Cor van der Leest
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
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- Lung Cancer Treatments and Mutations 15
- Lung Cancer Diagnosis and Treatment 5
- Gastric Cancer Management and Outcomes 4
- Oncology top 10%
- Colorectal Cancer Treatments and Studies 9
- Cancer Immunotherapy and Biomarkers 4
- Lung Cancer Research Studies 4
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- Cancer Research and Treatments 2
- Co-authors
- Joachim G.J.V. AertsHenk C. HoogstedenBianca den HamerPeter RiegmanJun HouMichael den BakkerSjaak PhilipsenFrank Grosveld
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Cor van der Leest
27 papers receiving 968 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 246
- Pulmonary and Respiratory Medicine 408
- Oncology 296
- Molecular Biology 559
- Radiology, Nuclear Medicine and Imaging 103
Countries citing papers authored by Cor van der Leest
This map shows the geographic impact of Cor van der Leest'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 Cor van der Leest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cor van der Leest more than expected).
Fields of papers citing papers by Cor van der Leest
This network shows the impact of papers produced by Cor van der Leest. 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 Cor van der Leest. The network helps show where Cor van der Leest may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cor van der Leest, 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 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 4 | |
| 15 | 2011 | 19 | |
| 16 | Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Predictionbreakdown → | 2010 | 614 |
| 17 | 2010 | 30 | |
| 18 | 2010 | 0 | |
| 19 | 2010 | 47 | |
| 20 | 2007 | 12 |
About Cor van der Leest
Cor van der Leest is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 28 papers that have together received 981 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Colorectal Cancer Treatments and Studies (9 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lung Cancer Research Studies (4 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (246 citations), Pulmonary and Respiratory Medicine (408 citations) and Oncology (296 citations). Cor van der Leest has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Joachim G.J.V. Aerts, Henk C. Hoogsteden, Bianca den Hamer, Peter Riegman, Jun Hou, Michael den Bakker, Sjaak Philipsen, Frank Grosveld, Peter J. van der Spek and John A. Foekens. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Lung Cancer, Journal of Thoracic Oncology and JCO Precision 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.