Anneleen Daemen

8.3k citations
104 papers · 4.0k indexed · 3 hit papers · h-index 33

Anneleen Daemen

97 papers receiving 3.9k citations

Hit Papers

Single-cell dissection o...2062009202620142020100200300400500

Peers

Anneleen Daemen
Comparison fields: 5 of 138
  • Cancer Research 1.2k
  • Obstetrics and Gynecology 523
  • Reproductive Medicine 460
  • Genetics 395
  • Oncology 875
Replace Steffen Hauptmann with:
Steffen Hauptmann Germany
Shih‐Chieh Lin Taiwan
Qianxing Mo United States
Donal J. Brennan Ireland
Jeremy Chien United States
Ellen L. Goode United States
Richie Soong Singapore
Jenny C. Taylor United Kingdom
Laurent Arnould France
Gaëlle Fromont France
Anneleen Daemen relative to Steffen Hauptmann Germany Steffen Hauptmann's profile →
Citations per field
00.5×
Steffen Hauptmann · 1×
Citations per year

Countries citing papers authored by Anneleen Daemen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20235
3 202224
4 20229
5 202011
6 202019
7 2020139
8 2019118
9 201815
10 201839
11 201498
12
Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Targetbreakdown →
2013471
13 201253
14 20125
15 201049
16 20102
17
Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histologybreakdown →
2009512
18
PREDICTING LYMPH NODE INVOLVEMENT OF BREAST CANCER BY USING GENE EXPRESSION PROFILES
20091
19 200946
20 20097

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.

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