Ayse Bassez
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Cancer Diagnosis and Treatment 1
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Phagocytosis and Immune Regulation 1
- Co-authors
- Diether Lambrechts (8 shared papers)Bram Boeckx (3 shared papers)Erik Verbeken (1 shared paper)David Nittner (1 shared paper)Johan Vansteenkiste (1 shared paper)Birgit Weynand (1 shared paper)Paul De Leyn (1 shared paper)Oliver T. Burton (1 shared paper)
- Journals
- Nature Medicine (2 papers)Cancer Research (1 paper)European Urology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- BelgiumUnited StatesChina
In The Last Decade
Ayse Bassez
7 papers receiving 1.5k citations
Ayse Bassez's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 659
- Oncology 842
- Cancer Research 462
- Molecular Biology 815
- Pulmonary and Respiratory Medicine 255
Countries citing papers authored by Ayse Bassez
This map shows the geographic impact of Ayse Bassez'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 Ayse Bassez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayse Bassez more than expected).
Fields of papers citing papers by Ayse Bassez
This network shows the impact of papers produced by Ayse Bassez. 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 Ayse Bassez. The network helps show where Ayse Bassez may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayse Bassez, 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 | Phenotype molding of stromal cells in the lung tumor microenvironment Hit paper breakdown → | 2018 | 1037 |
| 2 | A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer Hit paper breakdown → | 2021 | 442 |
| 3 | 2023 | 33 | |
| 4 | 2024 | 13 | |
| 5 | 2025 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2023 | 0 |
About Ayse Bassez
Ayse Bassez is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Surgery, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Single-cell and spatial transcriptomics (1 paper), Cell Adhesion Molecules Research (1 paper), Cancer Diagnosis and Treatment (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (659 citations), Oncology (842 citations), Cancer Research (462 citations), Molecular Biology (815 citations) and Pulmonary and Respiratory Medicine (255 citations). Ayse Bassez has collaborated with scholars based in Belgium, United States and China. Frequent co-authors include Diether Lambrechts, Bram Boeckx, Erik Verbeken, David Nittner, Johan Vansteenkiste, Birgit Weynand, Paul De Leyn, Oliver T. Burton, Kathleen Van den Eynde and Sara Aibar. Their work appears in journals such as Nature Medicine, Cancer Research, European Urology, Proceedings of the National Academy of Sciences and Nature Communications.
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.