Maha Ibrahim

435 total citations
10 papers, 200 citations indexed

About

Maha Ibrahim is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Maha Ibrahim has authored 10 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Maha Ibrahim's work include Sphingolipid Metabolism and Signaling (3 papers), Immune Cell Function and Interaction (3 papers) and Viral-associated cancers and disorders (2 papers). Maha Ibrahim is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Immune Cell Function and Interaction (3 papers) and Viral-associated cancers and disorders (2 papers). Maha Ibrahim collaborates with scholars based in United Kingdom, Malaysia and Egypt. Maha Ibrahim's co-authors include Paul G. Murray, Wenbin Wei, Lee Fah Yap, Ian C. Paterson, Katerina Vrzalikova, William O. Dawson, Sai Wah Tsao, Martina Vockerodt, Ivy Chung and Kwok Wai Lo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Journal of Pathology.

In The Last Decade

Maha Ibrahim

10 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maha Ibrahim United Kingdom 8 109 67 50 42 35 10 200
Naoko Nakano Japan 9 241 2.2× 58 0.9× 34 0.7× 56 1.3× 18 0.5× 10 308
I Radke Germany 7 198 1.8× 85 1.3× 54 1.1× 60 1.4× 66 1.9× 12 308
Liwen Bao China 7 207 1.9× 135 2.0× 41 0.8× 88 2.1× 23 0.7× 17 344
Junyu Tan China 8 269 2.5× 95 1.4× 39 0.8× 102 2.4× 23 0.7× 11 348
PengXin Zhang China 9 261 2.4× 97 1.4× 39 0.8× 55 1.3× 46 1.3× 31 386
Wiebke Antonopoulos Germany 8 107 1.0× 81 1.2× 17 0.3× 40 1.0× 18 0.5× 11 206
Carolina Salinas-Souza Brazil 6 111 1.0× 70 1.0× 15 0.3× 73 1.7× 18 0.5× 12 221
Jackson O. Pemberton United States 6 287 2.6× 151 2.3× 31 0.6× 58 1.4× 26 0.7× 6 359
Tanis Godwin New Zealand 8 173 1.6× 82 1.2× 22 0.4× 46 1.1× 17 0.5× 10 244
Sofia M.E. Weiler Germany 8 178 1.6× 52 0.8× 113 2.3× 48 1.1× 40 1.1× 11 263

Countries citing papers authored by Maha Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Maha Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maha Ibrahim

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

All Works

10 of 10 papers shown
1.
Badary, Dalia M., Hisham Abou-Taleb, & Maha Ibrahim. (2023). Hypoxia-inducible Factor-1α and mTOR as a Potential Therapeutic Target in Endometriosis: An Immunohistochemical Study. Applied immunohistochemistry & molecular morphology. 31(9). 629–634. 6 indexed citations
3.
Hejmadi, Rahul, Matthew Pugh, Sundaresan Rajesh, et al.. (2021). Tetraspanin 6 is a regulator of carcinogenesis in colorectal cancer. Proceedings of the National Academy of Sciences. 118(39). 25 indexed citations
4.
Tan, May, Max Robinson, Maha Ibrahim, et al.. (2019). Collagen Induces a More Proliferative, Migratory and Chemoresistant Phenotype in Head and Neck Cancer via DDR1. Cancers. 11(11). 1766–1766. 43 indexed citations
5.
Vrzalikova, Katerina, Maha Ibrahim, Eszter Nagy, et al.. (2018). Co-Expression of the Epstein-Barr Virus-Encoded Latent Membrane Proteins and the Pathogenesis of Classic Hodgkin Lymphoma. Cancers. 10(9). 285–285. 20 indexed citations
6.
Lo, Kwok Wai, Wenbin Wei, Sai Wah Tsao, et al.. (2017). Oncogenic S1P signalling in EBV‐associated nasopharyngeal carcinoma activates AKT and promotes cell migration through S1P receptor 3. The Journal of Pathology. 242(1). 62–72. 33 indexed citations
7.
Lopes, Victor, Wenbin Wei, Maha Ibrahim, et al.. (2016). Aberrant expression of the S1P regulating enzymes, SPHK1 and SGPL1, contributes to a migratory phenotype in OSCC mediated through S1PR2. Scientific Reports. 6(1). 25650–25650. 36 indexed citations
8.
Gachechiladze, Mariam, Jozef Škarda, Maha Ibrahim, et al.. (2014). Primitive neuroectodermal tumor (PNET) of the lung in an adult woman. World Journal of Surgical Oncology. 12(1). 374–374. 10 indexed citations
9.
Yap, Lee Fah, Selvam Thavaraj, Pathmanathan Rajadurai, et al.. (2014). Down‐regulation of LPA receptor 5 contributes to aberrant LPA signalling in EBV‐associated nasopharyngeal carcinoma. The Journal of Pathology. 235(3). 456–465. 16 indexed citations
10.
Flear, C.T.G., et al.. (1952). Renal Tubular Reabsorption. Acta Medica Scandinavica. 143(5). 361–364. 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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