Maha Ayyoub
- Immunology top 0.5%
- Immunotherapy and Immune Responses 61
- T-cell and B-cell Immunology 46
- Immune Cell Function and Interaction 38
- Psoriasis: Treatment and Pathogenesis 6
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 17
- CAR-T cell therapy research 10
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 25
- RNA Interference and Gene Delivery 4
- Transplantation top 10%
- Co-authors
- Danila ValmoriIsabelle RaimbaudGuido KroemerLaurence ZitvogelBertrand RoutyNaira E. SouleimanianGilles BioleyFlorence Deknuydt
- Journals
- The Journal of Immunology (10 papers)Clinical Immunology (8 papers)Clinical Cancer Research (5 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Maha Ayyoub
81 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 3.2k
- Oncology 1.4k
- Biological Psychiatry 96
- Molecular Biology 1.3k
- Transplantation 44
Countries citing papers authored by Maha Ayyoub
This map shows the geographic impact of Maha Ayyoub'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 Ayyoub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Ayyoub more than expected).
Fields of papers citing papers by Maha Ayyoub
This network shows the impact of papers produced by Maha Ayyoub. 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 Ayyoub. The network helps show where Maha Ayyoub may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maha Ayyoub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 70 | |
| 6 | 2020 | 11 | |
| 7 | 2014 | 21 | |
| 8 | 2014 | 1 | |
| 9 | 2012 | 125 | |
| 10 | 2012 | 31 | |
| 11 | 2010 | 133 | |
| 12 | 2009 | 118 | |
| 13 | Human memory FOXP3+ Treg secrete IL-17 ex-vivo and constitutively express the TH17 lineage specific transcription factor ROR{gamma}t | 2009 | 110 |
| 14 | 2008 | 15 | |
| 15 | 2005 | 16 | |
| 16 | 2004 | 16 | |
| 17 | 2003 | 18 | |
| 18 | 2002 | 100 | |
| 19 | 2001 | 74 | |
| 20 | 2001 | 42 |
About Maha Ayyoub
Maha Ayyoub is a scholar working on Immunology, Oncology and Molecular Biology, having authored 84 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (61 papers), T-cell and B-cell Immunology (46 papers), Immune Cell Function and Interaction (38 papers), vaccines and immunoinformatics approaches (25 papers), Cancer Immunotherapy and Biomarkers (17 papers), CAR-T cell therapy research (10 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Immunology (3.2k citations), Oncology (1.4k citations) and Biological Psychiatry (96 citations). Maha Ayyoub has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Danila Valmori, Isabelle Raimbaud, Guido Kroemer, Laurence Zitvogel, Bertrand Routy, Naira E. Souleimanian, Gilles Bioley, Florence Deknuydt, Charles S. Hesdorffer and Lloyd J. Old. Their work appears in journals such as The Journal of Immunology, Clinical Immunology, Clinical Cancer Research, Proceedings of the National Academy of Sciences and OncoImmunology.
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.