Sébastien P. Tabruyn
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 5
- NF-κB Signaling Pathways 5
- MicroRNA in disease regulation 2
- Oncology top 5%
- Lymphatic System and Diseases 2
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 11
- Glycosylation and Glycoproteins Research 3
- Natural product bioactivities and synthesis 3
- Hematology top 5%
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- Cystic Fibrosis Research Advances 3
- Co-authors
- Arjan W. GriffioenIngrid StrumanJoseph MartialDonald M. McDonaldNgoc-Quynh-Nhu NguyenKarolien CastermansAgnès NoëlVincent Bours
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Sébastien P. Tabruyn
35 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 767
- Oncology 587
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 332
- Hematology 154
Countries citing papers authored by Sébastien P. Tabruyn
This map shows the geographic impact of Sébastien P. Tabruyn'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 Sébastien P. Tabruyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien P. Tabruyn more than expected).
Fields of papers citing papers by Sébastien P. Tabruyn
This network shows the impact of papers produced by Sébastien P. Tabruyn. 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 Sébastien P. Tabruyn. The network helps show where Sébastien P. Tabruyn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sébastien P. Tabruyn, 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 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2018 | 68 | |
| 4 | 2016 | 55 | |
| 5 | 2016 | 28 | |
| 6 | 2015 | 159 | |
| 7 | 2014 | 143 | |
| 8 | MicroRNA-146a is a therapeutic target and biomarker for peripartum cardiomyopathybreakdown → | 2013 | 380 |
| 9 | 2012 | 325 | |
| 10 | 2011 | 72 | |
| 11 | 2010 | 29 | |
| 12 | 2010 | 22 | |
| 13 | 2010 | 51 | |
| 14 | 2009 | 43 | |
| 15 | 2008 | 100 | |
| 16 | 2007 | 83 | |
| 17 | 2007 | 29 | |
| 18 | 2007 | 46 | |
| 19 | 2006 | 41 | |
| 20 | 2003 | 73 |
About Sébastien P. Tabruyn
Sébastien P. Tabruyn is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (11 papers), Cancer, Hypoxia, and Metabolism (5 papers), NF-κB Signaling Pathways (5 papers), Glycosylation and Glycoproteins Research (3 papers), Natural product bioactivities and synthesis (3 papers), Cystic Fibrosis Research Advances (3 papers), Lymphatic System and Diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (767 citations), Oncology (587 citations) and Molecular Biology (1.3k citations). Sébastien P. Tabruyn has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Arjan W. Griffioen, Ingrid Struman, Joseph Martial, Donald M. McDonald, Ngoc-Quynh-Nhu Nguyen, Karolien Castermans, Agnès Noël, Vincent Bours, Barbara Sennino and Marc Thiry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.