Thibault Helleputte
Impact in
- Health Informatics top 5%
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- Artificial Intelligence in Healthcare
Papers in
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- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 3
- vaccines and immunoinformatics approaches 2
- Protein purification and stability 1
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- Face and Expression Recognition 3
- Co-authors
- Pierre Dupont (8 shared papers)Yves Van de Peer (2 shared papers)Yvan Saeys (2 shared papers)Thomas Abeel (2 shared papers)Damien Gruson (1 shared paper)Françoise N. Smets (2 shared papers)Etienne Marc Sokal (2 shared papers)Xavier Stéphenne (2 shared papers)
- Journals
- PLoS ONE (2 papers)Pediatric Transplantation (1 paper)Clinical Biochemistry (1 paper)Allergy (1 paper)Bioinformatics (1 paper)
- Partner nations
- BelgiumUnited StatesSwitzerland
In The Last Decade
Thibault Helleputte
18 papers receiving 753 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 31
- Health Information Management 32
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 122
- Molecular Biology 346
Countries citing papers authored by Thibault Helleputte
This map shows the geographic impact of Thibault Helleputte'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 Thibault Helleputte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thibault Helleputte more than expected).
Fields of papers citing papers by Thibault Helleputte
This network shows the impact of papers produced by Thibault Helleputte. 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 Thibault Helleputte. The network helps show where Thibault Helleputte may publish in the future.
Co-authors
The 25 scholars most cited alongside Thibault Helleputte, 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 | 2009 | 477 | |
| 2 | 2019 | 94 | |
| 3 | 2015 | 33 | |
| 4 | 2012 | 32 | |
| 5 | 2015 | 31 | |
| 6 | 2009 | 24 | |
| 7 | 2014 | 16 | |
| 8 | 2010 | 14 | |
| 9 | 2009 | 14 | |
| 10 | Clinical response to the MAGE-A3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment | 2008 | 9 |
| 11 | 2019 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2018 | 4 | |
| 14 | 2025 | 3 | |
| 15 | Robust biomarker identification for cancer diagnosis using ensemble feature selection methods | 2009 | 2 |
| 16 | Machine learning in the biopharma industry. | 2020 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 1 | |
| 20 | Biomarker selection by transfer learning with linear regularized models | 2009 | 1 |
About Thibault Helleputte
Thibault Helleputte is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Rheumatology, Health Informatics and Immunology, having authored 20 papers that have together received 775 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (3 papers), Face and Expression Recognition (3 papers), vaccines and immunoinformatics approaches (2 papers), Diabetes and associated disorders (1 paper), Protein purification and stability (1 paper), Urinary Bladder and Prostate Research (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (31 citations), Health Information Management (32 citations), Artificial Intelligence (230 citations), Computer Vision and Pattern Recognition (122 citations) and Molecular Biology (346 citations). Thibault Helleputte has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Pierre Dupont, Yves Van de Peer, Yvan Saeys, Thomas Abeel, Damien Gruson, Françoise N. Smets, Etienne Marc Sokal, Xavier Stéphenne, Catherine Wanty and Daniel Hernández-Lobato. Their work appears in journals such as PLoS ONE, Pediatric Transplantation, Clinical Biochemistry, Allergy and Bioinformatics.
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.