D Landais
Impact in
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Oncology 5
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Christophe Benoıst (4 shared papers)Diane Mathis (4 shared papers)Guy Montay (1 shared paper)P Yeh (1 shared paper)Marc Lemaître (1 shared paper)R. Fleer (1 shared paper)Jérôme Becquart (1 shared paper)Harald Matthes (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Translational Medicine (1 paper)The Journal of Experimental Medicine (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
D Landais
11 papers receiving 353 citations
Peers
Comparison fields: 5 of 52
- Immunology 208
- Oncology 104
- Biotechnology 33
- Radiology, Nuclear Medicine and Imaging 86
- Molecular Biology 162
Countries citing papers authored by D Landais
This map shows the geographic impact of D Landais'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 D Landais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Landais more than expected).
Fields of papers citing papers by D Landais
This network shows the impact of papers produced by D Landais. 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 D Landais. The network helps show where D Landais may publish in the future.
Co-authors
The 25 scholars most cited alongside D Landais, 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 | 1992 | 93 | |
| 2 | 2008 | 56 | |
| 3 | 2004 | 45 | |
| 4 | 1985 | 30 | |
| 5 | 2010 | 29 | |
| 6 | 1998 | 27 | |
| 7 | 1989 | 27 | |
| 8 | 1986 | 21 | |
| 9 | 1989 | 15 | |
| 10 | The Saccharomyces cerevisiae gene product SDC25 C-domain functions as an oncoprotein in NIH3T3 cells. | 1993 | 13 |
| 11 | 1989 | 8 |
About D Landais
D Landais is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers), vaccines and immunoinformatics approaches (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Immunology (208 citations), Oncology (104 citations), Biotechnology (33 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Molecular Biology (162 citations). D Landais has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Christophe Benoıst, Diane Mathis, Guy Montay, P Yeh, Marc Lemaître, R. Fleer, Jérôme Becquart, Harald Matthes, Diane Mathis and C Benoist. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Translational Medicine, The Journal of Experimental Medicine and Journal of Clinical Investigation.
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.