Leila Mekkaoui

1.6k total citations
8 papers, 366 citations indexed

About

Leila Mekkaoui is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Leila Mekkaoui has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Leila Mekkaoui's work include Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Leila Mekkaoui is often cited by papers focused on Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Leila Mekkaoui collaborates with scholars based in United Kingdom, Italy and Belgium. Leila Mekkaoui's co-authors include Martin Pulé, Ronjon Chakraverty, Teresa Marafioti, David C. Linch, Virna Marin, Simon Thomas, Evangelia Kokalaki, Barry Flutter, Karin Straathof and Brian Philip and has published in prestigious journals such as Blood, Journal of Virology and Scientific Reports.

In The Last Decade

Leila Mekkaoui

8 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leila Mekkaoui United Kingdom 5 294 147 127 118 85 8 366
Andrew Worden United States 6 459 1.6× 165 1.1× 135 1.1× 157 1.3× 133 1.6× 9 519
Gray Kueberuwa United Kingdom 10 305 1.0× 133 0.9× 138 1.1× 95 0.8× 153 1.8× 22 397
Felipe Bedoya United States 8 324 1.1× 248 1.7× 116 0.9× 120 1.0× 210 2.5× 14 495
Jessica Perazzelli United States 6 364 1.2× 190 1.3× 129 1.0× 134 1.1× 120 1.4× 9 425
Hugo Calderón Spain 7 388 1.3× 199 1.4× 197 1.6× 103 0.9× 179 2.1× 13 524
Thomas Schaser Germany 10 275 0.9× 228 1.6× 206 1.6× 90 0.8× 71 0.8× 15 412
Vincent Allain France 9 231 0.8× 179 1.2× 99 0.8× 52 0.4× 81 1.0× 22 388
Andrea Brennan United States 6 356 1.2× 249 1.7× 195 1.5× 93 0.8× 202 2.4× 10 549
Christoph Priesner Germany 8 307 1.0× 137 0.9× 70 0.6× 64 0.5× 221 2.6× 13 423
Diane Le Clerre Netherlands 4 423 1.4× 312 2.1× 215 1.7× 131 1.1× 104 1.2× 4 540

Countries citing papers authored by Leila Mekkaoui

Since Specialization
Citations

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

Fields of papers citing papers by Leila Mekkaoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Mekkaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Mekkaoui. A scholar is included among the top collaborators of Leila Mekkaoui 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 Leila Mekkaoui. Leila Mekkaoui 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.
Mekkaoui, Leila, Christopher Allen, Jasmine Huang, et al.. (2023). Large-scale manufacturing of base-edited chimeric antigen receptor T cells. Molecular Therapy — Methods & Clinical Development. 31. 101123–101123. 6 indexed citations
2.
Mekkaoui, Leila, Emma Bentley, Mathieu Ferrari, et al.. (2021). Optimised Method for the Production and Titration of Lentiviral Vectors Pseudotyped with the SARS-CoV-2 Spike. BIO-PROTOCOL. 11(16). e4194–e4194. 3 indexed citations
3.
Ferrari, Mathieu, Leila Mekkaoui, Reyisa Bughda, et al.. (2021). Characterization of a Novel ACE2-Based Therapeutic with Enhanced Rather than Reduced Activity against SARS-CoV-2 Variants. Journal of Virology. 95(19). e0068521–e0068521. 25 indexed citations
4.
Nannini, Francesco, Patrycja Wawrzyniecka, Leila Mekkaoui, et al.. (2020). A primer set for the rapid isolation of scFv fragments against cell surface antigens from immunised rats. Scientific Reports. 10(1). 19168–19168. 4 indexed citations
5.
Mekkaoui, Leila, Ekaterini Kotsopoulou, David Darling, et al.. (2018). Lentiviral Vector Purification Using Genetically Encoded Biotin Mimic in Packaging Cell. Molecular Therapy — Methods & Clinical Development. 11. 155–165. 19 indexed citations
6.
Kramer, Anne Marijn, Sara Ghorashian, Gordon Weng-Kit Cheung, et al.. (2016). Construction and Pre-Clinical Evaluation of a New Anti-CD19 Chimeric Antigen Receptor. Blood. 128(22). 1627–1627. 3 indexed citations
7.
Mekkaoui, Leila, et al.. (2015). Use of CD 123 Expression on Blasts from AML, ALL and RAEB As Minimal Residual Disease Marker. Blood. 126(23). 5402–5402. 3 indexed citations
8.
Philip, Brian, Evangelia Kokalaki, Leila Mekkaoui, et al.. (2014). A highly compact epitope-based marker/suicide gene for easier and safer T-cell therapy. Blood. 124(8). 1277–1287. 303 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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