David Gacquer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in ⓘ
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- RNA Research and Splicing 3
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
- Molecular Biology Techniques and Applications 2
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
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- Thyroid Cancer Diagnosis and Treatment 4
- Co-authors
- Vincent Detours (10 shared papers)Carine Maenhaut (5 shared papers)Ikuo Suzuki (1 shared paper)Franck Polleux (1 shared paper)Adèle Herpoel (1 shared paper)Devesh Kumar (1 shared paper)Marta Wojno (1 shared paper)Julian Chéron (1 shared paper)
- Journals
- BMC Genomics (2 papers)Cancer Research (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Genes Chromosomes and Cancer (1 paper)Scientific Reports (1 paper)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
David Gacquer
16 papers receiving 755 citations
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 75
- Cancer Research 166
- Molecular Biology 582
- Endocrinology, Diabetes and Metabolism 101
- Aging 10
Countries citing papers authored by David Gacquer
This map shows the geographic impact of David Gacquer'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 Gacquer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gacquer more than expected).
Fields of papers citing papers by David Gacquer
This network shows the impact of papers produced by David Gacquer. 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 Gacquer. The network helps show where David Gacquer may publish in the future.
Co-authors
The 25 scholars most cited alongside David Gacquer, 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 | 2018 | 255 | |
| 2 | 2015 | 171 | |
| 3 | 2012 | 106 | |
| 4 | 2015 | 57 | |
| 5 | 2014 | 42 | |
| 6 | 2018 | 37 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2018 | 10 | |
| 12 | Detection of defective sources with belief function s | 2008 | 9 |
| 13 | 2019 | 6 | |
| 14 | 2022 | 1 | |
| 15 | 2006 | 1 | |
| 16 | 2012 | 1 | |
| 17 | A genetic approach for training diverse classifier ensembles | 2008 | 1 |
| 18 | 2022 | 0 |
About David Gacquer
David Gacquer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Management Science and Operations Research, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (2 papers), Molecular Biology Techniques and Applications (2 papers), Multi-Criteria Decision Making (2 papers), RNA modifications and cancer (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cancer Research (166 citations), Molecular Biology (582 citations), Endocrinology, Diabetes and Metabolism (101 citations) and Aging (10 citations). David Gacquer has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Vincent Detours, Carine Maenhaut, Ikuo Suzuki, Franck Polleux, Adèle Herpoel, Devesh Kumar, Marta Wojno, Julian Chéron, Roxane Van Heurck and Pierre Vanderhaeghen. Their work appears in journals such as BMC Genomics, Cancer Research, The Journal of Clinical Endocrinology & Metabolism, Genes Chromosomes and Cancer and Scientific Reports.
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.