Abdelilah Ibrahimi

853 total citations
16 papers, 622 citations indexed

About

Abdelilah Ibrahimi is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Abdelilah Ibrahimi has authored 16 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Abdelilah Ibrahimi's work include Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (4 papers) and CRISPR and Genetic Engineering (3 papers). Abdelilah Ibrahimi is often cited by papers focused on Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (4 papers) and CRISPR and Genetic Engineering (3 papers). Abdelilah Ibrahimi collaborates with scholars based in Belgium, United States and India. Abdelilah Ibrahimi's co-authors include Veerle Baekelandt, Zeger Debyser, Rik Gijsbers, Jaan Toelen, Christophe M. Deroose, Greetje Vande Velde, Danny Huylebroeck, Guy Bormans, Caroline Vandeputte and Veerle Reumers and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Abdelilah Ibrahimi

16 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdelilah Ibrahimi Belgium 10 352 99 74 72 71 16 622
Hiroya Kuwahara Japan 15 510 1.4× 92 0.9× 136 1.8× 61 0.8× 87 1.2× 62 926
Gennadiy Bondarenko United States 11 397 1.1× 67 0.7× 131 1.8× 53 0.7× 48 0.7× 19 672
Ariane Söling Germany 15 426 1.2× 125 1.3× 153 2.1× 61 0.8× 87 1.2× 26 731
Jessica Flippin United States 7 626 1.8× 75 0.8× 43 0.6× 83 1.2× 59 0.8× 9 789
Sónia Duarte Portugal 11 324 0.9× 136 1.4× 51 0.7× 58 0.8× 29 0.4× 15 472
Roberto Villaseñor Switzerland 13 553 1.6× 43 0.4× 96 1.3× 87 1.2× 91 1.3× 19 984
Laëtitia Aubry France 11 518 1.5× 64 0.6× 58 0.8× 263 3.7× 61 0.9× 16 751
Chun Ren Lim Japan 13 404 1.1× 51 0.5× 32 0.4× 76 1.1× 28 0.4× 18 591
Carrie A. Ambler United Kingdom 16 755 2.1× 68 0.7× 137 1.9× 96 1.3× 52 0.7× 26 1.3k
Giulia Guidotti Italy 8 794 2.3× 88 0.9× 109 1.5× 68 0.9× 77 1.1× 9 1.1k

Countries citing papers authored by Abdelilah Ibrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Abdelilah Ibrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdelilah Ibrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Abdelilah Ibrahimi. A scholar is included among the top collaborators of Abdelilah Ibrahimi 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 Abdelilah Ibrahimi. Abdelilah Ibrahimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Welby, Sarah, et al.. (2020). Safety evaluation of adverse events following vaccination with Havrix, Engerix-B or Twinrix during pregnancy. Vaccine. 38(40). 6215–6223. 5 indexed citations
2.
Wolfs, Esther, Rik Gijsbers, Cindy Casteels, et al.. (2014). Optimization of Multimodal Imaging of Mesenchymal Stem Cells Using the Human Sodium Iodide Symporter for PET and Cerenkov Luminescence Imaging. PLoS ONE. 9(4). e94833–e94833. 29 indexed citations
3.
Aelvoet, Sarah‐Ann, Abdelilah Ibrahimi, Francesca Macchi, et al.. (2014). Noninvasive Bioluminescence Imaging of α-Synuclein Oligomerization in Mouse Brain Using Split Firefly Luciferase Reporters. Journal of Neuroscience. 34(49). 16518–16532. 20 indexed citations
4.
Roobrouck, Valerie D., Tom Struys, Terry C. Burns, et al.. (2014). Controlling and Monitoring Stem Cell Safety In Vivo in an Experimental Rodent Model. Stem Cells. 32(11). 2833–2844. 13 indexed citations
5.
Sprangers, Ben, Omer Rutgeerts, Abdelilah Ibrahimi, et al.. (2013). Recipient leukocyte infusion enhances the local and systemic graft-versus-neuroblastoma effect of allogeneic bone marrow transplantation in mice. Cancer Immunology Immunotherapy. 62(11). 1733–1744. 7 indexed citations
6.
Deroose, Christophe M., Satish K. Chitneni, Rik Gijsbers, et al.. (2012). Preliminary validation of varicella zoster virus thymidine kinase as a novel reporter gene for PET. Nuclear Medicine and Biology. 39(8). 1266–1274. 8 indexed citations
7.
Saint‐Hubert, Marijke De, Ellen Devos, Abdelilah Ibrahimi, et al.. (2012). Bioluminescence imaging of therapy response does not correlate with FDG-PET response in a mouse model of Burkitt lymphoma.. PubMed. 2(3). 353–61. 6 indexed citations
8.
Velde, Greetje Vande, Janaki Raman Rangarajan, Jaan Toelen, et al.. (2011). Evaluation of the specificity and sensitivity of ferritin as an MRI reporter gene in the mouse brain using lentiviral and adeno-associated viral vectors. Gene Therapy. 18(6). 594–605. 56 indexed citations
9.
Vandeputte, Caroline, Nele Evens, Jaan Toelen, et al.. (2011). A PET Brain Reporter Gene System Based on Type 2 Cannabinoid Receptors. Journal of Nuclear Medicine. 52(7). 1102–1109. 43 indexed citations
10.
Lobbestael, Evy, Veerle Reumers, Abdelilah Ibrahimi, et al.. (2010). Immunohistochemical detection of transgene expression in the brain using small epitope tags. BMC Biotechnology. 10(1). 16–16. 34 indexed citations
11.
Celen, Sofie, Christophe M. Deroose, Tjibbe de Groot, et al.. (2009). Synthesis and biological evaluation of 11C-labeled β-galactosyl triazoles as potential PET tracers for in vivo LacZ reporter gene imaging. Bioorganic & Medicinal Chemistry. 17(14). 5117–5125. 9 indexed citations
12.
Vermeire, Liesbeth, Abdelilah Ibrahimi, Thierry Voet, et al.. (2009). Essential validation of gene trap mouse ES cell lines: a test case with the gene Ttrap. The International Journal of Developmental Biology. 53(7). 1045–1051. 4 indexed citations
13.
Bergwerf, Irene, Nathalie De Vocht, Bart Tambuyzer, et al.. (2009). Reporter gene-expressing bone marrow-derived stromal cells are immune-tolerated following implantation in the central nervous system of syngeneic immunocompetent mice. BMC Biotechnology. 9(1). 1–1. 115 indexed citations
14.
Ibrahimi, Abdelilah, Greetje Vande Velde, Veerle Reumers, et al.. (2009). Highly Efficient Multicistronic Lentiviral Vectors with Peptide 2A Sequences. Human Gene Therapy. 20(8). 845–860. 119 indexed citations
15.
Esguerra, Camila V., L Nelles, Liesbeth Vermeire, et al.. (2007). Ttrap is an essential modulator of Smad3-dependent Nodal signaling during zebrafish gastrulation and left-right axis determination. Development. 134(24). 4381–4393. 38 indexed citations
16.
Pype, Stefan, Wim Declercq, Abdelilah Ibrahimi, et al.. (2000). TTRAP, a Novel Protein That Associates with CD40, Tumor Necrosis Factor (TNF) Receptor-75 and TNF Receptor-associated Factors (TRAFs), and That Inhibits Nuclear Factor-κB Activation. Journal of Biological Chemistry. 275(24). 18586–18593. 116 indexed citations

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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