Matthieu Schapira

17.2k total citations · 5 hit papers
114 papers, 10.4k citations indexed

About

Matthieu Schapira is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Matthieu Schapira has authored 114 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 14 papers in Oncology. Recurrent topics in Matthieu Schapira's work include Cancer-related gene regulation (38 papers), Epigenetics and DNA Methylation (38 papers) and Protein Degradation and Inhibitors (24 papers). Matthieu Schapira is often cited by papers focused on Cancer-related gene regulation (38 papers), Epigenetics and DNA Methylation (38 papers) and Protein Degradation and Inhibitors (24 papers). Matthieu Schapira collaborates with scholars based in Canada, United States and United Kingdom. Matthieu Schapira's co-authors include C.H. Arrowsmith, Yuhong Zhang, Huiqing Zeng, Heather P. Harding, Isabel Novoa, David Ron, Ronald C. Wek, Renato Ferreira de Freitas, Paul V. Fish and C. Bountra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Matthieu Schapira

114 papers receiving 10.2k citations

Hit Papers

Regulated Translation Initiation Controls Stress-Induced ... 2000 2026 2008 2017 2000 2012 2019 2017 2021 500 1000 1.5k 2.0k 2.5k

Peers

Matthieu Schapira
Patrick A. Eyers United Kingdom
Shao‐En Ong United States
Florian Gnad Germany
Thomas Machleidt United States
Maurizio Pellecchia United States
Jiawei Wu China
Sucha Sudarsanam United States
Patrick A. Eyers United Kingdom
Matthieu Schapira
Citations per year, relative to Matthieu Schapira Matthieu Schapira (= 1×) peers Patrick A. Eyers

Countries citing papers authored by Matthieu Schapira

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Schapira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Schapira

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Schapira. A scholar is included among the top collaborators of Matthieu Schapira 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 Matthieu Schapira. Matthieu Schapira 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.
Krämer, Christian, John D. Chodera, Kelly L. Damm‐Ganamet, et al.. (2025). The Need for Continuing Blinded Pose- and Activity Prediction Benchmarks. Journal of Chemical Information and Modeling. 65(5). 2180–2190. 6 indexed citations
2.
Eguida, Merveille, Guillaume Bret, Fengling Li, et al.. (2024). Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2. Journal of Chemical Information and Modeling. 64(13). 5344–5355. 4 indexed citations
3.
Schapira, Matthieu, Levon Halabelian, C.H. Arrowsmith, & Rachel Harding. (2024). Big data and benchmarking initiatives to bridge the gap from AlphaFold to drug design. Nature Chemical Biology. 20(8). 937–940. 5 indexed citations
4.
Ahmad, Shabbir, Mark Mabanglo, Levon Halabelian, et al.. (2024). Development of Peptide Displacement Assays to Screen for Antagonists of DDB1 Interactions. Biochemistry. 63(10). 1297–1306. 2 indexed citations
5.
Harding, Rachel, Ivan Franzoni, Mandeep Mann, et al.. (2023). Discovery and characterization of a chemical probe targeting the zinc-finger ubiquitin-binding domain of HDAC6. Figshare. 1 indexed citations
6.
Harding, Rachel, Ivan Franzoni, Mandeep Mann, et al.. (2023). Discovery and Characterization of a Chemical Probe Targeting the Zinc-Finger Ubiquitin-Binding Domain of HDAC6. Journal of Medicinal Chemistry. 66(15). 10273–10288. 7 indexed citations
7.
Mann, Mandeep, Brian J. Wilson, Albina Bolotokova, et al.. (2023). Small Molecule Screen Identifies Non-catalytic USP3 Chemical Handle. ACS Omega. 9(1). 917–924. 1 indexed citations
8.
Aakula, Anna, Francesco Tabaro, Matthieu Schapira, et al.. (2023). RAS and PP2A activities converge on epigenetic gene regulation. Life Science Alliance. 6(5). e202301928–e202301928. 7 indexed citations
9.
Barghout, Samir H., Mandeep Mann, Asma M. Aman, et al.. (2022). Combinatorial Anticancer Drug Screen Identifies Off-Target Effects of Epigenetic Chemical Probes. ACS Chemical Biology. 17(10). 2801–2816. 7 indexed citations
10.
Harding, Rachel, Justin C. Deme, Johannes F. Hevler, et al.. (2021). Huntingtin structure is orchestrated by HAP40 and shows a polyglutamine expansion-specific interaction with exon 1. Communications Biology. 4(1). 1374–1374. 26 indexed citations
11.
Mann, Mandeep, Carlos Zepeda‐Velázquez, Aiping Dong, et al.. (2021). Structure–Activity Relationship of USP5 Inhibitors. Journal of Medicinal Chemistry. 64(20). 15017–15036. 13 indexed citations
12.
Newman, J.A., A. Douangamath, Y. Yosaatmadja, et al.. (2021). Structure, mechanism and crystallographic fragment screening of the SARS-CoV-2 NSP13 helicase. Nature Communications. 12(1). 4848–4848. 155 indexed citations
13.
Schapira, Matthieu, et al.. (2020). Structure-based view of the druggable genome. Drug Discovery Today. 25(3). 561–567. 17 indexed citations
14.
Mann, Mandeep, Ivan Franzoni, Renato Ferreira de Freitas, et al.. (2019). Discovery of Small Molecule Antagonists of the USP5 Zinc Finger Ubiquitin-Binding Domain. Journal of Medicinal Chemistry. 62(22). 10144–10155. 10 indexed citations
15.
Freitas, Renato Ferreira de, Rachel Harding, Ivan Franzoni, et al.. (2018). Identification and Structure–Activity Relationship of HDAC6 Zinc-Finger Ubiquitin Binding Domain Inhibitors. Journal of Medicinal Chemistry. 61(10). 4517–4527. 50 indexed citations
16.
Harding, Rachel, Renato Ferreira de Freitas, P.M. Collins, et al.. (2017). Small Molecule Antagonists of the Interaction between the Histone Deacetylase 6 Zinc-Finger Domain and Ubiquitin. Journal of Medicinal Chemistry. 60(21). 9090–9096. 29 indexed citations
17.
Song, Richard, Zhongduo Wang, & Matthieu Schapira. (2017). Disease Association and Druggability of WD40 Repeat Proteins. Journal of Proteome Research. 16(10). 3766–3773. 26 indexed citations
18.
Xu, Chao, Ke Liu, Hazem Ahmed, et al.. (2015). Structural Basis for the Discriminative Recognition of N6-Methyladenosine RNA by the Human YT521-B Homology Domain Family of Proteins. Journal of Biological Chemistry. 290(41). 24902–24913. 255 indexed citations
19.
Guo, Yahong, Nataliya Nady, Chao Qi, et al.. (2009). Methylation-state-specific recognition of histones by the MBT repeat protein L3MBTL2. Nucleic Acids Research. 37(7). 2204–2210. 73 indexed citations
20.
Schapira, Matthieu, Bruce M. Raaka, Herbert H. Samuels, & Ruben Abagyan. (2001). In silico discovery of novel Retinoic Acid Receptor agonist structures. BMC Structural Biology. 1(1). 1–1. 36 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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