Ridha Limame

1.0k total citations
17 papers, 774 citations indexed

About

Ridha Limame is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ridha Limame has authored 17 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Genetics. Recurrent topics in Ridha Limame's work include Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related Molecular Pathways (3 papers). Ridha Limame is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (3 papers) and Cancer-related Molecular Pathways (3 papers). Ridha Limame collaborates with scholars based in Belgium, France and United States. Ridha Limame's co-authors include Olivier De Wever, Filip Lardon, Patrick Pauwels, Marc Peeters, An Wouters, Steven Van Laere, Luc Dirix, Bea Pauwels, Erik Fransén and Peter A. van Dam and has published in prestigious journals such as Neuron, PLoS ONE and Cancer.

In The Last Decade

Ridha Limame

17 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ridha Limame Belgium	12	453	273	265	76	68	17	774
Jinhuang Chen China	17	641 1.4×	369 1.4×	332 1.3×	64 0.8×	102 1.5×	30	953
Patrycja Pawlikowska France	15	391 0.9×	137 0.5×	177 0.7×	61 0.8×	59 0.9×	24	682
Christopher R. Shepard United States	4	412 0.9×	190 0.7×	411 1.6×	67 0.9×	112 1.6×	4	735
Anna M. Chiarella United States	8	652 1.4×	282 1.0×	322 1.2×	114 1.5×	149 2.2×	13	967
Christine Mehner United States	14	423 0.9×	284 1.0×	339 1.3×	96 1.3×	77 1.1×	23	849
Maike Busch Germany	13	465 1.0×	148 0.5×	208 0.8×	78 1.0×	89 1.3×	40	819
Christine M. Coticchia United States	13	762 1.7×	403 1.5×	178 0.7×	70 0.9×	77 1.1×	19	986
Vida Vafaizadeh Germany	17	675 1.5×	334 1.2×	409 1.5×	148 1.9×	67 1.0×	25	1.1k
Mahak Singhal Germany	14	506 1.1×	302 1.1×	321 1.2×	128 1.7×	86 1.3×	18	884

Countries citing papers authored by Ridha Limame

Since Specialization

Citations

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

Fields of papers citing papers by Ridha Limame

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ridha Limame

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

All Works

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17 of 17 papers shown

Libé‐Philippot, Baptiste, Ryohei Iwata, Keimpe Wierda, et al.. (2024). Synaptic neoteny of human cortical neurons requires species-specific balancing of SRGAP2-SYNGAP1 cross-inhibition. Neuron. 112(21). 3602–3617.e9. 4 indexed citations

Liu, Tengyuan, Azadeh Saffarian, Jun Komatsu, et al.. (2023). The temporal balance between self-renewal and differentiation of human neural stem cells requires the amyloid precursor protein. Science Advances. 9(24). eadd5002–eadd5002. 7 indexed citations

Boeckx, Carolien, Ken Op de Beeck, Ridha Limame, et al.. (2015). Establishment and characterization of cetuximab resistant head and neck squamous cell carcinoma cell lines: focus on the contribution of the AP-1 transcription factor.. PubMed Central. 5(6). 1921–38. 24 indexed citations

Lapeire, Lore, An Hendrix, Kathleen Lambein, et al.. (2014). Cancer-Associated Adipose Tissue Promotes Breast Cancer Progression by Paracrine Oncostatin M and Jak/STAT3 Signaling. Cancer Research. 74(23). 6806–6819. 116 indexed citations

Eynden, Gert Van den, Ridha Limame, Patrick Neven, et al.. (2014). A Core Invasiveness Gene Signature Reflects Epithelial-to-Mesenchymal Transition but Not Metastatic Potential in Breast Cancer Cell Lines and Tissue Samples. PLoS ONE. 9(2). e89262–e89262. 10 indexed citations

Boeckx, Carolien, Ken Op de Beeck, An Wouters, et al.. (2014). Overcoming cetuximab resistance in HNSCC: The role of AURKB and DUSP proteins. Cancer Letters. 354(2). 365–377. 51 indexed citations

Lapeire, Lore, An Hendrix, Kathleen Lambein, et al.. (2014). Cancer-associated adipose tissue promotes breast cancer progression by paracrine Oncostatin M and JAK3/STAT3 signaling. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

Bockstal, Mieke Van, Kathleen Lambein, Mireille Van Gele, et al.. (2014). Differential regulation of extracellular matrix protein expression in carcinoma-associated fibroblasts by TGF-β1 regulates cancer cell spreading but not adhesion. Oncoscience. 1(10). 634–648. 42 indexed citations

Limame, Ridha, Ken Op de Beeck, Steven Van Laere, et al.. (2014). Expression profiling of migrated and invaded breast cancer cells predicts early metastatic relapse and reveals Krüppel-like factor 9 as a potential suppressor of invasive growth in breast cancer. Oncoscience. 1(1). 69–81. 25 indexed citations

10.

Limame, Ridha, Ken Op de Beeck, Filip Lardon, Olivier De Wever, & Patrick Pauwels. (2013). Krüppel-like factors in cancer progression: three fingers on the steering wheel. Oncotarget. 5(1). 29–48. 54 indexed citations

11.

Limame, Ridha, An Wouters, Bea Pauwels, et al.. (2012). Comparative Analysis of Dynamic Cell Viability, Migration and Invasion Assessments by Novel Real-Time Technology and Classic Endpoint Assays. PLoS ONE. 7(10). e46536–e46536. 222 indexed citations

12.

Auwera, Ilse Van der, Ridha Limame, Peter A. van Dam, et al.. (2010). Integrated miRNA and mRNA expression profiling of the inflammatory breast cancer subtype. British Journal of Cancer. 103(4). 532–541. 108 indexed citations

13.

Laere, Steven Van, Ridha Limame, Eric A. Van Marck, Peter Vermeulen, & Luc Dirix. (2010). Is there a role for mammary stem cells in inflammatory breast carcinoma?. Cancer. 116(S11). 2794–2805. 27 indexed citations

14.

Auwera, Ilse Van der, Cecilia Svensson, Xuan Bich Trinh, et al.. (2010). Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients. BMC Cancer. 10(1). 97–97. 45 indexed citations

15.

Auwera, Ilse Van der, Cecilia Svensson, Ridha Limame, et al.. (2009). Quantitative assessment of DNA hypermethylation in the inflammatory and non-inflammatory breast cancer phenotypes. Cancer Biology & Therapy. 8(23). 2250–2257. 22 indexed citations

16.

Laere, Steven Van, Ines Deleu, Helgi van de Velde, et al.. (2009). A Phase II Study of the Combination of Endocrine Treatment and Bortezomib in Patients with Endocrine Resistant Metastatic Breast Cancer.. Cancer Research. 69(24_Supplement). 4099–4099. 15 indexed citations

17.

Auwera, Ilse Van der, Steven Van Laere, Ridha Limame, et al.. (2009). A microRNA Expression Profile Consisting of 12 microRNAs Is Associated with Inflammatory Breast Cancer.. Cancer Research. 69(24_Supplement). 6119–6119. 1 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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