Brigitte Schlegelberger

33.7k total citations · 2 hit papers
395 papers, 16.3k citations indexed

About

Brigitte Schlegelberger is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Brigitte Schlegelberger has authored 395 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Molecular Biology, 159 papers in Hematology and 92 papers in Genetics. Recurrent topics in Brigitte Schlegelberger's work include Acute Myeloid Leukemia Research (132 papers), Chronic Lymphocytic Leukemia Research (60 papers) and Lymphoma Diagnosis and Treatment (59 papers). Brigitte Schlegelberger is often cited by papers focused on Acute Myeloid Leukemia Research (132 papers), Chronic Lymphocytic Leukemia Research (60 papers) and Lymphoma Diagnosis and Treatment (59 papers). Brigitte Schlegelberger collaborates with scholars based in Germany, United States and United Kingdom. Brigitte Schlegelberger's co-authors include Arnold Ganser, Gudrun Göhring, Jürgen Krauter, Konstanze Döhner, W. Grote, Hartmut Döhner, Cornelia Rudolph, Nils von Neuhoff, Doris Steinemann and Hans Kreipe and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Brigitte Schlegelberger

384 papers receiving 16.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutations and Treatment Outcome in Cytogenetically Normal Acute Myeloid Leukemia

2008 1.1k citations Lars Bullinger, Brigitte Schlegelberger et al. profile →
Oncogene-induced senescence as an initial barrier in lymphoma development

2005 969 citations Cornelia Rudolph, Brigitte Schlegelberger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brigitte Schlegelberger Germany	66	7.8k	6.7k	3.7k	2.9k	2.6k	395	16.3k
Seishi Ogawa Japan	69	8.3k 1.1×	5.1k 0.8×	2.0k 0.5×	2.8k 0.9×	2.4k 0.9×	474	16.1k
D. Gary Gilliland United States	62	8.4k 1.1×	8.1k 1.2×	4.2k 1.1×	2.8k 0.9×	1.7k 0.6×	126	16.2k
Nicholas C.P. Cross United Kingdom	75	7.1k 0.9×	11.5k 1.7×	8.5k 2.3×	2.2k 0.7×	1.3k 0.5×	395	19.9k
Robert P. Hasserjian United States	48	4.6k 0.6×	9.3k 1.4×	6.3k 1.7×	2.9k 1.0×	1.3k 0.5×	285	16.2k
Gerard C. Grosveld United States	65	10.8k 1.4×	6.8k 1.0×	3.8k 1.0×	6.6k 2.2×	1.8k 0.7×	158	21.9k
Stephen D. Nimer United States	64	7.5k 1.0×	6.8k 1.0×	2.8k 0.8×	3.4k 1.1×	1000 0.4×	239	14.6k
Jaroslaw P. Maciejewski United States	78	6.9k 0.9×	11.7k 1.8×	6.2k 1.7×	2.2k 0.7×	1.8k 0.7×	678	21.1k
Roland Berger France	68	10.2k 1.3×	9.2k 1.4×	4.7k 1.3×	3.0k 1.0×	1.3k 0.5×	356	18.7k
Nora Heisterkamp United States	57	6.7k 0.9×	7.4k 1.1×	4.9k 1.3×	2.4k 0.8×	881 0.3×	220	15.2k
Mineo Kurokawa Japan	57	6.0k 0.8×	5.2k 0.8×	1.8k 0.5×	2.1k 0.7×	1.0k 0.4×	455	12.8k

Countries citing papers authored by Brigitte Schlegelberger

Since Specialization

Citations

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

Fields of papers citing papers by Brigitte Schlegelberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brigitte Schlegelberger

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

All Works

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20 of 20 papers shown

Oeltze‐Jafra, Steffen, et al.. (2024). Deciphering the needs of patients with hereditary breast and ovarian Cancer in the Process of Genetic Counseling to Inform the Development of a Mobile Support App: a qualitative study in Germany. Journal of Community Genetics. 15(6). 603–613. 2 indexed citations

Becker, Sarah, Stephan Bartels, Tim Ripperger, et al.. (2023). A Novel Alu Element Insertion in ATM Induces Exon Skipping in Suspected HBOC Patients. Human Mutation. 2023. 1–10. 1 indexed citations

Agarwal, Anupriya, Jane E. Churpek, Nicolas Duployez, et al.. (2022). Validation and clinical application of transactivation assays forRUNX1variant classification. Blood Advances. 6(11). 3195–3200. 4 indexed citations

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

Behrens, Yvonne Lisa, Andrea Schienke, Jana Lentes, et al.. (2021). BCR-ABL1 positive AML or CML in blast crisis? A pediatric case report with inv(3) and t(9;22) in the initial clone. Cancer Genetics. 254-255. 70–74. 3 indexed citations

Morlot, Susanne, Gunnar Schmidt, Bernd Auber, et al.. (2020). De novo missense variants in the RAP1B gene identified in two patients with syndromic thrombocytopenia. Clinical Genetics. 98(4). 374–378. 5 indexed citations

Kurtz, Stefanie, Andrea Lucas‐Hahn, Brigitte Schlegelberger, et al.. (2020). Knockout of the HMG domain of the porcine SRY gene causes sex reversal in gene-edited pigs. Proceedings of the National Academy of Sciences. 118(2). 30 indexed citations

Golas, Monika M., Bernd Auber, Tim Ripperger, et al.. (2019). Looking for the hidden mutation: Bannayan–Riley–Ruvalcaba syndrome caused by constitutional and mosaic 10q23 microdeletions involving PTEN and BMPR1A. American Journal of Medical Genetics Part A. 179(7). 1383–1389. 9 indexed citations

Jutzi, Jonas S., S Kaiser, Doris Steinemann, et al.. (2019). Altered NFE2 activity predisposes to leukemic transformation and myelosarcoma with AML-specific aberrations. Blood. 133(16). 1766–1777. 20 indexed citations

10.

Christgen, Matthias, Mieke Raap, Peter Braubach, et al.. (2016). Precise ERBB2 copy number assessment in breast cancer by means of molecular inversion probe array analysis. Oncotarget. 7(50). 82733–82740. 6 indexed citations

11.

Yoshimi, Ayami, Irith Baumann, Marek Ussowicz, et al.. (2015). Long-term results of the 'Prospective study of the diagnosis and treatment of myelodysplastic syndromes in childhood (EWOG-MDS98)'. Haematologica. 100. 1–1. 3 indexed citations

12.

Middeke, Jan Moritz, Dietrich W. Beelen, Michael Stadler, et al.. (2012). Outcome of high-risk acute myeloid leukemia after allogeneic hematopoietic cell transplantation: negative impact of abnl(17p) and −5/5q−. Blood. 120(12). 2521–2528. 42 indexed citations

13.

Jädersten, Martin, Leonie Saft, Alexander Smith, et al.. (2011). TP53 Mutations in Low-Risk Myelodysplastic Syndromes With del(5q) Predict Disease Progression. Journal of Clinical Oncology. 29(15). 1971–1979. 332 indexed citations

14.

Templin, Christian, Daniel Kotlarz, Chozhavendan Rathinam, et al.. (2008). Establishment of immortalized multipotent hematopoietic progenitor cell lines by retroviral-mediated gene transfer of β-catenin. Experimental Hematology. 36(2). 204–215. 9 indexed citations

15.

Skawran, Britta, Marcel Tauscher, Anja Weigmann, et al.. (2006). Assessment of differentiation and progression of benign and malignant hepatic tumors using array based comparative genomic hybridization. Cancer Research. 66. 36–36. 1 indexed citations

16.

Park, Bum-Joon, Young Sun Oh, Seung‐Yong Park, et al.. (2006). AIMP3 Haploinsufficiency Disrupts Oncogene-Induced p53 Activation and Genomic Stability. Cancer Research. 66(14). 6913–6918. 49 indexed citations

17.

Giagounidis, Aristoteles, Sabine Haase, Michael Heinsch, et al.. (2006). Lenalidomide in the context of complex karyotype or interrupted treatment: case reviews of del(5q)MDS patients with unexpected responses. Annals of Hematology. 86(2). 133–137. 22 indexed citations

18.

Martı́n-Subero, José I., Reiner Siebert, Lana Harder, et al.. (2001). Cytogenetic and molecular characterization of a patient with simultaneous B‐cell chronic lymphocytic leukemia and peripheral T‐cell lymphoma. American Journal of Hematology. 68(4). 276–279. 13 indexed citations

19.

Schlegelberger, Brigitte, et al.. (1999). Assignment<footref rid="foot01"><sup>1</sup></footref> of human proliferation associated p100 gene (C20orf1) to human chromosome band 20q11.2 by in situ hybridization. Cytogenetic and Genome Research. 84(3-4). 182–183. 17 indexed citations

20.

Ma, Zhong, Jan Cools, Peter Marynen, et al.. (1999). Inv(2)(p23q35) in anaplastic large-cell lymphoma induces constitutive ALK tyrosine kinase activation by fusion to ATIC, an enzyme involved in purine nucleotide biosynthesis. Blood. 2 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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