Mohamed El‐Far

5.2k total citations · 1 hit paper
97 papers, 3.8k citations indexed

About

Mohamed El‐Far is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Mohamed El‐Far has authored 97 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 28 papers in Virology and 21 papers in Molecular Biology. Recurrent topics in Mohamed El‐Far's work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (22 papers) and HIV-related health complications and treatments (13 papers). Mohamed El‐Far is often cited by papers focused on HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (22 papers) and HIV-related health complications and treatments (13 papers). Mohamed El‐Far collaborates with scholars based in Canada, Egypt and United States. Mohamed El‐Far's co-authors include Jean‐Pierre Routy, Rafick‐Pierre Sékaly, Petronela Ancuța, Nicolas Chomont, Mohamed‐Rachid Boulassel, Lydie Trautmann, Francesco A. Procopio, Bader Yassine‐Diab, Daniel C. Douek and Brenna J. Hill and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mohamed El‐Far

94 papers receiving 3.8k citations

Hit Papers

HIV reservoir size and persistence are driven by T cell s... 2009 2026 2014 2020 2009 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HIV reservoir size and persistence are driven by T cell survival and homeostatic proliferation
    2009 1.3k citations Nicolas Chomont, Mohamed El‐Far et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed El‐Far Canada 25 2.1k 1.8k 1.1k 688 654 97 3.8k
Elisa Vicenzi Italy 36 1.8k 0.9× 2.0k 1.1× 1.2k 1.1× 983 1.4× 783 1.2× 136 4.2k
Michael Schindler Germany 34 2.2k 1.1× 1.6k 0.9× 1.2k 1.1× 945 1.4× 962 1.5× 122 4.1k
Qingsheng Li United States 29 2.4k 1.1× 1.7k 1.0× 1.2k 1.0× 914 1.3× 640 1.0× 90 3.8k
Thomas Harrer Germany 33 1.5k 0.7× 1.6k 0.9× 1.2k 1.1× 510 0.7× 1.1k 1.7× 114 3.8k
Steven E. Bosinger United States 31 1.3k 0.6× 1.6k 0.9× 656 0.6× 736 1.1× 745 1.1× 92 3.2k
Ven Natarajan United States 26 1.7k 0.8× 892 0.5× 1.2k 1.0× 531 0.8× 436 0.7× 56 2.6k
Marie‐Lise Gougeon France 40 1.9k 0.9× 2.9k 1.6× 988 0.9× 1.1k 1.6× 1.5k 2.2× 111 5.6k
Wei Shao United States 36 2.9k 1.4× 901 0.5× 2.1k 1.9× 614 0.9× 1.1k 1.7× 86 4.1k
Georges Herbein France 46 2.3k 1.1× 2.4k 1.3× 1.3k 1.2× 1.7k 2.5× 1.4k 2.2× 132 6.2k
Pierre Corbeau France 29 1.6k 0.8× 1.1k 0.6× 819 0.7× 463 0.7× 1.2k 1.8× 93 3.2k

Countries citing papers authored by Mohamed El‐Far

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed El‐Far

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed El‐Far. 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 Mohamed El‐Far. The network helps show where Mohamed El‐Far may publish in the future.

Co-authorship network of co-authors of Mohamed El‐Far

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed El‐Far. A scholar is included among the top collaborators of Mohamed El‐Far 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 Mohamed El‐Far. Mohamed El‐Far 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.
Salinas, Tomas Raul Wiche, Yuwei Zhang, Annie Gosselin, et al.. (2024). Alterations in Th17 Cells and Non-Classical Monocytes as a Signature of Subclinical Coronary Artery Atherosclerosis during ART-Treated HIV-1 Infection. Cells. 13(2). 157–157. 5 indexed citations
2.
El‐Far, Mohamed, et al.. (2023). Novel highly effective combination of naturally-derived quercetin and ascorbyl palmitate and their nanoformulations as an advancement therapy of cancer. Journal of Drug Delivery Science and Technology. 83. 104405–104405. 2 indexed citations
3.
Cardinal, Marie‐Hélène Roy, Madéleine Durand, Carl Chartrand‐Lefebvre, et al.. (2023). Differential Impact of IL-32 Isoforms on the Functions of Coronary Artery Endothelial Cells: A Potential Link with Arterial Stiffness and Atherosclerosis. Viruses. 15(3). 700–700. 4 indexed citations
4.
El‐Far, Mohamed, et al.. (2022). Newly Modified Nanoformulation of Quercetin as Promising Chemotherapeutic Anticancer Agent. Biointerface Research in Applied Chemistry. 13(4). 387–387. 2 indexed citations
5.
Isnard, Stéphane, Léna Royston, John Lin, et al.. (2022). Distinct Plasma Concentrations of Acyl-CoA-Binding Protein (ACBP) in HIV Progressors and Elite Controllers. Viruses. 14(3). 453–453. 6 indexed citations
6.
El‐Far, Mohamed, et al.. (2022). Potential use of nanoformulated ascorbyl palmitate as a promising anticancer agent: First comparative assessment between nano and free forms. Journal of Drug Delivery Science and Technology. 78. 103920–103920. 6 indexed citations
7.
Salinas, Tomas Raul Wiche, Annie Gosselin, Olivier Tastet, et al.. (2021). IL-17A reprograms intestinal epithelial cells to facilitate HIV-1 replication and outgrowth in CD4+ T cells. iScience. 24(11). 103225–103225. 5 indexed citations
8.
Fromentin, Rémi, Sandrina DaFonseca, Cecilia T. Costiniuk, et al.. (2019). PD-1 blockade potentiates HIV latency reversal ex vivo in CD4+ T cells from ART-suppressed individuals. Nature Communications. 10(1). 814–814. 152 indexed citations
9.
Attallah, Abdelfattah M., Mohamed El‐Far, Mohamed F. Ghaly, et al.. (2017). Circulating levels of collagen III and MMP-1 in patients with chronic hepatitis C co-infected with hepatitis B virus. British Journal of Biomedical Science. 74(2). 95–100. 3 indexed citations
10.
El‐Far, Mohamed, et al.. (2017). Combined use of nuclear phosphoprotein c-Myc and cellular phosphoprotein p53 for hepatocellular carcinoma detection in high-risk chronic hepatitis C patients. British Journal of Biomedical Science. 74(4). 170–175. 9 indexed citations
11.
Dagenais-Lussier, Xavier, Vikram Mehraj, Mohamed El‐Far, et al.. (2016). Kynurenine Reduces Memory CD4 T-Cell Survival by Interfering with Interleukin-2 Signaling Early during HIV-1 Infection. Journal of Virology. 90(17). 7967–7979. 47 indexed citations
12.
Dagenais-Lussier, Xavier, Mohamed El‐Far, Vikram Mehraj, et al.. (2016). Current topics in HIV pathogenesis, part 2: Inflammation drives a Warburg-like effect on the metabolism of HIV-infected subjects. Cytokine & Growth Factor Reviews. 28. 1–10. 31 indexed citations
13.
El‐Far, Mohamed, et al.. (2016). ANTIOXIDANT THERAPEUTIC ACTIONS OF MEDICINAL PHYTOCHEMICALS, SILYMARIN AND SILIBININ, ON STREPTOZOTOCIN DIABETIC RATS: FIRST NOVEL COMPARATIVE ASSESSMENT OF STRUCTURAL RECOVERIES OF HISTOLOGICAL AND ULTRASTRUCTURAL CHANGES ON ISLETS OF LANGERHANS, Β-CELLS, MITOCHONDRIA AND NUCLEUS. International Journal of Pharmacy and Pharmaceutical Sciences. 8(4). 69–76. 3 indexed citations
14.
Dagenais-Lussier, Xavier, Jean‐Pierre Routy, Cécile Tremblay, et al.. (2015). Current topics in HIV-1 pathogenesis: The emergence of deregulated immuno-metabolism in HIV-infected subjects. Cytokine & Growth Factor Reviews. 26(6). 603–613. 34 indexed citations
15.
Attallah, Abdelfattah M., Mohamed El‐Far, Mohamed M. Omran, et al.. (2015). A simple diagnostic index comprising epithelial membrane antigen and fibronectin for hepatocellular carcinoma. Annals of Hepatology. 14(6). 869–880. 25 indexed citations
16.
El‐Far, Mohamed, Charles Pellerin, Louise Pilote, et al.. (2014). CD160 isoforms and regulation of CD4 and CD8 T-cell responses. Journal of Translational Medicine. 12(1). 217–217. 20 indexed citations
17.
El‐Far, Mohamed, Denis Gaucher, Oreste Acuto, et al.. (2012). A conserved polylysine motif in CD86 cytoplasmic tail is necessary for cytoskeletal association and effective co-stimulation. Biochemical and Biophysical Research Communications. 423(2). 301–307. 7 indexed citations
18.
Peretz, Yoav, Zhong He, Yu Shi, et al.. (2012). CD160 and PD-1 Co-Expression on HIV-Specific CD8 T Cells Defines a Subset with Advanced Dysfunction. PLoS Pathogens. 8(8). e1002840–e1002840. 121 indexed citations
19.
El‐Far, Mohamed, et al.. (2009). Preclinical biochemical studies using a novel 5-aminolevulinic acid ester derivative with superior properties for photodynamic therapy of tumors. International Journal of Medicine and Medical Sciences. 1(7). 278–287. 1 indexed citations
20.
Gosselin, Annie, Patricia Monteiro, Nicolas Chomont, et al.. (2009). Peripheral Blood CCR4+CCR6+ and CXCR3+CCR6+ CD4+ T Cells Are Highly Permissive to HIV-1 Infection. The Journal of Immunology. 184(3). 1604–1616. 258 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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