Ruben Dries

6.8k total citations · 2 hit papers
25 papers, 2.5k citations indexed

About

Ruben Dries is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Biophysics. According to data from OpenAlex, Ruben Dries has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Biophysics. Recurrent topics in Ruben Dries's work include Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (4 papers) and Pluripotent Stem Cells Research (3 papers). Ruben Dries is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (4 papers) and Pluripotent Stem Cells Research (3 papers). Ruben Dries collaborates with scholars based in United States, Netherlands and Germany. Ruben Dries's co-authors include Guo‐Cheng Yuan, Qian Zhu, Long Cai, Noushin Koulena, Jina Yun, Yodai Takei, Christopher J. Cronin, Michael J. Lawson, Rani E. George and Nico Pierson and has published in prestigious journals such as Nature, Nature Communications and Nature Biotechnology.

In The Last Decade

Ruben Dries

23 papers receiving 2.4k citations

Hit Papers

Transcriptome-scale super-resolved imaging in tissues by ... 2019 2026 2021 2023 2019 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruben Dries United States 12 2.1k 413 373 323 319 25 2.5k
Fredrik Salmén Sweden 14 2.0k 0.9× 315 0.8× 438 1.2× 268 0.8× 524 1.6× 15 2.4k
Sanja Vicković Sweden 14 1.6k 0.7× 238 0.6× 348 0.9× 214 0.7× 381 1.2× 18 2.0k
Maren Büttner Germany 16 2.2k 1.0× 514 1.2× 489 1.3× 240 0.7× 422 1.3× 27 2.7k
Malte D. Luecken Germany 11 1.8k 0.8× 387 0.9× 435 1.2× 164 0.5× 394 1.2× 18 2.2k
Laleh Haghverdi Germany 9 2.5k 1.2× 557 1.3× 637 1.7× 250 0.8× 491 1.5× 14 3.1k
Robert R. Stickels United States 6 2.0k 0.9× 359 0.9× 438 1.2× 182 0.6× 367 1.2× 6 2.3k
Dalia Barkley United States 5 1.4k 0.6× 200 0.5× 435 1.2× 380 1.2× 453 1.4× 6 1.8k
Marius Lange Germany 7 1.5k 0.7× 213 0.5× 476 1.3× 232 0.7× 290 0.9× 11 2.0k
Volker Bergen Germany 6 1.4k 0.7× 197 0.5× 472 1.3× 230 0.7× 290 0.9× 9 2.0k
Marco Mignardi Sweden 11 1.4k 0.7× 187 0.5× 604 1.6× 249 0.8× 452 1.4× 17 2.2k

Countries citing papers authored by Ruben Dries

Since Specialization
Citations

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

Fields of papers citing papers by Ruben Dries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruben Dries

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Dries. A scholar is included among the top collaborators of Ruben Dries 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 Ruben Dries. Ruben Dries 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.
Chen, Jiaji G., Matthew O’Brien, Edward C. Ruiz, et al.. (2025). Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystem. Nature Methods. 22(10). 2052–2064.
2.
Reinecke, James B., Amanda J. Saraf, John Hinckley, et al.. (2025). Metastasis-Initiating Osteosarcoma Subpopulations Establish Paracrine Interactions with Lung and Tumor Cells to Create a Metastatic Niche. Cancer Research. 85(22). 4341–4358. 1 indexed citations
4.
Reinecke, James B., Amy C. Gross, Maren Cam, et al.. (2024). Aberrant Activation of Wound-Healing Programs within the Metastatic Niche Facilitates Lung Colonization by Osteosarcoma Cells. Clinical Cancer Research. 31(2). 414–429. 3 indexed citations
5.
Sokolov, Artem, Brian R. Herb, Heather H. Creasy, et al.. (2024). MAMS: matrix and analysis metadata standards to facilitate harmonization and reproducibility of single-cell data. Genome biology. 25(1). 205–205. 4 indexed citations
6.
Volegova, Marina P., Lauren E. Brown, Ruben Dries, et al.. (2024). The MYCN 5′ UTR as a therapeutic target in neuroblastoma. Cell Reports. 43(5). 114134–114134. 2 indexed citations
7.
Ikonomou, Laertis, Mattias Magnusson, Ruben Dries, et al.. (2022). Stem cells, cell therapies, and bioengineering in lung biology and disease 2021. American Journal of Physiology-Lung Cellular and Molecular Physiology. 323(3). L341–L354. 7 indexed citations
8.
Qiu, Yuhan, et al.. (2022). The crosstalk within the breast tumor microenvironment in type II diabetes: Implications for cancer disparities. Frontiers in Endocrinology. 13. 1044670–1044670. 9 indexed citations
9.
Vanuytsel, Kim, Carlos Villacorta-Martín, Jonathan Lindstrom-Vautrin, et al.. (2022). Multi-modal profiling of human fetal liver hematopoietic stem cells reveals the molecular signature of engraftment. Nature Communications. 13(1). 1103–1103. 22 indexed citations
10.
Jiang, Baishan, Yang Gao, Jianwei Che, et al.. (2021). Discovery and resistance mechanism of a selective CDK12 degrader. Nature Chemical Biology. 17(6). 675–683. 96 indexed citations
11.
Dries, Ruben, et al.. (2021). Advances in spatial transcriptomic data analysis. Genome Research. 31(10). 1706–1718. 130 indexed citations
12.
Dries, Ruben, Qian Zhu, Rui Dong, et al.. (2021). Giotto: a toolbox for integrative analysis and visualization of spatial expression data. Genome biology. 22(1). 78–78. 510 indexed citations breakdown →
13.
Stappers, Elke, Ruben Dries, Elise Peyre, et al.. (2020). Multifaceted actions of Zeb2 in postnatal neurogenesis from the ventricular-subventricular zone to the olfactory bulb. Development. 147(10). 6 indexed citations
14.
Krajewska, Małgorzata, Ruben Dries, Andrew V. Grassetti, et al.. (2019). CDK12 loss in cancer cells affects DNA damage response genes through premature cleavage and polyadenylation. Nature Communications. 10(1). 1757–1757. 181 indexed citations
15.
Tracy, Samuel, Guo‐Cheng Yuan, & Ruben Dries. (2019). RESCUE: imputing dropout events in single-cell RNA-sequencing data. BMC Bioinformatics. 20(1). 388–388. 30 indexed citations
16.
Lawson, Michael J., Qian Zhu, Ruben Dries, et al.. (2019). Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+. Nature. 568(7751). 235–239. 1092 indexed citations breakdown →
17.
Debruyne, David, Ruben Dries, Satyaki Sengupta, et al.. (2019). BORIS promotes chromatin regulatory interactions in treatment-resistant cancer cells. Nature. 572(7771). 676–680. 74 indexed citations
18.
Liu, Yan, Yuyang Li, Shengwu Liu, et al.. (2018). NK Cells Mediate Synergistic Antitumor Effects of Combined Inhibition of HDAC6 and BET in a SCLC Preclinical Model. Cancer Research. 78(13). 3709–3717. 40 indexed citations
19.
Zhu, Qian, Sheel Shah, Ruben Dries, Long Cai, & Guo‐Cheng Yuan. (2018). Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data. Nature Biotechnology. 36(12). 1183–1190. 151 indexed citations
20.
Dries, Ruben, Matthias S. Roost, Stefan Semrau, et al.. (2015). BMP-SMAD Signaling Regulates Lineage Priming, but Is Dispensable for Self-Renewal in Mouse Embryonic Stem Cells. Stem Cell Reports. 6(1). 85–94. 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026