Étienne Becht
Impact in
- Immunology top 0.2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 38
- Immunotherapy and Immune Responses 20
- Immune Cell Function and Interaction 15
- Immune cells in cancer 8
- T-cell and B-cell Immunology 6
- Oncology 31
- Cancer Immunotherapy and Biomarkers 27
- CAR-T cell therapy research 7
- Co-authors
- Catherine Sautès‐Fridman (22 shared papers)Wolf H. Fridman (23 shared papers)Evan William Newell (17 shared papers)Nicolás A. Giraldo (15 shared papers)Florent Ginhoux (4 shared papers)Charles‐Antoine Dutertre (3 shared papers)Lai Guan Ng (3 shared papers)Immanuel Kwok (1 shared paper)
- Journals
- Immunity (7 papers)Clinical Cancer Research (4 papers)Nature Communications (3 papers)Cancer Immunology Immunotherapy (3 papers)Cancer Immunology Research (3 papers)
- Partner nations
- FranceSingaporeUnited States
In The Last Decade
Étienne Becht
69 papers receiving 16.4k citations
Étienne Becht's Hit Papers
Peers
Comparison fields: 5 of 192
- Immunology 6.2k
- Oncology 5.7k
- Cancer Research 1.8k
- Pulmonary and Respiratory Medicine 2.5k
- Biophysics 454
Countries citing papers authored by Étienne Becht
This map shows the geographic impact of Étienne Becht'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 Étienne Becht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Étienne Becht more than expected).
Fields of papers citing papers by Étienne Becht
This network shows the impact of papers produced by Étienne Becht. 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 Étienne Becht. The network helps show where Étienne Becht may publish in the future.
Co-authors
The 25 scholars most cited alongside Étienne Becht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dimensionality reduction for visualizing single-cell data using UMAP Hit paper breakdown → | 2018 | 3611 |
| 2 | Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression Hit paper breakdown → | 2016 | 2559 |
| 3 | Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates Hit paper breakdown → | 2018 | 1078 |
| 4 | Presence of B Cells in Tertiary Lymphoid Structures Is Associated with a Protective Immunity in Patients with Lung Cancer Hit paper breakdown → | 2014 | 666 |
| 5 | Tertiary lymphoid structures generate and propagate anti-tumor antibody-producing plasma cells in renal cell cancer Hit paper breakdown → | 2022 | 560 |
| 6 | Orchestrating single-cell analysis with Bioconductor Hit paper breakdown → | 2019 | 558 |
| 7 | Dendritic Cells in Tumor-Associated Tertiary Lymphoid Structures Signal a Th1 Cytotoxic Immune Contexture and License the Positive Prognostic Value of Infiltrating CD8+ T Cells Hit paper breakdown → | 2013 | 557 |
| 8 | The clinical role of the TME in solid cancer Hit paper breakdown → | 2018 | 548 |
| 9 | Developmental Analysis of Bone Marrow Neutrophils Reveals Populations Specialized in Expansion, Trafficking, and Effector Functions Hit paper breakdown → | 2018 | 544 |
| 10 | Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy Hit paper breakdown → | 2016 | 445 |
| 11 | Cancer stemness, intratumoral heterogeneity, and immune response across cancers Hit paper breakdown → | 2019 | 431 |
| 12 | 2019 | 414 | |
| 13 | Orchestration and Prognostic Significance of Immune Checkpoints in the Microenvironment of Primary and Metastatic Renal Cell Cancer Hit paper breakdown → | 2015 | 399 |
| 14 | Intra-tumoral tertiary lymphoid structures are associated with a low risk of early recurrence of hepatocellular carcinoma Hit paper breakdown → | 2018 | 365 |
| 15 | 2017 | 289 | |
| 16 | 2015 | 260 | |
| 17 | 2020 | 212 | |
| 18 | 2019 | 199 | |
| 19 | 2019 | 187 | |
| 20 | 2018 | 176 |
About Étienne Becht
Étienne Becht is a scholar working on Immunology, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Biophysics, having authored 70 papers that have together received 16.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (27 papers), Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (15 papers), Single-cell and spatial transcriptomics (12 papers), Immune cells in cancer (8 papers), CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (6 papers) and Renal cell carcinoma treatment (5 papers). The work is most often cited by research in Immunology (6.2k citations), Oncology (5.7k citations), Cancer Research (1.8k citations), Pulmonary and Respiratory Medicine (2.5k citations) and Biophysics (454 citations). Étienne Becht has collaborated with scholars based in France, Singapore and United States. Frequent co-authors include Catherine Sautès‐Fridman, Wolf H. Fridman, Evan William Newell, Nicolás A. Giraldo, Florent Ginhoux, Charles‐Antoine Dutertre, Lai Guan Ng, Immanuel Kwok, John Healy and Leland McInnes. Their work appears in journals such as Immunity, Clinical Cancer Research, Nature Communications, Cancer Immunology Immunotherapy and Cancer Immunology Research.
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.