Anneleen Daemen
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 11
- Cancer, Hypoxia, and Metabolism 10
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies 7
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 9
- Genetics top 2%
- Estrogen and related hormone effects 9
- Oncology top 5%
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- Gene expression and cancer classification 11
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- Ectopic Pregnancy Diagnosis and Management 11
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- Advanced Breast Cancer Therapies 8
- Co-authors
- Bart De MoorD. TimmermanOlivier GevaertT. BourneJoe W. GrayLaura van ‘t VeerGeorgia HatzivassiliouLuika Timmerman
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Anneleen Daemen
97 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 1.2k
- Obstetrics and Gynecology 523
- Reproductive Medicine 460
- Genetics 395
- Oncology 875
Countries citing papers authored by Anneleen Daemen
This map shows the geographic impact of Anneleen Daemen'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 Anneleen Daemen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anneleen Daemen more than expected).
Fields of papers citing papers by Anneleen Daemen
This network shows the impact of papers produced by Anneleen Daemen. 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 Anneleen Daemen. The network helps show where Anneleen Daemen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anneleen Daemen, 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 | 2023 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 9 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 139 | |
| 8 | 2019 | 118 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 39 | |
| 11 | 2014 | 98 | |
| 12 | Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Targetbreakdown → | 2013 | 471 |
| 13 | 2012 | 53 | |
| 14 | 2012 | 5 | |
| 15 | 2010 | 49 | |
| 16 | 2010 | 2 | |
| 17 | Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histologybreakdown → | 2009 | 512 |
| 18 | PREDICTING LYMPH NODE INVOLVEMENT OF BREAST CANCER BY USING GENE EXPRESSION PROFILES | 2009 | 1 |
| 19 | 2009 | 46 | |
| 20 | 2009 | 7 |
About Anneleen Daemen
Anneleen Daemen is a scholar working on Obstetrics and Gynecology, Cancer Research and Reproductive Medicine, having authored 104 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Gene expression and cancer classification (11 papers), Ectopic Pregnancy Diagnosis and Management (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Ovarian cancer diagnosis and treatment (9 papers), Estrogen and related hormone effects (9 papers), Advanced Breast Cancer Therapies (8 papers) and Pregnancy and preeclampsia studies (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Obstetrics and Gynecology (523 citations) and Reproductive Medicine (460 citations). Anneleen Daemen has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Bart De Moor, D. Timmerman, Olivier Gevaert, T. Bourne, Joe W. Gray, Bart De Moor, Laura van ‘t Veer, Georgia Hatzivassiliou, Luika Timmerman and Mercè Padró.
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.