Mariëtte Labots

3.4k citations
63 papers · 1.1k · h-index 17

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Colorectal Cancer Treatments and Studies 11
    • Cancer Immunotherapy and Biomarkers 7
    • Cancer Genomics and Diagnostics 14

Mariëtte Labots

56 papers receiving 1.1k citations

Peers

Mariëtte Labots
Comparison fields: 5 of 91
  • Cancer Research 272
  • Oncology 357
  • Pulmonary and Respiratory Medicine 244
  • Molecular Biology 498
  • Physiology 30
Replace Xiao X. Wei with:
Xiao X. Wei United States
Maeva Dufies France
Luigi Portella Italy
Takamasa Uekita Japan
Lydia Sánchez Spain
Yeoun Jin Kim United States
Brian Higgins United States
Francesco Mannavola Italy
Ruth Riisnaes United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mariëtte Labots

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mariëtte Labots Line = papers co-authored together Mariëtte Labots links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011292
2 2019207
3 201959
4 201451
5 202149
6 201445
7 201543
8 201539
9 201726
10 201226
11 201024
12 201824
13 202321
14 201621
15 202319
16 202417
17 201416
18 201814
19 201313
20 202013

About Mariëtte Labots

Mariëtte Labots is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Colorectal Cancer Treatments and Studies (11 papers), Advanced Proteomics Techniques and Applications (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Renal cell carcinoma treatment (5 papers), Melanoma and MAPK Pathways (5 papers), Genetic factors in colorectal cancer (5 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (272 citations), Oncology (357 citations), Pulmonary and Respiratory Medicine (244 citations), Molecular Biology (498 citations) and Physiology (30 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, Richard J. Honeywell, Godefridus J. Peters, Henk J. Broxterman, Richard R. de Haas, Kristy J. Gotink and Michelle A. Rudek. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, Journal of Proteomics 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.

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