Geert Berx

25.7k citations
137 papers · 15.9k indexed · 8 hit papers · h-index 53

Impact in

    • 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
    • Cancer Cells and Metastasis 31

Geert Berx

135 papers receiving 15.6k citations

Hit Papers

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment 2019 · 624 citations
624199520262005201550010001.5k2.0k

Peers

Geert Berx
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
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Geert Berx relative to Shideng Bao United States Shideng Bao's profile →
Citations per field
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Shideng Bao · 1×
Citations per year

Countries citing papers authored by Geert Berx

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Geert Berx Line = papers co-authored together Geert Berx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202417
3 202424
4 20237
5 202213
6 202214
7 202226
8 202122
9
A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment
Hit paper breakdown →
2019624
10 201770
11 201682
12
Targeting BET family proteins improves the therapeutic efficacy of BCL-2 inhibition in T-cell acute lymphoblastic leukemia
20161
13 201530
14 2013275
15 201270
16 201038
17 200627
18 2005204
19 199773
20 19974

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.

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