David Mauduit

958 total citations
9 papers, 419 citations indexed

About

David Mauduit is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, David Mauduit has authored 9 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in David Mauduit's work include Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (4 papers) and vaccines and immunoinformatics approaches (2 papers). David Mauduit is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (4 papers) and vaccines and immunoinformatics approaches (2 papers). David Mauduit collaborates with scholars based in Belgium, United States and France. David Mauduit's co-authors include Stein Aerts, Gert Hulselmans, Valerie Christiaens, Ibrahim Ihsan Taskiran, Carmen Bravo González‐Blas, Suresh Poovathingal, Samira Makhzami, Katina I. Spanier, Liesbeth Minnoye and Jasper Wouters and has published in prestigious journals such as Nature, Science and Nature Cell Biology.

In The Last Decade

David Mauduit

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mauduit Belgium 8 311 72 53 44 30 9 419
Mana Umeda Japan 10 337 1.1× 31 0.4× 58 1.1× 79 1.8× 38 1.3× 15 470
Alejandro La Greca Argentina 11 193 0.6× 37 0.5× 32 0.6× 66 1.5× 17 0.6× 13 306
Shuxiong Wang United States 7 283 0.9× 87 1.2× 64 1.2× 53 1.2× 49 1.6× 8 403
Liesbeth Minnoye Belgium 6 628 2.0× 89 1.2× 91 1.7× 123 2.8× 33 1.1× 6 706
Jian Tajbakhsh United States 11 299 1.0× 45 0.6× 14 0.3× 34 0.8× 32 1.1× 22 424
Rakefet Ben-Yishay Israel 9 488 1.6× 38 0.5× 15 0.3× 28 0.6× 32 1.1× 15 578
Alexander Williams United States 8 293 0.9× 72 1.0× 56 1.1× 51 1.2× 17 0.6× 12 429
Jérémie Cosette France 10 302 1.0× 50 0.7× 31 0.6× 19 0.4× 30 1.0× 22 426
Jay F. Sarthy United States 10 433 1.4× 44 0.6× 32 0.6× 59 1.3× 18 0.6× 24 531
Dario Bressan United Kingdom 7 363 1.2× 34 0.5× 64 1.2× 114 2.6× 26 0.9× 9 472

Countries citing papers authored by David Mauduit

Since Specialization
Citations

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

Fields of papers citing papers by David Mauduit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mauduit

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

All Works

9 of 9 papers shown
1.
Hecker, Nikolai, David Mauduit, Roel Vandepoel, et al.. (2025). Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium. Science. 387(6735). eadp3957–eadp3957. 9 indexed citations
2.
González‐Blas, Carmen Bravo, Irina Matetovici, Hanne Hillen, et al.. (2024). Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation. Nature Cell Biology. 26(1). 153–167. 30 indexed citations
3.
Taskiran, Ibrahim Ihsan, Katina I. Spanier, Gert Hulselmans, et al.. (2023). Cell-type-directed design of synthetic enhancers. Nature. 626(7997). 212–220. 69 indexed citations
4.
Atak, Zeynep Kalender, Ibrahim Ihsan Taskiran, Jonas Demeulemeester, et al.. (2021). Interpretation of allele-specific chromatin accessibility using cell state–aware deep learning. Genome Research. 31(6). 1082–1096. 22 indexed citations
5.
González‐Blas, Carmen Bravo, Xiao‐Jiang Quan, Ibrahim Ihsan Taskiran, et al.. (2020). Identification of genomic enhancers through spatial integration of single‐cell transcriptomics and epigenomics. Molecular Systems Biology. 16(5). e9438–e9438. 48 indexed citations
6.
Mauduit, David, Jean‐Laurent Thibaud, Pauline De Fornel, et al.. (2020). In Vivo Myoblasts Tracking Using the Sodium Iodide Symporter Gene Expression in Dogs. Molecular Therapy — Methods & Clinical Development. 17. 317–327. 5 indexed citations
7.
Wouters, Jasper, Zeynep Kalender Atak, Liesbeth Minnoye, et al.. (2020). Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma. Nature Cell Biology. 22(8). 986–998. 137 indexed citations
8.
Minnoye, Liesbeth, Ibrahim Ihsan Taskiran, David Mauduit, et al.. (2020). Cross-species analysis of enhancer logic using deep learning. Genome Research. 30(12). 1815–1834. 61 indexed citations
9.
Barthélémy, Inès, Jean‐Laurent Thibaud, Pauline De Fornel, et al.. (2020). In vivo stem cell tracking using scintigraphy in a canine model of DMD. Scientific Reports. 10(1). 38 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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