Annika Sprüssel

1.1k total citations
10 papers, 477 citations indexed

About

Annika Sprüssel is a scholar working on Neurology, Oncology and Molecular Biology. According to data from OpenAlex, Annika Sprüssel has authored 10 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Annika Sprüssel's work include Neuroblastoma Research and Treatments (7 papers), Lung Cancer Research Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Annika Sprüssel is often cited by papers focused on Neuroblastoma Research and Treatments (7 papers), Lung Cancer Research Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Annika Sprüssel collaborates with scholars based in Germany, Belgium and Japan. Annika Sprüssel's co-authors include Angelika Eggert, Johannes H. Schulte, Alexander Schramm, Frank Speleman, Theresa Thor, Lukas C. Heukamp, Jo Vandesompele, Pieter Mestdagh, Kathy Astrahantseff and Kristina Althoff and has published in prestigious journals such as Oncogene, International Journal of Cancer and Leukemia.

In The Last Decade

Annika Sprüssel

9 papers receiving 473 citations

Peers

Annika Sprüssel

MB

CR

NEURO

ONCOL

HEMAT

Theresa Thor Germany

Stacey M. Frumm United States

Angelica Trujillo United States

Jeffrey Rubens United States

Clark M. Hatheway United States

Abigail Altabef United States

Crocifissa Lo Cunsolo Italy

Alex Cazes France

Bandana Sharma United States

Wendy L. See United States

Theresa Thor Germany

Annika Sprüssel

558 ×1.6

MB

214 ×1.4

CR

243 ×1.7

NEURO

100 ×1.1

ONCOL

95 ×1.5

HEMAT

Citations per year, relative to Annika Sprüssel Annika Sprüssel (= 1×) peers Theresa Thor

Countries citing papers authored by Annika Sprüssel

Since Specialization

Citations

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

Fields of papers citing papers by Annika Sprüssel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Sprüssel

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

All Works

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10 of 10 papers shown

1.

Sprüssel, Annika, Takayoshi Suzuki, Naoki Miyata, et al.. (2024). Targeting KDM1A in Neuroblastoma with NCL-1 Induces a Less Aggressive Phenotype and Suppresses Angiogenesis. Journal of Clinical Medicine. 13(20). 6081–6081.

2.

Lodrini, Marco, Annika Sprüssel, Annette Künkele, et al.. (2022). Circulating Cell-Free DNA Assessment in Biofluids from Children with Neuroblastoma Demonstrates Feasibility and Potential for Minimally Invasive Molecular Diagnostics. Cancers. 14(9). 2080–2080. 16 indexed citations

3.

Sprüssel, Annika, Kathy Astrahantseff, Karin Schmelz, et al.. (2020). Multiplexed Quantification of Four Neuroblastoma DNA Targets in a Single Droplet Digital PCR Reaction. Journal of Molecular Diagnostics. 22(11). 1309–1323. 11 indexed citations

4.

Lodrini, Marco, Annika Sprüssel, Kathy Astrahantseff, et al.. (2017). Using droplet digital PCR to analyzeMYCNandALKcopy number in plasma from patients with neuroblastoma. Oncotarget. 8(49). 85234–85251. 50 indexed citations

5.

Pajtler, Kristian W., Sandra Ackermann, Kristina Althoff, et al.. (2016). The GSK461364 PLK1 inhibitor exhibits strong antitumoral activity in preclinical neuroblastoma models. Oncotarget. 8(4). 6730–6741. 31 indexed citations

6.

Unger, Florian T., Susanne Bentz, Jana Krüger, et al.. (2015). Precision Cut Cancer Tissue Slices in Anti-Cancer Drug Testing. 4(3). 108–108. 14 indexed citations

7.

Althoff, Kristina, Anneleen Beckers, Emma Bell, et al.. (2014). A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies. Oncogene. 34(26). 3357–3368. 87 indexed citations

8.

Pajtler, Kristian W., Theresa Thor, Annette Künkele, et al.. (2013). The KDM1A histone demethylase is a promising new target for the epigenetic therapy of medulloblastoma. Acta Neuropathologica Communications. 1(1). 19–19. 25 indexed citations

9.

Althoff, Kristina, Anneleen Beckers, Andrea Odersky, et al.. (2013). MiR‐137 functions as a tumor suppressor in neuroblastoma by downregulating KDM1A. International Journal of Cancer. 133(5). 1064–1073. 87 indexed citations

10.

Sprüssel, Annika, Johannes H. Schulte, Susanne N. Weber, et al.. (2012). Lysine-specific demethylase 1 restricts hematopoietic progenitor proliferation and is essential for terminal differentiation. Leukemia. 26(9). 2039–2051. 156 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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