Anke Wienecke-Baldacchino

1.1k total citations
18 papers, 632 citations indexed

About

Anke Wienecke-Baldacchino is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Anke Wienecke-Baldacchino has authored 18 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Anke Wienecke-Baldacchino's work include MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and interferon and immune responses (3 papers). Anke Wienecke-Baldacchino is often cited by papers focused on MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and interferon and immune responses (3 papers). Anke Wienecke-Baldacchino collaborates with scholars based in Luxembourg, Germany and Finland. Anke Wienecke-Baldacchino's co-authors include Gerald Bacher, Lasse Sinkkonen, Stephanie Kreis, Demetra Philippidou, Carsten Carlberg, Dorothée Nashan, Susanne E. Reinsbach, Martina Schmitt, Iris Behrmann and Christiane Margue and has published in prestigious journals such as Nucleic Acids Research, Nature Methods and Cancer Research.

In The Last Decade

Anke Wienecke-Baldacchino

18 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Wienecke-Baldacchino Luxembourg 14 418 224 113 101 60 18 632
Yunfei Zuo China 14 332 0.8× 169 0.8× 180 1.6× 141 1.4× 66 1.1× 37 633
Jianhua Zhou China 18 533 1.3× 256 1.1× 136 1.2× 95 0.9× 36 0.6× 52 792
Anastasiya V. Lipatova Russia 13 342 0.8× 137 0.6× 189 1.7× 106 1.0× 38 0.6× 55 659
Tsung‐Chieh Shih Taiwan 15 508 1.2× 233 1.0× 102 0.9× 179 1.8× 36 0.6× 20 725
Umarani Pugazhenthi United States 13 557 1.3× 122 0.5× 253 2.2× 82 0.8× 58 1.0× 23 958
Sohini Chakraborty India 12 306 0.7× 184 0.8× 58 0.5× 98 1.0× 25 0.4× 40 505
Siyuan He China 14 533 1.3× 274 1.2× 86 0.8× 104 1.0× 55 0.9× 37 816
Warren Wu United States 10 568 1.4× 182 0.8× 89 0.8× 54 0.5× 18 0.3× 15 705
Samy Y. Elkhawaga Egypt 15 491 1.2× 492 2.2× 89 0.8× 31 0.3× 92 1.5× 22 732
Weijia Wang China 12 612 1.5× 187 0.8× 118 1.0× 197 2.0× 36 0.6× 33 833

Countries citing papers authored by Anke Wienecke-Baldacchino

Since Specialization
Citations

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

Fields of papers citing papers by Anke Wienecke-Baldacchino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke Wienecke-Baldacchino. 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 Anke Wienecke-Baldacchino. The network helps show where Anke Wienecke-Baldacchino may publish in the future.

Co-authorship network of co-authors of Anke Wienecke-Baldacchino

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

All Works

18 of 18 papers shown
1.
Pires‐Afonso, Yolanda, et al.. (2023). A Molecular and Epidemiological Investigation of a Large SARS-CoV-2 Outbreak in a Long-Term Care Facility in Luxembourg, 2021. Geriatrics. 8(1). 19–19. 1 indexed citations
2.
Staub, Thérèse, et al.. (2021). Case series of four re-infections with a SARS-CoV-2 B.1.351 variant, Luxembourg, February 2021. Eurosurveillance. 26(18). 14 indexed citations
3.
Herold, Malte, Aymeric Fouquier d’Hérouël, Patrick May, et al.. (2021). Genome Sequencing of SARS-CoV-2 Allows Monitoring of Variants of Concern through Wastewater. Water. 13(21). 3018–3018. 20 indexed citations
4.
Latsuzbaia, Ardashel, Anke Wienecke-Baldacchino, Marc Arbyn, et al.. (2020). Characterization and Diversity of 243 Complete Human Papillomavirus Genomes in Cervical Swabs Using Next Generation Sequencing. Viruses. 12(12). 1437–1437. 16 indexed citations
5.
Nazarov, Petr V., Anke Wienecke-Baldacchino, Andreï Zinovyev, et al.. (2019). Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients. BMC Medical Genomics. 12(1). 132–132. 16 indexed citations
6.
Cesi, Giulia, Demetra Philippidou, Ines Kozar, et al.. (2018). A new ALK isoform transported by extracellular vesicles confers drug resistance to melanoma cells. Molecular Cancer. 17(1). 145–145. 50 indexed citations
7.
Habier, Janine, Patrick May, Anna Heintz‐Buschart, et al.. (2018). Extraction and Analysis of RNA Isolated from Pure Bacteria-Derived Outer Membrane Vesicles. Methods in molecular biology. 1737. 213–230. 16 indexed citations
8.
9.
Hahn, Matthias, Sabrina Klebow, Moritz Hess, et al.. (2017). Aberrant splicing of the tumor suppressor CYLD promotes the development of chronic lymphocytic leukemia via sustained NF-κB signaling. Leukemia. 32(1). 72–82. 23 indexed citations
10.
11.
Linna-Kuosmanen, Suvi, Tuomo Laitinen, Mikael Peräkylä, et al.. (2016). The Effects of Sequence Variation on Genome-wide NRF2 Binding—New Target Genes and Regulatory SNPs. Nucleic Acids Research. 44(4). 1760–1775. 32 indexed citations
12.
Nykter, Matti, Roger Kramer, Anke Wienecke-Baldacchino, et al.. (2013). Gene-pair expression signatures reveal lineage control. Nature Methods. 10(6). 577–583. 110 indexed citations
13.
John, Elisabeth, et al.. (2012). Dataset integration identifies transcriptional regulation of microRNA genes by PPARγ in differentiating mouse 3T3-L1 adipocytes. Nucleic Acids Research. 40(10). 4446–4460. 69 indexed citations
14.
Azuaje, Francisco, Michaël Heymann, Anke Wienecke-Baldacchino, et al.. (2012). Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6th Benelux bioinformatics conference. PubMed. 2(1). 7–7. 5 indexed citations
15.
Pehkonen, Petri, Anke Wienecke-Baldacchino, Sami Heikkinen, et al.. (2012). Genome-wide landscape of liver X receptor chromatin binding and gene regulation in human macrophages. BMC Genomics. 13(1). 50–50. 62 indexed citations
16.
Schmitt, Martina, Demetra Philippidou, Susanne E. Reinsbach, et al.. (2012). Interferon-γ-induced activation of Signal Transducer and Activator of Transcription 1 (STAT1) up-regulates the tumor suppressing microRNA-29 family in melanoma cells. Cell Communication and Signaling. 10(1). 41–41. 92 indexed citations
17.
Reinsbach, Susanne E., Petr V. Nazarov, Demetra Philippidou, et al.. (2012). Dynamic regulation of microRNA expression following Interferon-γ-induced gene transcription. RNA Biology. 9(7). 978–989. 34 indexed citations
18.
Wienecke-Baldacchino, Anke & Gerald Bacher. (2008). Indibulin, a Novel Microtubule Inhibitor, Discriminates between Mature Neuronal and Nonneuronal Tubulin. Cancer Research. 69(1). 171–177. 63 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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