Geert Berx
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 0.2%
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 45
- Cancer-related gene regulation 36
- Kruppel-like factors research 17
- Epigenetics and DNA Methylation 9
- RNA Research and Splicing 8
- Oncology 42
- Cancer Cells and Metastasis 31
- Co-authors
- Frans van RoyBram De CraeneFriedel NolletNiels VandammeErik BruyneelSteven GoossensAlexander GheldofMarc J. van de Vijver
- Journals
- Cellular and Molecular Life Sciences (7 papers)Oncogene (7 papers)Scientific Reports (4 papers)Breast Cancer Research (4 papers)Blood (4 papers)
- Partner nations
- BelgiumGermanyNetherlands
In The Last Decade
Geert Berx
135 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 3.8k
- Oncology 5.6k
- Molecular Biology 10.5k
- Cell Biology 1.7k
- Pathology and Forensic Medicine 1.6k
Countries citing papers authored by Geert Berx
This map shows the geographic impact of Geert Berx'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 Geert Berx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Berx more than expected).
Fields of papers citing papers by Geert Berx
This network shows the impact of papers produced by Geert Berx. 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 Geert Berx. The network helps show where Geert Berx may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geert Berx, 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 | 2024 | 17 | |
| 3 | 2024 | 24 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 22 | |
| 9 | A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment Hit paper breakdown → | 2019 | 624 |
| 10 | 2017 | 70 | |
| 11 | 2016 | 82 | |
| 12 | Targeting BET family proteins improves the therapeutic efficacy of BCL-2 inhibition in T-cell acute lymphoblastic leukemia | 2016 | 1 |
| 13 | 2015 | 30 | |
| 14 | 2013 | 275 | |
| 15 | 2012 | 70 | |
| 16 | 2010 | 38 | |
| 17 | 2006 | 27 | |
| 18 | 2005 | 204 | |
| 19 | 1997 | 73 | |
| 20 | 1997 | 4 |
About Geert Berx
Geert Berx is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Hematology, having authored 137 papers that have together received 15.9k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (45 papers), Cancer-related gene regulation (36 papers), Cancer Cells and Metastasis (31 papers), Kruppel-like factors research (17 papers), Epigenetics and DNA Methylation (9 papers), Hippo pathway signaling and YAP/TAZ (8 papers), RNA Research and Splicing (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Cancer Research (3.8k citations), Oncology (5.6k citations), Molecular Biology (10.5k citations), Cell Biology (1.7k citations) and Pathology and Forensic Medicine (1.6k citations). Geert Berx has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Frans van Roy, Bram De Craene, Friedel Nollet, Niels Vandamme, Erik Bruyneel, Steven Goossens, Alexander Gheldof, Marc J. van de Vijver, Anne‐Marie Cleton‐Jansen and Danny Huylebroeck. Their work appears in journals such as Cellular and Molecular Life Sciences, Oncogene, Scientific Reports, Breast Cancer Research 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.