Mariëtte Labots
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 33
- Colorectal Cancer Treatments and Studies 13
- Cancer Immunotherapy and Biomarkers 8
- Pancreatic and Hepatic Oncology Research 7
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- Melanoma and MAPK Pathways 7
- PI3K/AKT/mTOR signaling in cancer 6
- Co-authors
- Henk M.W. Verheul (39 shared papers)Henk Dekker (11 shared papers)Connie R. Jiménez (15 shared papers)Sander R. Piersma (12 shared papers)Godefridus J. Peters (7 shared papers)Richard J. Honeywell (7 shared papers)Henk J. Broxterman (4 shared papers)Richard R. de Haas (3 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Annals of Oncology (5 papers)Cancer Research (4 papers)Nature Communications (3 papers)Cancers (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mariëtte Labots
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 329
- Oncology 457
- Pulmonary and Respiratory Medicine 296
- Molecular Biology 576
- Spectroscopy 117
Countries citing papers authored by Mariëtte Labots
This map shows the geographic impact of Mariëtte Labots'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 Mariëtte Labots with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariëtte Labots more than expected).
Fields of papers citing papers by Mariëtte Labots
This network shows the impact of papers produced by Mariëtte Labots. 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 Mariëtte Labots. The network helps show where Mariëtte Labots may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariëtte Labots, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 290 | |
| 2 | 2019 | 202 | |
| 3 | 2019 | 59 | |
| 4 | 2014 | 50 | |
| 5 | 2021 | 45 | |
| 6 | 2014 | 45 | |
| 7 | 2015 | 43 | |
| 8 | 2015 | 39 | |
| 9 | 2017 | 26 | |
| 10 | 2012 | 25 | |
| 11 | 2018 | 24 | |
| 12 | 2010 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2018 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2020 | 12 |
About Mariëtte Labots
Mariëtte Labots is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Colorectal Cancer Treatments and Studies (13 papers), Advanced Proteomics Techniques and Applications (9 papers), Renal cell carcinoma treatment (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Melanoma and MAPK Pathways (7 papers), Pancreatic and Hepatic Oncology Research (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Cancer Research (329 citations), Oncology (457 citations), Pulmonary and Respiratory Medicine (296 citations), Molecular Biology (576 citations) and Spectroscopy (117 citations). Mariëtte Labots has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Henk M.W. Verheul, Henk Dekker, Connie R. Jiménez, Sander R. Piersma, Godefridus J. Peters, Richard J. Honeywell, Henk J. Broxterman, Richard R. de Haas, Kristy J. Gotink and Thang V. Pham. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, Nature Communications and Cancers.
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.