Wassim Elyaman

7.7k total citations · 1 hit paper
66 papers, 5.0k citations indexed

About

Wassim Elyaman is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Wassim Elyaman has authored 66 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 18 papers in Molecular Biology and 17 papers in Neurology. Recurrent topics in Wassim Elyaman's work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (21 papers) and Neuroinflammation and Neurodegeneration Mechanisms (17 papers). Wassim Elyaman is often cited by papers focused on T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (21 papers) and Neuroinflammation and Neurodegeneration Mechanisms (17 papers). Wassim Elyaman collaborates with scholars based in United States, Lebanon and France. Wassim Elyaman's co-authors include Samia J. Khoury, Vijay K. Kuchroo, Elizabeth M. Bradshaw, Mohamed Oukka, Jaime Imitola, Jacques Hugon, Amit Awasthi, Valérie Dardalhon, Khadir Raddassi and Ribal Bassil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Wassim Elyaman

64 papers receiving 4.9k citations

Hit Papers

IL-4 inhibits TGF-β-induced Foxp3+ T cells and, together ... 2008 2026 2014 2020 2008 250 500 750

Peers

Wassim Elyaman
Chen Varol Israel
George Kassiotis United Kingdom
Ki-Wook Kim United States
Eva Tolosa Germany
Scott R. Barnum United States
Wassim Elyaman
Citations per year, relative to Wassim Elyaman Wassim Elyaman (= 1×) peers Yochai Wolf

Countries citing papers authored by Wassim Elyaman

Since Specialization
Citations

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

Fields of papers citing papers by Wassim Elyaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wassim Elyaman

This figure shows the co-authorship network connecting the top 25 collaborators of Wassim Elyaman. A scholar is included among the top collaborators of Wassim Elyaman 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 Wassim Elyaman. Wassim Elyaman 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.
Bradshaw, Elizabeth M., et al.. (2025). Multi‐omic Immune Cell Phenotypes Associate with Cortical Thickness and Cognition in a Multi‐Ethnic Cohort. Alzheimer s & Dementia. 21(S1). e107352–e107352.
2.
Elyaman, Wassim, Lawrence J. Stern, Ning Jiang, et al.. (2025). Exploring the role of T cells in Alzheimer's and other neurodegenerative diseases: Emerging therapeutic insights from the T Cells in the Brain symposium. Alzheimer s & Dementia. 21(2). e14548–e14548. 5 indexed citations
3.
Imitola, Jaime, Ethan W. Hollingsworth, Marta Olah, et al.. (2023). Stat1 is an inducible transcriptional repressor of neural stem cells self-renewal program during neuroinflammation. Frontiers in Cellular Neuroscience. 17. 1156802–1156802. 11 indexed citations
4.
Shneider, Neil A., Mengyuan Lyu, Wassim Elyaman, et al.. (2023). Immunotherapy: ADOPTIVE THERAPY WITH OFF THE SHELF, ALLOGENEIC, UMBILICAL CORD BLOOD, REGULATORY T CELLS SHOW SAFETY IN AMYOTROPHIC LATERAL SCLEROSIS. Cytotherapy. 25(6). S33–S34. 1 indexed citations
5.
Buttrick, Thomas, Maria Cimpean, David A. Bennett, et al.. (2022). Genotype–phenotype correlation of T-cell subtypes reveals senescent and cytotoxic genes in Alzheimer’s disease. Human Molecular Genetics. 31(19). 3355–3366. 5 indexed citations
6.
Connor, Sarah M., Mamunur Rashid, Katie J. Ryan, et al.. (2022). GW5074 Increases Microglial Phagocytic Activities: Potential Therapeutic Direction for Alzheimer’s Disease. Frontiers in Cellular Neuroscience. 16. 894601–894601. 8 indexed citations
7.
Ruan, Chun‐Sheng & Wassim Elyaman. (2022). A New Understanding of TMEM119 as a Marker of Microglia. Frontiers in Cellular Neuroscience. 16. 902372–902372. 54 indexed citations
8.
Frangieh, Michael, Allison McHenry, Roxanne Phillips, et al.. (2020). IL-27: An endogenous constitutive repressor of human monocytes. Clinical Immunology. 217. 108498–108498. 14 indexed citations
9.
Ruan, Chun‐Sheng, Linlin Sun, Alexandra Kroshilina, et al.. (2019). A novel Tmem119-tdTomato reporter mouse model for studying microglia in the central nervous system. Brain Behavior and Immunity. 83. 180–191. 55 indexed citations
10.
Olah, Marta, Ellis Patrick, Alexandra–Chloé Villani, et al.. (2018). A transcriptomic atlas of aged human microglia. Nature Communications. 9(1). 539–539. 322 indexed citations
11.
Ryan, Katie J., Charles C. White, K R Patel, et al.. (2017). A human microglia-like cellular model for assessing the effects of neurodegenerative disease gene variants. Science Translational Medicine. 9(421). 97 indexed citations
12.
Kurdi, Ahmed T., Ribal Bassil, Marta Olah, et al.. (2016). Tiam1/Rac1 complex controls Il17a transcription and autoimmunity. Nature Communications. 7(1). 13048–13048. 38 indexed citations
13.
Herter, Jan M., Nir Grabie, Xavier Culleré, et al.. (2015). AKAP9 regulates activation-induced retention of T lymphocytes at sites of inflammation. Nature Communications. 6(1). 10182–10182. 14 indexed citations
14.
Bassil, Ribal, et al.. (2013). Notch Signaling and T-Helper Cells in EAE/MS. SHILAP Revista de lepidopterología. 2013. 1–7. 16 indexed citations
15.
Purwar, Rahul, Christoph Schlapbach, Sheng Xiao, et al.. (2012). Robust tumor immunity to melanoma mediated by interleukin-9–producing T cells. Nature Medicine. 18(8). 1248–1253. 319 indexed citations
16.
Elyaman, Wassim, Samia J. Khoury, David W. Scott, & Anne S. De Groot. (2011). Potential Application of Tregitopes as Immunomodulating Agents in Multiple Sclerosis. SHILAP Revista de lepidopterología. 2011. 1–6. 26 indexed citations
17.
Elyaman, Wassim, Elizabeth M. Bradshaw, Catherine Uyttenhove, et al.. (2009). IL-9 induces differentiation of T H 17 cells and enhances function of FoxP3 + natural regulatory T cells. Proceedings of the National Academy of Sciences. 106(31). 12885–12890. 390 indexed citations
18.
Elyaman, Wassim, Elizabeth M. Bradshaw, Yue Wang, et al.. (2007). Jagged1 and Delta1 Differentially Regulate the Outcome of Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 179(9). 5990–5998. 90 indexed citations
19.
Chitnis, Tanuja, Jaime Imitola, Yue Wang, et al.. (2007). Elevated Neuronal Expression of CD200 Protects Wlds Mice from Inflammation-Mediated Neurodegeneration. American Journal Of Pathology. 170(5). 1695–1712. 124 indexed citations
20.
Elyaman, Wassim, Catherine Yardin, & Jacques Hugon. (2002). Involvement of glycogen synthase kinase‐3β and tau phosphorylation in neuronal Golgi disassembly. Journal of Neurochemistry. 81(4). 870–880. 30 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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