Celine Everaert

925 total citations
24 papers, 402 citations indexed

About

Celine Everaert is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Celine Everaert has authored 24 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Celine Everaert's work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (10 papers) and MicroRNA in disease regulation (4 papers). Celine Everaert is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (10 papers) and MicroRNA in disease regulation (4 papers). Celine Everaert collaborates with scholars based in Belgium, United States and Australia. Celine Everaert's co-authors include Jo Vandesompele, Pieter Mestdagh, Hetty Helsmoortel, Frank Speleman, Anneleen Decock, Karen Verboom, Pieter‐Jan Volders, Francisco Avila Cobos, Steve Lefever and Olivier Thas and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Celine Everaert

23 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Celine Everaert Belgium 10 306 261 50 49 32 24 402
Eri Nishikawa Japan 7 378 1.2× 332 1.3× 38 0.8× 56 1.1× 22 0.7× 20 496
Jelle J. ten Hoeve Netherlands 7 438 1.4× 381 1.5× 21 0.4× 86 1.8× 35 1.1× 7 531
Shenyi Lian China 10 283 0.9× 100 0.4× 73 1.5× 78 1.6× 44 1.4× 23 369
Ross A. Cordiner United Kingdom 7 326 1.1× 159 0.6× 25 0.5× 58 1.2× 23 0.7× 9 383
Stacy Hultine United States 5 308 1.0× 278 1.1× 47 0.9× 74 1.5× 13 0.4× 6 414
Changkun Huang China 11 330 1.1× 241 0.9× 44 0.9× 71 1.4× 82 2.6× 20 421
Dharmesh D. Bhuva Australia 7 260 0.8× 114 0.4× 88 1.8× 123 2.5× 60 1.9× 12 399
K Yanagisawa Japan 6 395 1.3× 298 1.1× 25 0.5× 63 1.3× 26 0.8× 11 460
Mengxi Xiu China 9 175 0.6× 112 0.4× 28 0.6× 58 1.2× 49 1.5× 14 277
Noriko Yamamoto Japan 8 316 1.0× 283 1.1× 29 0.6× 46 0.9× 25 0.8× 18 405

Countries citing papers authored by Celine Everaert

Since Specialization
Citations

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

Fields of papers citing papers by Celine Everaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celine Everaert. 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 Celine Everaert. The network helps show where Celine Everaert may publish in the future.

Co-authorship network of co-authors of Celine Everaert

This figure shows the co-authorship network connecting the top 25 collaborators of Celine Everaert. A scholar is included among the top collaborators of Celine Everaert 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 Celine Everaert. Celine Everaert 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
1.
2.
Everaert, Celine, et al.. (2024). Computational deconvolution of DNA methylation data from mixed DNA samples. Briefings in Bioinformatics. 25(3). 3 indexed citations
3.
Vanneste, Bavo, C. Zwicker, Tinne Thoné, et al.. (2024). NBAtlas: A harmonized single-cell transcriptomic reference atlas of human neuroblastoma tumors. Cell Reports. 43(10). 114804–114804. 4 indexed citations
4.
Everaert, Celine, et al.. (2023). Blocking Abundant RNA Transcripts by High-Affinity Oligonucleotides during Transcriptome Library Preparation. Biological Procedures Online. 25(1). 7–7. 1 indexed citations
5.
Fan, Yujie, Celine Everaert, Wouter Van Loocke, et al.. (2023). Human iPSC modeling recapitulates in vivo sympathoadrenal development and reveals an aberrant developmental subpopulation in familial neuroblastoma. iScience. 27(1). 108096–108096. 2 indexed citations
6.
Everaert, Celine, et al.. (2023). Circulating immune cell dynamics as outcome predictors for immunotherapy in non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 11(8). e007023–e007023. 18 indexed citations
7.
Goethem, Alan Van, Nurten Yigit, Celine Everaert, et al.. (2023). Longitudinal evaluation of serum microRNAs as biomarkers for neuroblastoma burden and therapeutic p53 reactivation. NAR Cancer. 5(1). zcad002–zcad002. 3 indexed citations
8.
Bony, Eric James de, Nurten Yigit, Jasper Anckaert, et al.. (2022). A 3′‐end capture sequencing method for high‐throughput targeted gene expression profiling. Biotechnology Journal. 17(9). e2100660–e2100660. 1 indexed citations
9.
Hulstaert, Eva, Marieke Vromman, Jasper Anckaert, et al.. (2022). CiLiQuant: Quantification of RNA Junction Reads Based on Their Circular or Linear Transcript Origin. SHILAP Revista de lepidopterología. 2. 834034–834034. 2 indexed citations
10.
Hulstaert, Eva, Anneleen Decock, Celine Everaert, et al.. (2021). Messenger RNA capture sequencing of extracellular RNA from human biofluids using a comprehensive set of spike-in controls. STAR Protocols. 2(2). 100475–100475. 7 indexed citations
11.
Everaert, Celine, et al.. (2021). Custom long non-coding RNA capture enhances detection sensitivity in different human sample types. RNA Biology. 18(sup1). 215–222. 5 indexed citations
12.
Everaert, Celine, et al.. (2020). SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups. BMC Bioinformatics. 21(1). 58–58. 5 indexed citations
13.
Gevaert, Olivier, Shaimaa Bakr, Celine Everaert, et al.. (2020). Imaging-AMARETTO: An Imaging Genomics Software Tool to Interrogate Multiomics Networks for Relevance to Radiography and Histopathology Imaging Biomarkers of Clinical Outcomes. JCO Clinical Cancer Informatics. 4(4). 421–435. 9 indexed citations
14.
Verboom, Karen, Celine Everaert, Nathalie Bolduc, et al.. (2019). SMARTer single cell total RNA sequencing. Nucleic Acids Research. 47(16). e93–e93. 35 indexed citations
15.
Rombaut, Dries, Hua‐Sheng Chiu, Bieke Decaesteker, et al.. (2019). Integrative analysis identifies lincRNAs up- and downstream of neuroblastoma driver genes. Scientific Reports. 9(1). 5685–5685. 10 indexed citations
16.
Everaert, Celine, Hetty Helsmoortel, Anneleen Decock, et al.. (2019). Performance assessment of total RNA sequencing of human biofluids and extracellular vesicles. Scientific Reports. 9(1). 17574–17574. 43 indexed citations
17.
Everaert, Celine, et al.. (2018). Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data. Genome biology. 19(1). 96–96. 34 indexed citations
18.
Everaert, Celine, et al.. (2017). Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data. Scientific Reports. 7(1). 1559–1559. 7 indexed citations
19.
Cobos, Francisco Avila, Jasper Anckaert, Pieter‐Jan Volders, et al.. (2017). Zipper plot: visualizing transcriptional activity of genomic regions. BMC Bioinformatics. 18(1). 231–231. 4 indexed citations
20.
Goethem, Alan Van, Nurten Yigit, Celine Everaert, et al.. (2016). Depletion of tRNA-halves enables effective small RNA sequencing of low-input murine serum samples. Scientific Reports. 6(1). 37876–37876. 11 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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