Jan Sadones
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 15
- Glioma Diagnosis and Treatment 15
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- Cancer, Hypoxia, and Metabolism 6
- Cancer Genomics and Diagnostics 2
- Co-authors
- Jacques De Grève (8 shared papers)Bart Neyns (15 shared papers)Alex Michotte (15 shared papers)C. Chaskis (13 shared papers)Erik Teugels (3 shared papers)Pieter In 'T Veld (6 shared papers)Lionel D’Hondt (6 shared papers)Gang Chen (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Journal of Proteomics (1 paper)European Journal of Cancer (1 paper)Journal of Neuro-Oncology (1 paper)Neuro-Oncology (1 paper)
- Partner nations
- BelgiumNetherlandsFinland
In The Last Decade
Jan Sadones
17 papers receiving 807 citations
Peers
Comparison fields: 5 of 69
- Genetics 428
- Cancer Research 348
- Molecular Biology 437
- Oncology 151
- Neurology 80
Countries citing papers authored by Jan Sadones
This map shows the geographic impact of Jan Sadones'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 Sadones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Sadones more than expected).
Fields of papers citing papers by Jan Sadones
This network shows the impact of papers produced by Jan Sadones. 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 Sadones. The network helps show where Jan Sadones may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Sadones, 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 | 2013 | 238 | |
| 2 | 2009 | 182 | |
| 3 | 2010 | 113 | |
| 4 | 2012 | 56 | |
| 5 | 2008 | 45 | |
| 6 | 2008 | 35 | |
| 7 | Correlation between IDH1 gene mutation status and survival of patients treated for recurrent glioma. | 2011 | 31 |
| 8 | 2009 | 23 | |
| 9 | 2015 | 21 | |
| 10 | Neuropathological and molecular aspects of low-grade and high-grade gliomas. | 2004 | 21 |
| 11 | 2006 | 12 | |
| 12 | 2008 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2008 | 8 | |
| 15 | 2008 | 7 | |
| 16 | The role of chemotherapy in the treatment of low-grade glioma. A review of the literature. | 2005 | 6 |
| 17 | 2009 | 1 |
About Jan Sadones
Jan Sadones is a scholar working on Genetics, Cancer Research, Neurology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 17 papers that have together received 822 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Cancer, Hypoxia, and Metabolism (6 papers), Brain Metastases and Treatment (4 papers), Neuroblastoma Research and Treatments (4 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Treatment and Pharmacology (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Genetics (428 citations), Cancer Research (348 citations), Molecular Biology (437 citations), Oncology (151 citations) and Neurology (80 citations). Jan Sadones has collaborated with scholars based in Belgium, Netherlands and Finland. Frequent co-authors include Jacques De Grève, Bart Neyns, Alex Michotte, C. Chaskis, Erik Teugels, Pieter In 'T Veld, Lionel D’Hondt, Gang Chen, Karel Fostier and Caroline Geers. Their work appears in journals such as Journal of Clinical Oncology, Journal of Proteomics, European Journal of Cancer, Journal of Neuro-Oncology and Neuro-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.