Joe Ibrahim

678 total citations
23 papers, 479 citations indexed

About

Joe Ibrahim is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Joe Ibrahim has authored 23 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Joe Ibrahim's work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (7 papers) and Cancer Genomics and Diagnostics (4 papers). Joe Ibrahim is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (7 papers) and Cancer Genomics and Diagnostics (4 papers). Joe Ibrahim collaborates with scholars based in Belgium, Lebanon and United States. Joe Ibrahim's co-authors include Ken Op de Beeck, Guy Van Camp, Marc Peeters, Erik Fransén, Lieselot Croes, Patrick Pauwels, Wim Vanden Berghe, Arvid Suls, Matthias Beyens and Peter Vandenabeele and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Joe Ibrahim

22 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joe Ibrahim Belgium 11 378 100 95 85 68 23 479
Ting‐Yu Lai Taiwan 9 167 0.4× 112 1.1× 70 0.7× 27 0.3× 54 0.8× 17 353
Eun‐Young Kim South Korea 10 224 0.6× 112 1.1× 100 1.1× 45 0.5× 100 1.5× 27 395
Boris K. Pliyev Russia 12 130 0.3× 168 1.7× 64 0.7× 37 0.4× 25 0.4× 17 412
James A. Browne United States 13 193 0.5× 42 0.4× 51 0.5× 64 0.8× 22 0.3× 21 357
Masaki Kuwabara Japan 10 117 0.3× 71 0.7× 29 0.3× 74 0.9× 119 1.8× 23 370
Victoria Mgbemena United States 11 262 0.7× 144 1.4× 34 0.4× 58 0.7× 33 0.5× 16 496
Anannya Bhattacharya United States 7 324 0.9× 195 1.9× 29 0.3× 14 0.2× 33 0.5× 8 475
J. Liu China 10 149 0.4× 32 0.3× 58 0.6× 47 0.6× 67 1.0× 25 420
Liat Edry‐Botzer Israel 11 272 0.7× 226 2.3× 52 0.5× 38 0.4× 36 0.5× 12 452

Countries citing papers authored by Joe Ibrahim

Since Specialization
Citations

This map shows the geographic impact of Joe Ibrahim'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 Joe Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Ibrahim more than expected).

Fields of papers citing papers by Joe Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Ibrahim. 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 Joe Ibrahim. The network helps show where Joe Ibrahim may publish in the future.

Co-authorship network of co-authors of Joe Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Ibrahim. A scholar is included among the top collaborators of Joe Ibrahim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joe Ibrahim. Joe Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Laere, Steven Van, Emilie Logie, Steven Timmermans, et al.. (2025). Gradual DNA methylation changes reveal transcription factors implicated in metabolic dysfunction-associated steatotic liver disease progression and epigenetic age acceleration. Clinical Epigenetics. 17(1). 138–138. 1 indexed citations
2.
Ibrahim, Joe, et al.. (2025). Comparison of current methods for genome-wide DNA methylation profiling. Epigenetics & Chromatin. 18(1). 57–57. 5 indexed citations
3.
Ibrahim, Joe, et al.. (2025). The technology landscape for detection of DNA methylation in cancer liquid biopsies. Epigenetics. 20(1). 2453273–2453273. 3 indexed citations
4.
Ibrahim, Joe, Arvid Suls, Dieter Peeters, et al.. (2024). IMPRESS: Improved methylation profiling using restriction enzymes and smMIP sequencing, combined with a new biomarker panel, creating a multi-cancer detection assay. British Journal of Cancer. 131(7). 1224–1236. 6 indexed citations
5.
Vanderhaeghen, Tineke, Cédric Peleman, Joe Ibrahim, et al.. (2024). Loss of PPARα function promotes epigenetic dysregulation of lipid homeostasis driving ferroptosis and pyroptosis lipotoxicity in metabolic dysfunction associated Steatotic liver disease (MASLD). SHILAP Revista de lepidopterología. 3. 1283170–1283170. 3 indexed citations
6.
Ibrahim, Joe, Dieter Peeters, Jo Raskin, et al.. (2024). Genome-wide DNA methylation analysis reveals a unique methylation pattern for pleural mesothelioma compared to healthy pleura and other lung diseases. Clinical Epigenetics. 16(1). 176–176. 1 indexed citations
7.
Dijck, Anke Van, Joe Ibrahim, Ellen Elinck, et al.. (2024). ADNP dysregulates methylation and mitochondrial gene expression in the cerebellum of a Helsmoortel–Van der Aa syndrome autopsy case. Acta Neuropathologica Communications. 12(1). 62–62. 9 indexed citations
8.
Ibrahim, Joe, Ligia Mateiu, Tim De Pooter, et al.. (2023). Mitochondrial GpC and CpG DNA Hypermethylation Cause Metabolic Stress-Induced Mitophagy and Cholestophagy. International Journal of Molecular Sciences. 24(22). 16412–16412. 10 indexed citations
9.
10.
Ibrahim, Joe, Marc Peeters, Guy Van Camp, & Ken Op de Beeck. (2022). Methylation biomarkers for early cancer detection and diagnosis: Current and future perspectives. European Journal of Cancer. 178. 91–113. 63 indexed citations
11.
Ibrahim, Joe, Ken Op de Beeck, Erik Fransén, Marc Peeters, & Guy Van Camp. (2022). Genome‐wide DNA methylation profiling and identification of potential pan‐cancer and tumor‐specific biomarkers. Molecular Oncology. 16(12). 2432–2447. 26 indexed citations
12.
Ibrahim, Joe, et al.. (2021). GSDME: A Potential Ally in Cancer Detection and Treatment. Trends in cancer. 7(5). 392–394. 32 indexed citations
13.
Ridder, R. de, Eveline Boudin, M. Carola Zillikens, et al.. (2020). A multi-omics approach expands the mutational spectrum of MAP2K1-related melorheostosis. Bone. 137. 115406–115406. 7 indexed citations
14.
Croes, Lieselot, Joe Ibrahim, Patrick Pauwels, et al.. (2020). GSDME and its role in cancer: From behind the scenes to the front of the stage. International Journal of Cancer. 148(12). 2872–2883. 72 indexed citations
15.
Ibrahim, Joe, Ken Op de Beeck, Erik Fransén, et al.. (2019). Methylation analysis of Gasdermin E shows great promise as a biomarker for colorectal cancer. Cancer Medicine. 8(5). 2133–2145. 64 indexed citations
16.
Croes, Lieselot, Matthias Beyens, Erik Fransén, et al.. (2018). Large-scale analysis of DFNA5 methylation reveals its potential as biomarker for breast cancer. Clinical Epigenetics. 10(1). 51–51. 91 indexed citations
17.
Ibrahim, Joe, Jonathan A. Eisen, Guillaume Jospin, et al.. (2016). Genome Analysis of Streptococcus pyogenes Associated with Pharyngitis and Skin Infections. PLoS ONE. 11(12). e0168177–e0168177. 18 indexed citations
18.
Tokajian, Sima, et al.. (2016). 16S–23S rRNA Gene Intergenic Spacer Region Variability Helps Resolve Closely Related Sphingomonads. Frontiers in Microbiology. 7. 149–149. 11 indexed citations
19.
Tokajian, Sima, Jonathan A. Eisen, Guillaume Jospin, et al.. (2016). Draft Genome Sequences of Acinetobacter baumannii Strains Harboring the bla NDM-1 Gene Isolated in Lebanon from Civilians Wounded during the Syrian Civil War. Genome Announcements. 4(1). 7 indexed citations
20.
Ibrahim, Joe, et al.. (2015). Folliculogenesis and Oocyte Quality in Awassi Sheep. The FASEB Journal. 29(S1).

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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