Guido van Mierlo

2.0k total citations
28 papers, 1.1k citations indexed

About

Guido van Mierlo is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Guido van Mierlo has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Guido van Mierlo's work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (8 papers) and CRISPR and Genetic Engineering (7 papers). Guido van Mierlo is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (8 papers) and CRISPR and Genetic Engineering (7 papers). Guido van Mierlo collaborates with scholars based in Netherlands, Switzerland and France. Guido van Mierlo's co-authors include Michiel Vermeulen, Hendrik Marks, Gert Jan C. Veenstra, Simon J. van Heeringen, Matteo Perino, Marijke Baltissen, Ino D. Karemaker, Jie Wang, Ina Poser and Jérôme Déjardin and has published in prestigious journals such as Nature Communications, Nature Genetics and Molecular Cell.

In The Last Decade

Guido van Mierlo

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guido van Mierlo Netherlands	14	950	184	82	78	65	28	1.1k
Christiana Spyrou United Kingdom	8	680 0.7×	218 1.2×	88 1.1×	97 1.2×	44 0.7×	8	809
Ding-Yen Lin Taiwan	11	702 0.7×	138 0.8×	115 1.4×	170 2.2×	60 0.9×	15	854
Paola Costanzo Italy	17	597 0.6×	89 0.5×	71 0.9×	74 0.9×	30 0.5×	35	782
Minghong Ward United States	4	449 0.5×	224 1.2×	115 1.4×	54 0.7×	33 0.5×	5	711
Keun‐Cheol Kim South Korea	16	569 0.6×	85 0.5×	104 1.3×	113 1.4×	38 0.6×	38	784
Maria Shvedunova Germany	9	728 0.8×	55 0.3×	114 1.4×	95 1.2×	39 0.6×	12	945
Arumugam Rajavelu India	21	1.5k 1.5×	363 2.0×	113 1.4×	51 0.7×	38 0.6×	41	1.7k
Olga Kel‐Margoulis Germany	19	863 0.9×	154 0.8×	107 1.3×	118 1.5×	28 0.4×	30	1.1k
Sadeq Vallian Iran	15	651 0.7×	151 0.8×	85 1.0×	124 1.6×	24 0.4×	66	905

Countries citing papers authored by Guido van Mierlo

Since Specialization

Citations

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

Fields of papers citing papers by Guido van Mierlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guido van Mierlo. 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 Guido van Mierlo. The network helps show where Guido van Mierlo may publish in the future.

Co-authorship network of co-authors of Guido van Mierlo

This figure shows the co-authorship network connecting the top 25 collaborators of Guido van Mierlo. A scholar is included among the top collaborators of Guido van Mierlo 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 Guido van Mierlo. Guido van Mierlo 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

Mierlo, Guido van, et al.. (2025). Engineering next-generation microfluidic technologies for single-cell phenomics. Nature Genetics. 57(6). 1344–1356. 1 indexed citations

Liu, Wangjie, Wouter Saelens, Pernille Yde Rainer, et al.. (2025). Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq. Nature Genetics. 57(10). 2522–2535.

Stelloo, Suzan, Daniel V. Bax, Marijke Baltissen, et al.. (2025). PRC1 and PRC2 proximal interactome in mouse embryonic stem cells. Cell Reports. 44(3). 115362–115362. 2 indexed citations

Mierlo, Guido van, et al.. (2024). Non-coding variants impact cis-regulatory coordination in a cell type-specific manner. Genome biology. 25(1). 190–190. 2 indexed citations

Mierlo, Guido van, et al.. (2024). The evolution of DNA sequencing with microfluidics. Nature Reviews Genetics. 26(1). 1–2. 1 indexed citations

Kribelbauer, Judith F., et al.. (2024). Context transcription factors establish cooperative environments and mediate enhancer communication. Nature Genetics. 56(10). 2199–2212. 4 indexed citations

Rainer, Pernille Yde, Julie Russeil, Magda Zachara, et al.. (2024). A human omentum-specific mesothelial-like stromal population inhibits adipogenesis through IGFBP2 secretion. Cell Metabolism. 36(7). 1566–1585.e9. 9 indexed citations

Mierlo, Guido van, et al.. (2022). Chromatin modules and their implication in genomic organization and gene regulation. Trends in Genetics. 39(2). 140–153. 14 indexed citations

Pezoldt, Joern, Mangge Zou, Maria Litovchenko, et al.. (2022). Postnatal expansion of mesenteric lymph node stromal cells towards reticular and CD34+ stromal cell subsets. Nature Communications. 13(1). 7227–7227. 8 indexed citations

10.

Mierlo, Guido van, et al.. (2021). Predicting protein condensate formation using machine learning. Cell Reports. 34(5). 108705–108705. 70 indexed citations

11.

Mierlo, Guido van, et al.. (2021). Off-the-shelf proximity biotinylation for interaction proteomics. Nature Communications. 12(1). 5015–5015. 41 indexed citations

12.

Huurne, Menno ter, Tianran Peng, Guoqiang Yi, et al.. (2020). Critical Role for P53 in Regulating the Cell Cycle of Ground State Embryonic Stem Cells. Stem Cell Reports. 14(2). 175–183. 23 indexed citations

13.

Mierlo, Guido van & Michiel Vermeulen. (2020). Chromatin Proteomics to Study Epigenetics — Challenges and Opportunities. Molecular & Cellular Proteomics. 20. 100056–100056. 15 indexed citations

14.

Mierlo, Guido van, et al.. (2020). Purification and enrichment of specific chromatin loci. Nature Methods. 17(4). 380–389. 26 indexed citations

15.

Perino, Matteo, et al.. (2020). Two Functional Axes of Feedback-Enforced PRC2 Recruitment in Mouse Embryonic Stem Cells. Stem Cell Reports. 15(6). 1287–1300. 16 indexed citations

16.

Mierlo, Guido van, Gert Jan C. Veenstra, Michiel Vermeulen, & Hendrik Marks. (2019). The Complexity of PRC2 Subcomplexes. Trends in Cell Biology. 29(8). 660–671. 162 indexed citations

17.

Healy, Evan, Marlena Mucha, Eleanor Glancy, et al.. (2019). PRC2.1 and PRC2.2 Synergize to Coordinate H3K27 Trimethylation. Molecular Cell. 76(3). 437–452.e6. 125 indexed citations

18.

Mierlo, Guido van, René A. M. Dirks, Laura De Clerck, et al.. (2018). Integrative Proteomic Profiling Reveals PRC2-Dependent Epigenetic Crosstalk Maintains Ground-State Pluripotency. Cell stem cell. 24(1). 123–137.e8. 87 indexed citations

19.

Mierlo, Guido van, et al.. (2018). Quantitative subcellular proteomics using SILAC reveals enhanced metabolic buffering in the pluripotent ground state. Stem Cell Research. 33. 135–145. 7 indexed citations

20.

Marks, Harold G., Hindrik H. D. Kerstens, Erik Splinter, et al.. (2016). Dynamics of gene silencing during X inactivation using allele-specific RNA-seq (vol 16, 149, 2015). Genome biology. 17. 2–3. 11 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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