Erick Armingol

1.8k total citations · 2 hit papers
11 papers, 972 citations indexed

About

Erick Armingol is a scholar working on Molecular Biology, Biomedical Engineering and Aging. According to data from OpenAlex, Erick Armingol has authored 11 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Aging. Recurrent topics in Erick Armingol's work include Single-cell and spatial transcriptomics (6 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Erick Armingol is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene Regulatory Network Analysis (5 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Erick Armingol collaborates with scholars based in United States, Chile and Germany. Erick Armingol's co-authors include Nathan E. Lewis, Olivier Harismendy, Adam Officer, Hratch Baghdassarian, Cameron Martino, Eyleen J. O’Rourke, Rob Knight, Araceli Pérez-López, Louis Gevirtzman and Chau Huynh and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Erick Armingol

11 papers receiving 964 citations

Hit Papers

Deciphering cell–cell interactions and communication from... 2020 2026 2022 2024 2020 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erick Armingol United States 7 696 187 142 130 103 11 972
Adam Officer United States 9 679 1.0× 277 1.5× 102 0.7× 105 0.8× 114 1.1× 17 1.1k
Namit Kumar United States 13 858 1.2× 226 1.2× 110 0.8× 131 1.0× 196 1.9× 17 1.2k
Tonny Lagerweij Netherlands 20 456 0.7× 142 0.8× 103 0.7× 112 0.9× 129 1.3× 33 981
Stefanie Engler Switzerland 10 560 0.8× 201 1.1× 171 1.2× 62 0.5× 122 1.2× 15 973
Longqi Liu China 17 1.1k 1.6× 174 0.9× 77 0.5× 122 0.9× 286 2.8× 59 1.4k
Lenka Maliskova United States 7 960 1.4× 162 0.9× 92 0.6× 55 0.4× 143 1.4× 11 1.2k
Sopheak Sim United States 7 1.1k 1.6× 116 0.6× 90 0.6× 131 1.0× 236 2.3× 10 1.4k
Felice-Alessio Bava United States 11 1.5k 2.2× 232 1.2× 270 1.9× 164 1.3× 241 2.3× 13 1.8k
Leon Anavy Israel 10 839 1.2× 170 0.9× 72 0.5× 57 0.4× 176 1.7× 16 1.1k
Andrew L. Ji United States 8 986 1.4× 282 1.5× 117 0.8× 65 0.5× 250 2.4× 15 1.3k

Countries citing papers authored by Erick Armingol

Since Specialization
Citations

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

Fields of papers citing papers by Erick Armingol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erick Armingol

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

All Works

11 of 11 papers shown
1.
Rojas, Leticia, Min Liu, Jane Yang, et al.. (2025). Single Cell Sequencing Identifies Distinct Cellular Alterations in Impaired Aged and Diabetic Wounds. Aging Cell. 24(12). e70217–e70217. 1 indexed citations
2.
Agirre, Eneritz, Fani Memi, Erick Armingol, et al.. (2025). Quantitative characterization of cell niches in spatially resolved omics data. Nature Genetics. 57(4). 897–909. 11 indexed citations
3.
Baghdassarian, Hratch, Daniel Dimitrov, Erick Armingol, Julio Sáez-Rodríguez, & Nathan E. Lewis. (2024). Combining LIANA and Tensor-cell2cell to decipher cell-cell communication across multiple samples. Cell Reports Methods. 4(4). 100758–100758. 6 indexed citations
4.
Armingol, Erick, Hratch Baghdassarian, & Nathan E. Lewis. (2024). The diversification of methods for studying cell–cell interactions and communication. Nature Reviews Genetics. 25(6). 381–400. 67 indexed citations breakdown →
5.
Armingol, Erick, Chau Huynh, Louis Gevirtzman, et al.. (2023). Whole-body gene expression atlas of an adult metazoan. Science Advances. 9(25). eadg0506–eadg0506. 35 indexed citations
6.
Armingol, Erick, Chintan Joshi, Hratch Baghdassarian, et al.. (2022). Inferring a spatial code of cell-cell interactions across a whole animal body. PLoS Computational Biology. 18(11). e1010715–e1010715. 39 indexed citations
7.
Armingol, Erick, Hratch Baghdassarian, Cameron Martino, et al.. (2022). Context-aware deconvolution of cell–cell communication with Tensor-cell2cell. Nature Communications. 13(1). 3665–3665. 57 indexed citations
8.
Armingol, Erick, Chau Huynh, Louis Gevirtzman, et al.. (2022). Whole-body gene expression atlas of an adult metazoan. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Armingol, Erick, et al.. (2022). An improved algorithm for flux variability analysis. BMC Bioinformatics. 23(1). 550–550. 2 indexed citations
10.
Armingol, Erick, Adam Officer, Olivier Harismendy, & Nathan E. Lewis. (2020). Deciphering cell–cell interactions and communication from gene expression. Nature Reviews Genetics. 22(2). 71–88. 742 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026