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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- Gene expression and cancer classification 3
- RNA Research and Splicing 3
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- Thyroid Cancer Diagnosis and Treatment 3
- Co-authors
- Vincent Detours (10 shared papers)Julian Chéron (1 shared paper)Angéline Bilheu (1 shared paper)Pierre Vanderhaeghen (1 shared paper)Franck Polleux (1 shared paper)Roxane Van Heurck (1 shared paper)Adèle Herpoel (1 shared paper)Marta Wojno (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)BMC Genomics (2 papers)Cancer Research (2 papers)Cell Reports (1 paper)Oncogene (1 paper)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
David Gacquer
17 papers receiving 803 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 83
- Cancer Research 145
- Molecular Biology 552
- Aging 12
- Endocrinology, Diabetes and Metabolism 93
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 | 273 | |
| 2 | 2015 | 174 | |
| 3 | 2012 | 107 | |
| 4 | 2015 | 58 | |
| 5 | 2014 | 47 | |
| 6 | 2018 | 39 | |
| 7 | 2015 | 25 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2011 | 16 | |
| 11 | 2018 | 11 | |
| 12 | Detection of defective sources with belief function s | 2008 | 9 |
| 13 | 2009 | 8 | |
| 14 | 2019 | 7 | |
| 15 | A genetic approach for training diverse classifier ensembles | 2008 | 4 |
| 16 | 2012 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2022 | 0 |
About David Gacquer
David Gacquer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research, having authored 19 papers that have together received 815 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), RNA Research and Splicing (3 papers), Multi-Criteria Decision Making (2 papers), Evolutionary Algorithms and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Developmental Neuroscience (83 citations), Cancer Research (145 citations), Molecular Biology (552 citations), Aging (12 citations) and Endocrinology, Diabetes and Metabolism (93 citations). David Gacquer has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Vincent Detours, Julian Chéron, Angéline Bilheu, Pierre Vanderhaeghen, Franck Polleux, Roxane Van Heurck, Adèle Herpoel, Marta Wojno, Nelle Lambert and Ikuo Suzuki. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BMC Genomics, Cancer Research, Cell Reports and Oncogene.
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.