Barbara D′haene

1.0k total citations
11 papers, 670 citations indexed

About

Barbara D′haene is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Barbara D′haene has authored 11 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Barbara D′haene's work include Cancer-related molecular mechanisms research (4 papers), Chromosomal and Genetic Variations (2 papers) and Molecular Biology Techniques and Applications (2 papers). Barbara D′haene is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Chromosomal and Genetic Variations (2 papers) and Molecular Biology Techniques and Applications (2 papers). Barbara D′haene collaborates with scholars based in Belgium, United States and Netherlands. Barbara D′haene's co-authors include Jo Vandesompele, Jan Hellemans, Pieter Mestdagh, Elfride De Baere, Michael A. Rudnicki, Andreas Kronbichler, Andreas Heinzel, Johannes Leierer, Gert Mayer and Bernd Mayer and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Barbara D′haene

10 papers receiving 659 citations

Peers

Barbara D′haene
Natasha Jansz Australia
Mary T. Murray United States
Mohammed Kanchwala United States
Pierre Dehan Belgium
Wenyu Yu Taiwan
Natasha Jansz Australia
Barbara D′haene
Citations per year, relative to Barbara D′haene Barbara D′haene (= 1×) peers Natasha Jansz

Countries citing papers authored by Barbara D′haene

Since Specialization
Citations

This map shows the geographic impact of Barbara D′haene'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 Barbara D′haene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara D′haene more than expected).

Fields of papers citing papers by Barbara D′haene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara D′haene. 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 Barbara D′haene. The network helps show where Barbara D′haene may publish in the future.

Co-authorship network of co-authors of Barbara D′haene

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara D′haene. A scholar is included among the top collaborators of Barbara D′haene 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 Barbara D′haene. Barbara D′haene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Rudnicki, Michael A., Paul Perco, Barbara D′haene, et al.. (2015). Renal microRNA‐ and RNA‐profiles in progressive chronic kidney disease. European Journal of Clinical Investigation. 46(3). 213–226. 91 indexed citations
2.
Brosens, Erwin, Elisabeth M. de Jong, Tahsin Stefan Barakat, et al.. (2014). Structural and numerical changes of chromosome X in patients with esophageal atresia. European Journal of Human Genetics. 22(9). 1077–1084. 14 indexed citations
3.
Verdin, Hannah, Barbara D′haene, Diane Beysen, et al.. (2013). Microhomology-Mediated Mechanisms Underlie Non-Recurrent Disease-Causing Microdeletions of the FOXL2 Gene or Its Regulatory Domain. PLoS Genetics. 9(3). e1003358–e1003358. 56 indexed citations
4.
Mestdagh, Pieter, Jan Hellemans, Barbara D′haene, et al.. (2012). Abstract 2987: Regulatory network discovery using 3-way integration of high-dimensional mRNA, miRNA and lncRNA expression data from the entire NCI60 cancer cell line panel. Cancer Research. 72(8_Supplement). 2987–2987.
5.
D′haene, Barbara, Pieter Mestdagh, Jan Hellemans, & Jo Vandesompele. (2011). miRNA Expression Profiling: From Reference Genes to Global Mean Normalization. Methods in molecular biology. 822. 261–272. 146 indexed citations
6.
Benayoun, Bérénice A., Sandrine Caburet, Aurélie Dipietromaria, et al.. (2010). Functional Exploration of the Adult Ovarian Granulosa Cell Tumor-Associated Somatic FOXL2 Mutation p.Cys134Trp (c.402C>G). PLoS ONE. 5(1). e8789–e8789. 64 indexed citations
7.
D′haene, Barbara, Björn Menten, Ilse Claerhout, et al.. (2010). Molecular analysis in a large cohort of patients with anterior segment malformations: expanding the spectrum of FOXC1/PITX2 mutations and copy number changes. 50–50. 2 indexed citations
8.
D′haene, Barbara, Julián Nevado, M. Pugeat, et al.. (2010). FOXL2copy number changes in the molecular pathogenesis of BPES: unique cohort of 17 deletions. Human Mutation. 31(5). n/a–n/a. 18 indexed citations
9.
D′haene, Barbara, Jan Hellemans, Margarita Craen, et al.. (2010). Improved Molecular Diagnostics of Idiopathic Short Stature and Allied Disorders: Quantitative Polymerase Chain Reaction-Based Copy Number Profiling of SHOX and Pseudoautosomal Region 1. The Journal of Clinical Endocrinology & Metabolism. 95(6). 3010–3018. 13 indexed citations
10.
D′haene, Barbara, Jo Vandesompele, & Jan Hellemans. (2010). Accurate and objective copy number profiling using real-time quantitative PCR. Methods. 50(4). 262–270. 254 indexed citations
11.
Gijsbers, Antoinet C.J., Barbara D′haene, Yvonne Hilhorst‐Hofstee, et al.. (2008). Identification of copy number variants associated with BPES-like phenotypes. Human Genetics. 124(5). 489–498. 12 indexed citations

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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