Anneleen Daemen

8.3k citations
104 papers · 4.0k indexed · 3 hit papers · h-index 33
Topics
Cancer Genomics and Diagnostics (11 papers)Gene expression and cancer classification (11 papers)Ectopic Pregnancy Diagnosis and Management (11 papers)

In The Last Decade

Anneleen Daemen

97 papers receiving 3.9k citations

Hit Papers

Intrinsic Gene Expression Profiles of Gliomas Are a Bette...2009202620142020200920132021100200300400500

Peers

Anneleen Daemen
Comparison fields: 5 of 138
  • Molecular Biology 1.8k
  • Cancer Research 1.2k
  • Oncology 875
  • Pulmonary and Respiratory Medicine 530
  • Obstetrics and Gynecology 523
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 of co-authors of Anneleen Daemen

This figure shows the co-authorship network connecting the top 25 collaborators of Anneleen Daemen. A scholar is included among the top collaborators of Anneleen Daemen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anneleen Daemen. Anneleen Daemen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 24
4 9
5 11
6 19
7 139
8 118
9 15
10 39
11 98
12
Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Targetbreakdown →
471
13 53
14 5
15 49
16 2
17
Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histologybreakdown →
512
18
PREDICTING LYMPH NODE INVOLVEMENT OF BREAST CANCER BY USING GENE EXPRESSION PROFILES
1
19 46
20 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) and Ectopic Pregnancy Diagnosis and Management (11 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

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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