risk variants are associated with expression of multiple genes in diverse immune cell types. Nature Communications. 12(1). 6760–6760. 40 indexed citations
7.
Eschweiler, Simon, James Clarke, Ciro Ramírez-Suástegui, et al.. (2021). Intratumoral follicular regulatory T cells curtail anti-PD-1 treatment efficacy. Nature Immunology. 22(8). 1052–1063. 78 indexed citations
8.
Sharanek, Ahmad, Audrey Burban, Ariel Madrigal, et al.. (2021). Transcriptional control of brain tumor stem cells by a carbohydrate binding protein. Cell Reports. 36(9). 109647–109647. 20 indexed citations
9.
Chandra, Vivek, Sourya Bhattacharyya, Benjamin Joachim Schmiedel, et al.. (2020). Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants. Nature Genetics. 53(1). 110–119. 71 indexed citations
10.
Eschweiler, Simon, James Clarke, Bharat Panwar, et al.. (2020). T <sub>FR</sub> Cells Inhibit Anti-Tumor Immunity and are Responsive to Immune Checkpoint Blockade. SSRN Electronic Journal. 1 indexed citations
11.
Chandra, Vivek, Sourya Bhattacharyya, Benjamin Joachim Schmiedel, et al.. (2019). Promoter-Interacting Expression Quantitative Trait Loci (pieQTLs) in Human Immune Cell Types. SSRN Electronic Journal. 2 indexed citations
12.
Schmiedel, Benjamin Joachim, Divya Singh, Ariel Madrigal, et al.. (2019). Impact of genetic polymorphisms on human immune cell gene expression. The Journal of Immunology. 202(1_Supplement). 182.27–182.27. 5 indexed citations
13.
Ha, Brendan, Jason Greenbaum, Divya Singh, et al.. (2019). Database of Immune Cell EQTLs, Expression, Epigenomics. The Journal of Immunology. 202(1_Supplement). 131.18–131.18. 5 indexed citations
14.
Schmiedel, Benjamin Joachim, Divya Singh, Ariel Madrigal, et al.. (2018). Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression. Cell. 175(6). 1701–1715.e16. 478 indexed citations breakdown →
15.
Zhu, Yanfang Peipei, Lindsey E. Padgett, Huy Q. Dinh, et al.. (2018). Identification of an Early Unipotent Neutrophil Progenitor with Pro-tumoral Activity in Mouse and Human Bone Marrow. Cell Reports. 24(9). 2329–2341.e8. 151 indexed citations
16.
Patil, Veena S., Ariel Madrigal, Benjamin Joachim Schmiedel, et al.. (2018). Precursors of human CD4 + cytotoxic T lymphocytes identified by single-cell transcriptome analysis. Science Immunology. 3(19). 157 indexed citations
17.
Austin, Penelope, J. G. Bodmer, Walter F. Bodmer, et al.. (1986). Monoclonal antibodies to HLA-DP-transfected mouse L cells.. Proceedings of the National Academy of Sciences. 83(10). 3417–3421. 40 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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