Mélissa Mathieu
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
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- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Biosimilars and Bioanalytical Methods 2
- Oncology 6
- CAR-T cell therapy research 5
- Co-authors
- Nathalie Labrecque (6 shared papers)Jean‐François Daudelin (4 shared papers)Philippe Gros (2 shared papers)Paméla Thébault (1 shared paper)I A Kirillova (1 shared paper)Elena Torban (1 shared paper)Pierre Drapeau (1 shared paper)John B. Wallingford (1 shared paper)
- Journals
- Cytometry Part B Clinical Cytometry (1 paper)Immunology and Cell Biology (1 paper)Cancer Research (1 paper)BioMed Research International (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Mélissa Mathieu
13 papers receiving 476 citations
Peers
Comparison fields: 5 of 59
- Immunology 157
- Oncology 124
- Molecular Biology 241
- Cell Biology 53
- Genetics 78
Countries citing papers authored by Mélissa Mathieu
This map shows the geographic impact of Mélissa Mathieu'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 Mélissa Mathieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mélissa Mathieu more than expected).
Fields of papers citing papers by Mélissa Mathieu
This network shows the impact of papers produced by Mélissa Mathieu. 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 Mélissa Mathieu. The network helps show where Mélissa Mathieu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mélissa Mathieu, 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 | 2007 | 228 | |
| 2 | 2012 | 102 | |
| 3 | 2012 | 35 | |
| 4 | 2015 | 34 | |
| 5 | 2005 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2012 | 9 | |
| 8 | 2012 | 9 | |
| 9 | Identification of differentially expressed genes in uveal melanoma using suppressive subtractive hybridization. | 2011 | 9 |
| 10 | 2016 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2008 | 1 |
About Mélissa Mathieu
Mélissa Mathieu is a scholar working on Immunology, Oncology, Immunology and Allergy, Cancer Research and Ophthalmology, having authored 13 papers that have together received 488 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Cancer Genomics and Diagnostics (1 paper), Trace Elements in Health (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Immunology (157 citations), Oncology (124 citations), Molecular Biology (241 citations), Cell Biology (53 citations) and Genetics (78 citations). Mélissa Mathieu has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Nathalie Labrecque, Jean‐François Daudelin, Philippe Gros, Paméla Thébault, I A Kirillova, Elena Torban, Pierre Drapeau, John B. Wallingford, Jonathan R. McDearmid and Joanne Berghout. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Immunology and Cell Biology, Cancer Research, BioMed Research International and Journal of Clinical Oncology.
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.