David Gacquer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Breast Cancer Treatment Studies 3
- Cancer Genomics and Diagnostics 2
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- Thyroid Cancer Diagnosis and Treatment 4
- Co-authors
- Vincent Detours (10 shared papers)Ikuo Suzuki (1 shared paper)Pierre Vanderhaeghen (1 shared paper)Adèle Herpoel (1 shared paper)Julian Chéron (1 shared paper)Devesh Kumar (1 shared paper)Franck Polleux (1 shared paper)Roxane Van Heurck (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Annals of Oncology (2 papers)BMC Genomics (2 papers)Scientific Reports (1 paper)BMC Cancer (1 paper)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
David Gacquer
17 papers receiving 876 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 135
- Endocrinology, Diabetes and Metabolism 147
- Cancer Research 116
- Molecular Biology 364
- Genetics 94
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 | 315 | |
| 2 | 2015 | 193 | |
| 3 | 2012 | 110 | |
| 4 | 2015 | 59 | |
| 5 | 2014 | 52 | |
| 6 | 2018 | 43 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2011 | 15 | |
| 11 | 2018 | 12 | |
| 12 | Detection of defective sources with belief function s | 2008 | 11 |
| 13 | 2009 | 8 | |
| 14 | 2019 | 7 | |
| 15 | A genetic approach for training diverse classifier ensembles | 2008 | 4 |
| 16 | 2006 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 |
About David Gacquer
David Gacquer is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Media Technology, Environmental Engineering and Molecular Biology, having authored 18 papers that have together received 896 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Breast Cancer Treatment Studies (3 papers), Remote-Sensing Image Classification (2 papers), Machine Learning and Data Classification (2 papers), Single-cell and spatial transcriptomics (2 papers), Evolutionary Algorithms and Applications (2 papers), Gene expression and cancer classification (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Developmental Neuroscience (135 citations), Endocrinology, Diabetes and Metabolism (147 citations), Cancer Research (116 citations), Molecular Biology (364 citations) and Genetics (94 citations). David Gacquer has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Vincent Detours, Ikuo Suzuki, Pierre Vanderhaeghen, Adèle Herpoel, Julian Chéron, Devesh Kumar, Franck Polleux, Roxane Van Heurck, Angéline Bilheu and Nelle Lambert. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Oncology, BMC Genomics, Scientific Reports and BMC Cancer.
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.