Steven De Vleeschouwer
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 46
- Immunology top 2%
- Immunotherapy and Immune Responses 25
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 19
- CAR-T cell therapy research 8
- Pharmaceutical Science top 5%
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- Meningioma and schwannoma management 15
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- RNA Interference and Gene Delivery 9
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- Head and Neck Surgical Oncology 7
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- Traumatic Brain Injury and Neurovascular Disturbances 7
- Co-authors
- Stefaan Van GoolFrank Van CalenberghStefaan W. Van GoolPatrizia AgostinisRaf SciotAbhishek D. GargPhilippe DemaerelLouis Boon
- Cited by
- GeneticsImmunologyOncology
- Journals
- Chemical Society Reviews (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (5 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Steven De Vleeschouwer
102 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 113
- Genetics 1.1k
- Immunology 1.5k
- Oncology 1.2k
- Radiology, Nuclear Medicine and Imaging 461
- Pharmaceutical Science 117
Countries citing papers authored by Steven De Vleeschouwer
This map shows the geographic impact of Steven De Vleeschouwer'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 Steven De Vleeschouwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven De Vleeschouwer more than expected).
Fields of papers citing papers by Steven De Vleeschouwer
This network shows the impact of papers produced by Steven De Vleeschouwer. 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 Steven De Vleeschouwer. The network helps show where Steven De Vleeschouwer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven De Vleeschouwer, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 42 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 48 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2021 | 9 | |
| 19 | 2015 | 45 | |
| 20 | Clinical study: Resection and Immunotherapy for Recurrent Grade III Glioma | 2012 | 20 |
About Steven De Vleeschouwer
Steven De Vleeschouwer is a scholar working on Genetics, Immunology and Oncology, having authored 110 papers that have together received 3.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (46 papers), Immunotherapy and Immune Responses (25 papers), Cancer Immunotherapy and Biomarkers (19 papers), Meningioma and schwannoma management (15 papers), RNA Interference and Gene Delivery (9 papers), CAR-T cell therapy research (8 papers), Head and Neck Surgical Oncology (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). The work is most often cited by research in Genetics (1.1k citations), Immunology (1.5k citations) and Oncology (1.2k citations). Steven De Vleeschouwer has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Stefaan Van Gool, Frank Van Calenbergh, Stefaan W. Van Gool, Patrizia Agostinis, Raf Sciot, Abhishek D. Garg, Philippe Demaerel, Louis Boon, Wim Maes and Matthias Van Woensel. Their work appears in journals such as Chemical Society Reviews, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.