Morgan Grau
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
- Immunotherapy and Immune Responses 2
- Genetics 2
- Virus-based gene therapy research 1
- Co-authors
- Jacqueline Marvel (4 shared papers)Thierry Walzer (4 shared papers)Sébastien Viel (2 shared papers)Antoine Marçais (2 shared papers)Sophia Djebali (3 shared papers)Jacques Bienvenu (1 shared paper)David K. Finlay (1 shared paper)Sophie Degouve (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Science Signaling (1 paper)Frontiers in Immunology (1 paper)Cellular and Molecular Life Sciences (1 paper)Molecular Cancer (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Morgan Grau
9 papers receiving 831 citations
Morgan Grau's Hit Papers
Peers
Comparison fields: 5 of 70
- Immunology 585
- Oncology 267
- Cancer Research 74
- Hematology 50
- Molecular Biology 205
Countries citing papers authored by Morgan Grau
This map shows the geographic impact of Morgan Grau'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 Morgan Grau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morgan Grau more than expected).
Fields of papers citing papers by Morgan Grau
This network shows the impact of papers produced by Morgan Grau. 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 Morgan Grau. The network helps show where Morgan Grau may publish in the future.
Co-authors
The 25 scholars most cited alongside Morgan Grau, 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 | TGF-β inhibits the activation and functions of NK cells by repressing the mTOR pathway Hit paper breakdown → | 2016 | 550 |
| 2 | 2013 | 151 | |
| 3 | 2018 | 39 | |
| 4 | 2011 | 36 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 16 | |
| 7 | Improved detection of K-ras codon 12 mutations in fecal exfoliated cells. | 1999 | 15 |
| 8 | 2016 | 15 | |
| 9 | 2008 | 1 |
About Morgan Grau
Morgan Grau is a scholar working on Immunology, Genetics, Dermatology, Molecular Biology and Pathology and Forensic Medicine, having authored 9 papers that have together received 842 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (1 paper), vaccines and immunoinformatics approaches (1 paper), Cell death mechanisms and regulation (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (585 citations), Oncology (267 citations), Cancer Research (74 citations), Hematology (50 citations) and Molecular Biology (205 citations). Morgan Grau has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jacqueline Marvel, Thierry Walzer, Sébastien Viel, Antoine Marçais, Sophia Djebali, Jacques Bienvenu, David K. Finlay, Sophie Degouve, Liam Town and Christophe Caux. Their work appears in journals such as The Journal of Immunology, Science Signaling, Frontiers in Immunology, Cellular and Molecular Life Sciences and Molecular Cancer.
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.