Gilbert J. Rahme

3.4k total citations
20 papers, 501 citations indexed

About

Gilbert J. Rahme is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gilbert J. Rahme has authored 20 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Gilbert J. Rahme's work include Glioma Diagnosis and Treatment (8 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (3 papers). Gilbert J. Rahme is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (3 papers). Gilbert J. Rahme collaborates with scholars based in United States, Lebanon and Israel. Gilbert J. Rahme's co-authors include Mark A. Israel, Henry N. Higgs, Vinay Ramabhadran, Farida Korobova, B Bernstein, Zhonghua Zhang, Chao Cheng, Volker Hovestadt, Bryan W. Luikart and Steven Fiering and has published in prestigious journals such as Cell, Molecular Cell and PLoS ONE.

In The Last Decade

Gilbert J. Rahme

19 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gilbert J. Rahme 333 121 108 98 88 20 501
Manabu Onishi 242 0.7× 134 1.1× 157 1.5× 76 0.8× 48 0.5× 14 425
Talha Anwar 320 1.0× 129 1.1× 83 0.8× 176 1.8× 56 0.6× 15 542
Holger Weishaupt 393 1.2× 90 0.7× 142 1.3× 94 1.0× 116 1.3× 26 571
Andrew S. Gilder 276 0.8× 147 1.2× 53 0.5× 79 0.8× 121 1.4× 16 517
Diane D. Mao 242 0.7× 104 0.9× 128 1.2× 150 1.5× 102 1.2× 16 482
Alina Filatova 276 0.8× 176 1.5× 78 0.7× 117 1.2× 39 0.4× 14 422
Young-Woo Sohn 366 1.1× 227 1.9× 154 1.4× 182 1.9× 60 0.7× 13 574
Hye-Min Jeon 332 1.0× 236 2.0× 135 1.3× 192 2.0× 62 0.7× 10 544
Daniel Hägerstrand 253 0.8× 168 1.4× 131 1.2× 176 1.8× 109 1.2× 16 482
Zhuanyi Yang 333 1.0× 205 1.7× 158 1.5× 153 1.6× 32 0.4× 39 573

Countries citing papers authored by Gilbert J. Rahme

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert J. Rahme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilbert J. Rahme. 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 Gilbert J. Rahme. The network helps show where Gilbert J. Rahme may publish in the future.

Co-authorship network of co-authors of Gilbert J. Rahme

This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert J. Rahme. A scholar is included among the top collaborators of Gilbert J. Rahme 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 Gilbert J. Rahme. Gilbert J. Rahme 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.
Kim, Kyung Lock, Gilbert J. Rahme, Viraat Y. Goel, et al.. (2024). Dissection of a CTCF topological boundary uncovers principles of enhancer-oncogene regulation. Molecular Cell. 84(7). 1365–1376.e7. 10 indexed citations
2.
3.
Rahme, Gilbert J., et al.. (2023). Modeling epigenetic lesions that cause gliomas. Cell. 186(17). 3674–3685.e14. 44 indexed citations
4.
Downey-Kopyscinski, Sondra L., Jennifer Fields, Gilbert J. Rahme, et al.. (2021). Activity of immunoproteasome inhibitor ONX-0914 in acute lymphoblastic leukemia expressing MLL–AF4 fusion protein. Scientific Reports. 11(1). 10883–10883. 30 indexed citations
5.
Kim, Kyung Lock, Peter van Galen, Volker Hovestadt, et al.. (2021). Systematic detection of m6A-modified transcripts at single-molecule and single-cell resolution. Cell Reports Methods. 1(5). 100061–100061. 10 indexed citations
6.
Wu, Jingyi, Gilbert J. Rahme, Sofia Battaglia, et al.. (2020). Parallel Single-Cell RNA-Seq and Genetic Recording Reveals Lineage Decisions in Developing Embryoid Bodies. Cell Reports. 33(1). 108222–108222. 18 indexed citations
7.
Rahme, Gilbert J., Edmond Chipumuro, Julia F. Litzky, et al.. (2017). MiR-338-3p regulates neuronal maturation and suppresses glioblastoma proliferation. PLoS ONE. 12(5). e0177661–e0177661. 33 indexed citations
8.
Zhang, Zhonghua, et al.. (2017). ID2 promotes survival of glioblastoma cells during metabolic stress by regulating mitochondrial function. Cell Death and Disease. 8(2). e2615–e2615. 27 indexed citations
9.
Rahme, Gilbert J., Bryan W. Luikart, Chao Cheng, & Mark A. Israel. (2017). A recombinant lentiviral PDGF-driven mouse model of proneural glioblastoma. Neuro-Oncology. 20(3). 332–342. 17 indexed citations
10.
Rahme, Gilbert J., Zhonghua Zhang, Alison L. Young, et al.. (2016). PDGF Engages an E2F-USP1 Signaling Pathway to Support ID2-Mediated Survival of Proneural Glioma Cells. Cancer Research. 76(10). 2964–2976. 30 indexed citations
11.
Thomas, Alissa A., Jan L. Fisher, Thomas H. Hampton, et al.. (2016). Immune modulation associated with vascular endothelial growth factor (VEGF) blockade in patients with glioblastoma. Cancer Immunology Immunotherapy. 66(3). 379–389. 20 indexed citations
12.
Glod, John, Gilbert J. Rahme, Harpreet Kaur, et al.. (2016). Pediatric Brain Tumors: Current Knowledge and Therapeutic Opportunities. Journal of Pediatric Hematology/Oncology. 38(4). 249–260. 24 indexed citations
13.
Thomas, Alissa A., James L. Fisher, Gilbert J. Rahme, et al.. (2015). Regulatory T cells are not a strong predictor of survival for patients with glioblastoma. Neuro-Oncology. 17(6). 801–809. 46 indexed citations
14.
Rahme, Gilbert J. & Mark A. Israel. (2014). Id4 suppresses MMP2-mediated invasion of glioblastoma-derived cells by direct inactivation of Twist1 function. Oncogene. 34(1). 53–62. 54 indexed citations
15.
Mao, Pingping, Gilbert J. Rahme, Eric C. Yang, et al.. (2014). Abstract 4605: STK17A is a potential therapeutic target in glioblastoma. Cancer Research. 74(19_Supplement). 4605–4605. 1 indexed citations
16.
Mao, Pingping, Gilbert J. Rahme, Eric C. Yang, et al.. (2013). Serine/Threonine Kinase 17A Is a Novel Candidate for Therapeutic Targeting in Glioblastoma. PLoS ONE. 8(11). e81803–e81803. 26 indexed citations
17.
Talhouk, Rabih, Mohamed-Bilal Fares, Gilbert J. Rahme, et al.. (2013). Context dependent reversion of tumor phenotype by connexin-43 expression in MDA-MB231 cells and MCF-7 cells: Role of β-catenin/connexin43 association. Experimental Cell Research. 319(20). 3065–3080. 38 indexed citations
18.
Rahme, Gilbert J. & Mark A. Israel. (2013). Abstract 4931: Inhibitor of DNA binding 4 (Id4) suppresses MMP2 mediated invasion of glioblastoma-derived cells by direct inactivation of twist-1 function.. Cancer Research. 73(8_Supplement). 4931–4931. 1 indexed citations
19.
Ramabhadran, Vinay, Farida Korobova, Gilbert J. Rahme, & Henry N. Higgs. (2011). Splice variant–specific cellular function of the formin INF2 in maintenance of Golgi architecture. Molecular Biology of the Cell. 22(24). 4822–4833. 69 indexed citations
20.
Talhouk, Rabih, et al.. (2011). Gap junctions mediate STAT5-independent β-casein expression in CID-9 mammary epithelial cells. Cell Communication & Adhesion. 18(5). 104–116. 3 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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