Stefan Michiels
Impact in
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
- Cancer Research 105
- Cancer Genomics and Diagnostics 57
- Breast Cancer Treatment Studies 45
-
- Statistical Methods in Clinical Trials 37
- Co-authors
- Sherene LoiSerge KoscielnyChristos SotiriouCatherine HillMartine PiccartRoberto SalgadoJean‐Pierre PignonFabrice André
- Journals
- Journal of Clinical Oncology (40 papers)Annals of Oncology (38 papers)Cancer Research (25 papers)European Journal of Cancer (11 papers)The Lancet Oncology (6 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Stefan Michiels
245 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Oncology 6.9k
- Cancer Research 3.8k
- Pulmonary and Respiratory Medicine 2.9k
- Immunology 1.9k
- Statistics and Probability 697
Countries citing papers authored by Stefan Michiels
This map shows the geographic impact of Stefan Michiels'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 Stefan Michiels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Michiels more than expected).
Fields of papers citing papers by Stefan Michiels
This network shows the impact of papers produced by Stefan Michiels. 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 Stefan Michiels. The network helps show where Stefan Michiels may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Michiels, 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 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 38 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 0 | |
| 15 | 2019 | 2 | |
| 16 | Prognostic and Predictive Value of Tumor-Infiltrating Lymphocytes in a Phase III Randomized Adjuvant Breast Cancer Trial in Node-Positive Breast Cancer Comparing the Addition of Docetaxel to Doxorubicin With Doxorubicin-Based Chemotherapy: BIG 02-98 Hit paper breakdown → | 2013 | 1213 |
| 17 | 2012 | 278 | |
| 18 | 2011 | 6 | |
| 19 | 2009 | 248 | |
| 20 | 2004 | 304 |
About Stefan Michiels
Stefan Michiels is a scholar working on Cancer Research, Statistics and Probability, Oncology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 265 papers that have together received 12.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (57 papers), Breast Cancer Treatment Studies (45 papers), Statistical Methods in Clinical Trials (37 papers), Lung Cancer Treatments and Mutations (28 papers), HER2/EGFR in Cancer Research (27 papers), Cancer Immunotherapy and Biomarkers (24 papers), Gene expression and cancer classification (23 papers) and Advanced Breast Cancer Therapies (21 papers). The work is most often cited by research in Oncology (6.9k citations), Cancer Research (3.8k citations), Pulmonary and Respiratory Medicine (2.9k citations), Immunology (1.9k citations) and Statistics and Probability (697 citations). Stefan Michiels has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Sherene Loi, Serge Koscielny, Christos Sotiriou, Catherine Hill, Martine Piccart, Roberto Salgado, Jean‐Pierre Pignon, Fabrice André, Carsten Denkert and Nicolas Sirtaine. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, European Journal of Cancer and The Lancet Oncology.
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.