David Mauduit
Impact in
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- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Melanoma and MAPK Pathways
Papers in
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- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 4
- Muscle Physiology and Disorders 2
- vaccines and immunoinformatics approaches 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 1
- Surgery 1
- Co-authors
- Stein Aerts (7 shared papers)Valerie Christiaens (7 shared papers)Gert Hulselmans (7 shared papers)Ibrahim Ihsan Taskiran (5 shared papers)Samira Makhzami (3 shared papers)Suresh Poovathingal (4 shared papers)Katina I. Spanier (2 shared papers)Carmen Bravo González‐Blas (4 shared papers)
- Journals
- Nature Cell Biology (2 papers)Genome Research (2 papers)Scientific Reports (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)Science (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
David Mauduit
9 papers receiving 458 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 320
- Biophysics 19
- Cancer Research 43
- Oncology 70
- Immunology 53
Countries citing papers authored by David Mauduit
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
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-authors
The 25 scholars most cited alongside David Mauduit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2023 | 83 | |
| 3 | 2020 | 65 | |
| 4 | 2020 | 54 | |
| 5 | 2020 | 38 | |
| 6 | 2024 | 36 | |
| 7 | 2021 | 23 | |
| 8 | 2025 | 11 | |
| 9 | 2020 | 5 |
About David Mauduit
David Mauduit is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Genetics, having authored 9 papers that have together received 460 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (4 papers), Muscle Physiology and Disorders (2 papers), vaccines and immunoinformatics approaches (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Animal Genetics and Reproduction (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (320 citations), Biophysics (19 citations), Cancer Research (43 citations), Oncology (70 citations) and Immunology (53 citations). David Mauduit has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Stein Aerts, Valerie Christiaens, Gert Hulselmans, Ibrahim Ihsan Taskiran, Samira Makhzami, Suresh Poovathingal, Katina I. Spanier, Carmen Bravo González‐Blas, Jasper Wouters and Liesbeth Minnoye. Their work appears in journals such as Nature Cell Biology, Genome Research, Scientific Reports, Molecular Therapy — Methods & Clinical Development and Science.
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.