Mukarram El-Banna

749 total citations
8 papers, 571 citations indexed

About

Mukarram El-Banna is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Mukarram El-Banna has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Mukarram El-Banna's work include Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (6 papers) and Glycosylation and Glycoproteins Research (3 papers). Mukarram El-Banna is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Cellular transport and secretion (6 papers) and Glycosylation and Glycoproteins Research (3 papers). Mukarram El-Banna collaborates with scholars based in United States, France and Ireland. Mukarram El-Banna's co-authors include Peter Lobel, David E. Sleat, Jennifer A. Wiseman, Sandy M. Price, Michael M. Shen, Steven U. Walkley, Lucie Vérot, G S Tint, Marie T. Vanier and István Sohár and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Mukarram El-Banna

8 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukarram El-Banna United States 7 412 222 217 104 87 8 571
Jennifer A. Wiseman United States 8 383 0.9× 212 1.0× 216 1.0× 100 1.0× 86 1.0× 9 553
Kyle Peake Canada 11 355 0.9× 106 0.5× 173 0.8× 95 0.9× 104 1.2× 15 582
Amy Y. Huang United States 11 254 0.6× 238 1.1× 312 1.4× 95 0.9× 67 0.8× 13 645
Katrin Kollmann Germany 16 453 1.1× 393 1.8× 331 1.5× 224 2.2× 147 1.7× 20 830
Takanobu Otomo Japan 17 430 1.0× 236 1.1× 238 1.1× 182 1.8× 291 3.3× 34 746
Nina Aula Finland 8 353 0.9× 208 0.9× 258 1.2× 59 0.6× 50 0.6× 10 616
Kate Zhang United States 12 349 0.8× 156 0.7× 283 1.3× 23 0.2× 110 1.3× 29 639
Chan Chung United States 14 335 0.8× 101 0.5× 276 1.3× 132 1.3× 236 2.7× 18 692
Leanne K. Hein Australia 17 522 1.3× 193 0.9× 232 1.1× 59 0.6× 288 3.3× 34 734
Barbara Tappino Italy 10 180 0.4× 89 0.4× 161 0.7× 62 0.6× 84 1.0× 16 361

Countries citing papers authored by Mukarram El-Banna

Since Specialization
Citations

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

Fields of papers citing papers by Mukarram El-Banna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mukarram El-Banna. 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 Mukarram El-Banna. The network helps show where Mukarram El-Banna may publish in the future.

Co-authorship network of co-authors of Mukarram El-Banna

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

All Works

8 of 8 papers shown
1.
Sleat, David E., Jennifer A. Wiseman, Mukarram El-Banna, et al.. (2019). Analysis of Brain and Cerebrospinal Fluid from Mouse Models of the Three Major Forms of Neuronal Ceroid Lipofuscinosis Reveals Changes in the Lysosomal Proteome. Molecular & Cellular Proteomics. 18(11). 2244–2261. 30 indexed citations
2.
Wiseman, Jennifer A., et al.. (2018). Inducible transgenic expression of tripeptidyl peptidase 1 in a mouse model of late-infantile neuronal ceroid lipofuscinosis. PLoS ONE. 13(2). e0192286–e0192286. 3 indexed citations
3.
Sleat, David E., Pengling Sun, Jennifer A. Wiseman, et al.. (2013). Extending the Mannose 6-Phosphate Glycoproteome by High Resolution/Accuracy Mass Spectrometry Analysis of Control and Acid Phosphatase 5-Deficient Mice. Molecular & Cellular Proteomics. 12(7). 1806–1817. 41 indexed citations
4.
Sleat, David E., Jennifer A. Wiseman, István Sohár, et al.. (2012). Proteomic analysis of mouse models of Niemann‐Pick C disease reveals alterations in the steady‐state levels of lysosomal proteins within the brain. PROTEOMICS. 12(23-24). 3499–3509. 23 indexed citations
5.
Xu, Su, Lingling Wang, Mukarram El-Banna, et al.. (2011). Large-volume Intrathecal Enzyme Delivery Increases Survival of a Mouse Model of Late Infantile Neuronal Ceroid Lipofuscinosis. Molecular Therapy. 19(10). 1842–1848. 42 indexed citations
6.
Sleat, David E., Mukarram El-Banna, István Sohár, et al.. (2008). Residual levels of tripeptidyl-peptidase I activity dramatically ameliorate disease in late-infantile neuronal ceroid lipofuscinosis. Molecular Genetics and Metabolism. 94(2). 222–233. 42 indexed citations
7.
Sleat, David E., Jennifer A. Wiseman, Mukarram El-Banna, et al.. (2004). A Mouse Model of Classical Late-Infantile Neuronal Ceroid Lipofuscinosis Based on Targeted Disruption of the CLN2 Gene Results in a Loss of Tripeptidyl-Peptidase I Activity and Progressive Neurodegeneration. Journal of Neuroscience. 24(41). 9117–9126. 114 indexed citations
8.
Sleat, David E., Jennifer A. Wiseman, Mukarram El-Banna, et al.. (2004). Genetic evidence for nonredundant functional cooperativity between NPC1 and NPC2 in lipid transport. Proceedings of the National Academy of Sciences. 101(16). 5886–5891. 276 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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