Amber E. de Groot
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 7
- Peptidase Inhibition and Analysis 2
- Cancer Immunotherapy and Biomarkers 2
-
- Immune cells in cancer 4
- Immune Cell Function and Interaction 3
- Co-authors
- Kenneth J. Pienta (7 shared papers)Kenneth C. Valkenburg (1 shared paper)Carolyn R. Bertozzi (2 shared papers)Peter V. Robinson (2 shared papers)Julia L. McKechnie (2 shared papers)Sarah R. Amend (4 shared papers)Joel S. Brown (1 shared paper)Cheng‐ting Tsai (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Cancer Research (2 papers)Neoplasia (1 paper)The Journal of Immunology (1 paper)Oncotarget (1 paper)
- Partner nations
- United States
In The Last Decade
Amber E. de Groot
12 papers receiving 1.2k citations
Amber E. de Groot's Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 494
- Cancer Research 224
- Immunology 283
- Molecular Biology 490
- Biomaterials 69
Countries citing papers authored by Amber E. de Groot
This map shows the geographic impact of Amber E. de Groot'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 Amber E. de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber E. de Groot more than expected).
Fields of papers citing papers by Amber E. de Groot
This network shows the impact of papers produced by Amber E. de Groot. 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 Amber E. de Groot. The network helps show where Amber E. de Groot may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber E. de Groot, 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 | Targeting the tumour stroma to improve cancer therapy Hit paper breakdown → | 2018 | 812 |
| 2 | 2018 | 85 | |
| 3 | 2017 | 79 | |
| 4 | 2015 | 73 | |
| 5 | 2016 | 57 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 13 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2017 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 |
About Amber E. de Groot
Amber E. de Groot is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Immune Cell Function and Interaction (3 papers), Prostate Cancer Treatment and Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (494 citations), Cancer Research (224 citations), Immunology (283 citations), Molecular Biology (490 citations) and Biomaterials (69 citations). Amber E. de Groot has collaborated with scholars based in United States. Frequent co-authors include Kenneth J. Pienta, Kenneth C. Valkenburg, Carolyn R. Bertozzi, Peter V. Robinson, Julia L. McKechnie, Sarah R. Amend, Joel S. Brown, Cheng‐ting Tsai, K. Myers and Timothy Krueger. Their work appears in journals such as Journal of the American Chemical Society, Cancer Research, Neoplasia, The Journal of Immunology and Oncotarget.
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.