Daisy Liekens
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
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- Connective tissue disorders research
- Glioma Diagnosis and Treatment
Papers in
- Surgery 2
- Congenital Anomalies and Fetal Surgery 1
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- Pluripotent Stem Cells Research 2
- TGF-β signaling in diseases 1
- Co-authors
- Jianghai Chen (4 shared papers)Lies Gremeaux (4 shared papers)Hugo Vankelecom (4 shared papers)Qiuli Fu (3 shared papers)Steven Van Laere (1 shared paper)Paul Mulder (1 shared paper)A. P. Oranje (1 shared paper)Annelies Hartman (1 shared paper)
- Journals
- Prenatal Diagnosis (2 papers)American Journal of Nephrology (1 paper)Stem Cells (1 paper)Endocrinology (1 paper)PubMed (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Daisy Liekens
7 papers receiving 323 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 119
- Genetics 37
- Developmental Neuroscience 13
- Genetics 65
- Oncology 60
Countries citing papers authored by Daisy Liekens
This map shows the geographic impact of Daisy Liekens'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 Daisy Liekens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy Liekens more than expected).
Fields of papers citing papers by Daisy Liekens
This network shows the impact of papers produced by Daisy Liekens. 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 Daisy Liekens. The network helps show where Daisy Liekens may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisy Liekens, 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 | 2009 | 125 | |
| 2 | Validation of beighton score and prevalence of connective tissue signs in 773 Dutch children. | 2001 | 82 |
| 3 | 2012 | 77 | |
| 4 | 2008 | 28 | |
| 5 | 2009 | 14 | |
| 6 | The mouse pituitary ‘side population’ expresses the stem cell transcription factor Sox2, and reacts to transgenically inflicted injury | 2008 | 2 |
| 7 | In search of cancer stem cells in primary human tumors: a “side population” is present in both benign and malignant neoplasms | 2008 | 1 |
| 8 | 2025 | 0 |
About Daisy Liekens
Daisy Liekens is a scholar working on Surgery, Molecular Biology, Oncology, Genetics and Genetics, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Pluripotent Stem Cells Research (2 papers), Cystic Fibrosis Research Advances (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Connective tissue disorders research (1 paper), TGF-β signaling in diseases (1 paper), Craniofacial Disorders and Treatments (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Genetics (37 citations), Developmental Neuroscience (13 citations), Genetics (65 citations) and Oncology (60 citations). Daisy Liekens has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Jianghai Chen, Lies Gremeaux, Hugo Vankelecom, Qiuli Fu, Steven Van Laere, Paul Mulder, A. P. Oranje, Annelies Hartman, Raúl M. Luque and Rhonda D. Kineman. Their work appears in journals such as Prenatal Diagnosis, American Journal of Nephrology, Stem Cells, Endocrinology and PubMed.
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.