Anja Möricke

9.0k total citations
71 papers, 1.6k citations indexed

About

Anja Möricke is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Anja Möricke has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Public Health, Environmental and Occupational Health, 35 papers in Pediatrics, Perinatology and Child Health and 28 papers in Hematology. Recurrent topics in Anja Möricke's work include Acute Lymphoblastic Leukemia research (63 papers), Childhood Cancer Survivors' Quality of Life (32 papers) and Acute Myeloid Leukemia Research (16 papers). Anja Möricke is often cited by papers focused on Acute Lymphoblastic Leukemia research (63 papers), Childhood Cancer Survivors' Quality of Life (32 papers) and Acute Myeloid Leukemia Research (16 papers). Anja Möricke collaborates with scholars based in Germany, Austria and Switzerland. Anja Möricke's co-authors include Martin Schrappe, Martin Stanulla, Gunnar Cario, Martin Zimmermann, André Schrauder, Jochen Harbott, M Zimmermann, Andishe Attarbaschi, Günter Henze and Wolfgang Ludwig and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Cell.

In The Last Decade

Anja Möricke

70 papers receiving 1.6k citations

Peers

Anja Möricke
Katsuyoshi Koh Japan
Nick Goulden United Kingdom
Luca Lo Nigro Italy
M Amylon United States
Jukka Kanerva Finland
Emmanuelle Tavernier France
Patrick Lutz France
Ken Bradstock Australia
Concetta Micalizzi Italy
G Schaison France
Katsuyoshi Koh Japan
Anja Möricke
Citations per year, relative to Anja Möricke Anja Möricke (= 1×) peers Katsuyoshi Koh

Countries citing papers authored by Anja Möricke

Since Specialization
Citations

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

Fields of papers citing papers by Anja Möricke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Möricke

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Möricke. A scholar is included among the top collaborators of Anja Möricke 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 Anja Möricke. Anja Möricke 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.
Ceppi, Francesco, Anja Möricke, Daniela Silvestri, et al.. (2022). Near-tetraploid T-cell acute lymphoblastic leukaemia in childhood: Results of the AIEOP-BFM ALL studies. European Journal of Cancer. 175. 120–124. 2 indexed citations
2.
Lehrnbecher, Thomas, Andreas H. Groll, Simone Cesaro, et al.. (2022). Invasive fungal diseases impact on outcome of childhood ALL – an analysis of the international trial AIEOP-BFM ALL 2009. Leukemia. 37(1). 72–78. 19 indexed citations
3.
Würthwein, Gudrun, Claudia Lanvers‐Kaminsky, Joachim Gerß, et al.. (2021). Population Pharmacokinetics of PEGylated Asparaginase in Children with Acute Lymphoblastic Leukemia: Treatment Phase Dependency and Predictivity in Case of Missing Data. European Journal of Drug Metabolism and Pharmacokinetics. 46(2). 289–300. 9 indexed citations
4.
Thomay, Kathrin, Jana Lentes, Yvonne Lisa Behrens, et al.. (2021). Cryptic TCF3 fusions in childhood leukemia: Detection by RNA sequencing. Genes Chromosomes and Cancer. 61(1). 22–26. 4 indexed citations
5.
6.
Schieck, Maximilian, Jana Lentes, Kathrin Thomay, et al.. (2020). Implementation of RNA sequencing and array CGH in the diagnostic workflow of the AIEOP-BFM ALL 2017 trial on acute lymphoblastic leukemia. Annals of Hematology. 99(4). 809–818. 25 indexed citations
7.
8.
Hinze, Laura, Stefanie V. Junk, Norman W. Klein, et al.. (2017). Genome-Wide Association Study (GWAS) of High-Risk Minimal Residual Disease and Relapse in B-Cell Acute Lymphoblastic Leukemia on Trial AIEOP-BFM ALL 2000. Blood. 130. 3981–3981. 1 indexed citations
9.
Rohde, Marius, Bettina R. Bonn, Martin Zimmermann, et al.. (2017). Relevance of ID3-TCF3-CCND3 pathway mutations in pediatric aggressive B-cell lymphoma treated according to the non-Hodgkin Lymphoma Berlin-Frankfurt-Münster protocols. Haematologica. 102(6). 1091–1098. 32 indexed citations
10.
Möricke, Anja, M Zimmermann, Kirsten Bleckmann, et al.. (2015). Preexisting conditions in pediatric ALL patients: Spectrum, frequency and clinical impact. European Journal of Medical Genetics. 59(3). 143–151. 16 indexed citations
11.
Sluis, I. van der, Anja Möricke, Arend von Stackelberg, et al.. (2013). Pediatric Acute Lymphoblastic Leukemia: Efficacy and safety of recombinant E. coli-asparaginase in infants (less than one year of age) with acute lymphoblastic leukemia. Haematologica. 98(11). 1697–1701. 14 indexed citations
12.
Denk, Dagmar, Karin Nebral, Jutta Bradtke, et al.. (2012). PAX5-AUTS2: A recurrent fusion gene in childhood B-cell precursor acute lymphoblastic leukemia. Leukemia Research. 36(8). e178–e181. 24 indexed citations
13.
Lanvers‐Kaminsky, Claudia, et al.. (2011). Five‐year single‐center study of asparaginase therapy within the ALL‐BFM 2000 trial. Pediatric Blood & Cancer. 57(3). 378–384. 8 indexed citations
14.
Meyer, Lüder Hinrich, Manon Queudeville, Johann M. Kraus, et al.. (2011). Early Relapse in ALL Is Identified by Time to Leukemia in NOD/SCID Mice and Is Characterized by a Gene Signature Involving Survival Pathways. Cancer Cell. 19(2). 206–217. 60 indexed citations
15.
Burkhardt, Birgit, Ulrike Meyer, Anja Möricke, et al.. (2011). Promising therapy results for lymphoid malignancies in children with chromosomal breakage syndromes (Ataxia teleangiectasia or Nijmegen‐breakage syndrome): a retrospective survey. British Journal of Haematology. 155(4). 468–476. 36 indexed citations
16.
Stanulla, Martin, Gunnar Cario, Thomas Flohr, et al.. (2009). Quantification of free total plasma DNA and minimal residual disease detection in the plasma of children with acute lymphoblastic leukemia. Annals of Hematology. 88(9). 897–905. 26 indexed citations
17.
Borgmann‐Staudt, Anja, R. Hartmann, Ralf Herold, et al.. (2007). Secondary malignant neoplasms after intensive treatment of relapsed acute lymphoblastic leukaemia in childhood. European Journal of Cancer. 44(2). 257–268. 53 indexed citations
18.
Paulides, Marios, Riccardo Haupt, Momcilo Jankovic, et al.. (2006). Over 15 years of ELTEC: A report of the international BFM study group. Pediatric Blood & Cancer. 49(1). 113–114. 2 indexed citations
19.
Möricke, Anja, M Zimmermann, Alfred Reiter, et al.. (2005). Prognostic Impact of Age in Children and Adolescents with Acute Lymphoblastic Leukemia: Data from the Trials ALL-BFM 86, 90, and 95. Klinische Pädiatrie. 217(6). 310–320. 80 indexed citations
20.
Korte, Alexander, Anja Möricke, Birgit Beyermann, et al.. (1999). Extensive Alternative Splicing of Interleukin-7 in Malignant Hematopoietic Cells: Implication of Distinct Isoforms in Modulating IL-7 Activity. Journal of Interferon & Cytokine Research. 19(5). 495–503. 21 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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