Jan Bogaerts
Impact in
- Oncology top 0.02%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 46
- Cancer Genomics and Diagnostics 29
- Oncology 57
- HER2/EGFR in Cancer Research 16
- Cancer Treatment and Pharmacology 16
- Co-authors
- Lalitha ShankarLawrence H. SchwartzJanet DanceyStephen J. GwytherDenis LacombeP. TherasseDaniel J. SargentE. Eisenhauer
- Journals
- Journal of Clinical Oncology (24 papers)European Journal of Cancer (22 papers)Cancer Research (11 papers)Annals of Oncology (6 papers)Breast Cancer Research and Treatment (5 papers)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
Jan Bogaerts
109 papers receiving 29.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Oncology 16.2k
- Cancer Research 7.1k
- Pulmonary and Respiratory Medicine 12.0k
- Hepatology 2.3k
- Otorhinolaryngology 1.2k
Countries citing papers authored by Jan Bogaerts
This map shows the geographic impact of Jan Bogaerts'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 Jan Bogaerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bogaerts more than expected).
Fields of papers citing papers by Jan Bogaerts
This network shows the impact of papers produced by Jan Bogaerts. 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 Jan Bogaerts. The network helps show where Jan Bogaerts may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Bogaerts, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 38 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 5 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 2 | |
| 9 | RECIST 1.1—Update and clarification: From the RECIST committee Hit paper breakdown → | 2016 | 1206 |
| 10 | 2015 | 23 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 45 | |
| 13 | Axillary Lymph Node Dissection vs Axillary Radiotherapy: A Detailed Analysis of Morbidity | 2014 | 4 |
| 14 | 2014 | 24 | |
| 15 | 2009 | 198 | |
| 16 | 2008 | 228 | |
| 17 | 2007 | 3 | |
| 18 | Recursive partitioning analysis in the postoperative setting in squamous cell head and neck cancer: Validation of risk group definition in the EORTC 22931 database | 2006 | 2 |
| 19 | Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer Hit paper breakdown → | 2006 | 842 |
| 20 | 2002 | 219 |
About Jan Bogaerts
Jan Bogaerts is a scholar working on Cancer Research, Oncology, Otorhinolaryngology, Statistics and Probability and Pathology and Forensic Medicine, having authored 114 papers that have together received 30.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (46 papers), Cancer Genomics and Diagnostics (29 papers), Lung Cancer Treatments and Mutations (19 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), HER2/EGFR in Cancer Research (16 papers), Cancer Treatment and Pharmacology (16 papers), Statistical Methods in Clinical Trials (12 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). The work is most often cited by research in Oncology (16.2k citations), Cancer Research (7.1k citations), Pulmonary and Respiratory Medicine (12.0k citations), Hepatology (2.3k citations) and Otorhinolaryngology (1.2k citations). Jan Bogaerts has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Lalitha Shankar, Lawrence H. Schwartz, Janet Dancey, Stephen J. Gwyther, Denis Lacombe, P. Therasse, Daniel J. Sargent, E. Eisenhauer, Larry Rubinstein and Susan G. Arbuck. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Cancer Research, Annals of Oncology and Breast Cancer Research and Treatment.
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.