Hanne Vos
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Immune cells in cancer 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Wim Timens (1 shared paper)Marieke J. H. Coenen (1 shared paper)Alexander Boes (1 shared paper)Ann Smeets (10 shared papers)Patrick Neven (6 shared papers)Giuseppe Floris (9 shared papers)Hans Wildiers (8 shared papers)Ines Nevelsteen (6 shared papers)
- Journals
- European Journal of Cancer (1 paper)Nature Medicine (1 paper)Clinical & Translational Immunology (1 paper)ESMO Open (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Hanne Vos
10 papers receiving 716 citations
Hanne Vos's Hit Papers
Peers
Comparison fields: 5 of 71
- Immunology 319
- Oncology 290
- Immunology and Allergy 59
- Cancer Research 84
- Molecular Biology 242
Countries citing papers authored by Hanne Vos
This map shows the geographic impact of Hanne Vos'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 Hanne Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanne Vos more than expected).
Fields of papers citing papers by Hanne Vos
This network shows the impact of papers produced by Hanne Vos. 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 Hanne Vos. The network helps show where Hanne Vos may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanne Vos, 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 | A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer Hit paper breakdown → | 2021 | 471 |
| 2 | Leucocyte typing V. White cell differentiation antigens | 1995 | 200 |
| 3 | 2020 | 32 | |
| 4 | 2018 | 13 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2003 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2020 | 0 |
About Hanne Vos
Hanne Vos is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 728 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Immune cells in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Immunology (319 citations), Oncology (290 citations), Immunology and Allergy (59 citations), Cancer Research (84 citations) and Molecular Biology (242 citations). Hanne Vos has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Wim Timens, Marieke J. H. Coenen, Alexander Boes, Ann Smeets, Patrick Neven, Giuseppe Floris, Hans Wildiers, Ines Nevelsteen, Christine Desmedt and Laurien Van Dyck. Their work appears in journals such as European Journal of Cancer, Nature Medicine, Clinical & Translational Immunology, ESMO Open and The Journal of Pathology.
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.