Bart Weijts
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Cell Biology 11
- Zebrafish Biomedical Research Applications 11
- Co-authors
- Alain de Bruin (8 shared papers)David Traver (6 shared papers)Stefan Schulte‐Merker (5 shared papers)Raquel Espín-Palazón (3 shared papers)León J. De Windt (1 shared paper)Xander H.T. Wehrens (1 shared paper)Roel van der Nagel (1 shared paper)Meriem Bourajjaj (1 shared paper)
- Journals
- Disease Models & Mechanisms (2 papers)PLoS ONE (2 papers)The EMBO Journal (1 paper)Experimental Hematology (1 paper)Blood (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Bart Weijts
19 papers receiving 684 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 240
- Cancer Research 96
- Molecular Biology 426
- Immunology 125
- Hematology 64
Countries citing papers authored by Bart Weijts
This map shows the geographic impact of Bart Weijts'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 Bart Weijts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Weijts more than expected).
Fields of papers citing papers by Bart Weijts
This network shows the impact of papers produced by Bart Weijts. 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 Bart Weijts. The network helps show where Bart Weijts may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Weijts, 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 | 2008 | 126 | |
| 2 | 2015 | 109 | |
| 3 | 2012 | 106 | |
| 4 | 2018 | 56 | |
| 5 | 2017 | 41 | |
| 6 | 2013 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2017 | 19 | |
| 12 | 2013 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2026 | 0 |
About Bart Weijts
Bart Weijts is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Cancer Research, having authored 20 papers that have together received 690 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cell Biology (240 citations), Cancer Research (96 citations), Molecular Biology (426 citations), Immunology (125 citations) and Hematology (64 citations). Bart Weijts has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Alain de Bruin, David Traver, Stefan Schulte‐Merker, Raquel Espín-Palazón, León J. De Windt, Xander H.T. Wehrens, Roel van der Nagel, Meriem Bourajjaj, Anne‐Sophie Armand and Paula A. da Costa Martins. Their work appears in journals such as Disease Models & Mechanisms, PLoS ONE, The EMBO Journal, Experimental Hematology and Blood.
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.