Matteo Boretto

1.6k total citations · 1 hit paper
13 papers, 774 citations indexed

About

Matteo Boretto is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Matteo Boretto has authored 13 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Matteo Boretto's work include Reproductive System and Pregnancy (4 papers), Cancer Cells and Metastasis (3 papers) and Pluripotent Stem Cells Research (2 papers). Matteo Boretto is often cited by papers focused on Reproductive System and Pregnancy (4 papers), Cancer Cells and Metastasis (3 papers) and Pluripotent Stem Cells Research (2 papers). Matteo Boretto collaborates with scholars based in Belgium, Netherlands and United States. Matteo Boretto's co-authors include Hugo Vankelecom, Benoit Cox, D. Timmerman, Heleen Roose, Carla Tomassetti, Christel Meuleman, Arne Vanhie, Hans Clevers, Frédéric Amant and Marc Ferrante and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Matteo Boretto

13 papers receiving 766 citations

Hit Papers

align trajectories

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.

Development of organoids from mouse and human endometrium showing endometrial epithelium physiology and long-term expandability

2017 304 citations Matteo Boretto, Benoit Cox et al. Development profile →

Peers

Countries citing papers authored by Matteo Boretto

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Boretto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Boretto

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

All Works

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13 of 13 papers shown

#	Title	Journal	Authors	Indexed citations
1	Epidermal growth factor receptor (EGFR) is a target of the tumor-suppressor E3 ligase FBXW7	Proceedings of the National Academy of Sciences	Matteo Boretto, Maarten H. Geurts et al.	9
2	Recapitulating the adenoma–carcinoma sequence by selection of four spontaneous oncogenic mutations in mismatch-repair-deficient human colon organoids	Nature Cancer	Tomohiro Mizutani, Matteo Boretto et al.	7
3	One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids	Nature Communications	Maarten H. Geurts, Shashank Gandhi et al.	32
4	Evaluating CRISPR-based prime editing for cancer modeling and CFTR repair in organoids	Life Science Alliance	Maarten H. Geurts, Eyleen de Poel et al.	102
5	Coordination of germ layer lineage choice by TET1 during primed pluripotency	Genes & Development	Xinlong Luo, Matteo Boretto et al.	8
6	Organoids can be established reliably from cryopreserved biopsy catheter-derived endometrial tissue of infertile women	Reproductive BioMedicine Online	Bich Ngoc Bui, Matteo Boretto et al.	24
7	Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models	Stem Cell Reports	Nina Maenhoudt, Matteo Boretto et al.	132
8	Human-Derived Model Systems in Gynecological Cancer Research	Trends in cancer	Kadi Lõhmussaar, Matteo Boretto et al.	31
9	Murine Endometrial Organoids to Model Chlamydia Infection	Frontiers in Cellular and Infection Microbiology	Matteo Boretto, Melanie R. Rutkowski et al.	27
10	Functional expression of the mechanosensitive PIEZO1 channel in primary endometrial epithelial cells and endometrial organoids	Scientific Reports	Aurélie Hennes, Katharina Held et al.	42
11	Organoids from pituitary as a novel research model toward pituitary stem cell exploration	Journal of Endocrinology	Benoit Cox, Hiroto Kobayashi et al.	37
12	Major depletion of SOX2+ stem cells in the adult pituitary is not restored which does not affect hormonal cell homeostasis and remodelling	Scientific Reports	Heleen Roose, Benoit Cox et al.	19
13	Development of organoids from mouse and human endometrium showing endometrial epithelium physiology and long-term expandability breakdown →	Development	Matteo Boretto, Benoit Cox et al.	304

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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