Claudia Scholl

12.5k total citations · 2 hit papers
72 papers, 4.2k citations indexed

About

Claudia Scholl is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Claudia Scholl has authored 72 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 33 papers in Hematology and 12 papers in Genetics. Recurrent topics in Claudia Scholl's work include Acute Myeloid Leukemia Research (31 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Protein Degradation and Inhibitors (11 papers). Claudia Scholl is often cited by papers focused on Acute Myeloid Leukemia Research (31 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Protein Degradation and Inhibitors (11 papers). Claudia Scholl collaborates with scholars based in Germany, United States and France. Claudia Scholl's co-authors include Stefan Fröhling, Konstanze Döhner, Lars Bullinger, D. Gary Gilliland, Hartmut Döhner, Richard F. Schlenk, Frank G. Rücker, Andrea Corbacioglu, Ross L. Levine and Marianne Habdank and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Claudia Scholl

71 papers receiving 4.1k citations

Hit Papers

Mutant nucleophosmin (NPM1) predicts favorable prognosis ... 2005 2026 2012 2019 2005 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Scholl Germany 32 2.7k 2.0k 688 676 674 72 4.2k
Klaus H. Metzeler Germany 29 2.3k 0.9× 2.6k 1.3× 1.0k 1.5× 825 1.2× 912 1.4× 115 4.3k
María D. Odero Spain 32 1.8k 0.7× 1.3k 0.6× 476 0.7× 603 0.9× 482 0.7× 88 2.9k
Kristina Anderson Sweden 21 2.1k 0.8× 2.1k 1.1× 891 1.3× 545 0.8× 654 1.0× 30 4.1k
Andrei V. Krivtsov United States 28 4.6k 1.7× 2.6k 1.3× 885 1.3× 427 0.6× 604 0.9× 49 5.7k
Claudia Erpelinck-Verschueren Netherlands 25 3.1k 1.2× 3.4k 1.7× 313 0.5× 970 1.4× 673 1.0× 46 4.6k
T J Ley United States 13 3.3k 1.2× 3.2k 1.6× 452 0.7× 923 1.4× 1.1k 1.7× 13 4.9k
Thoas Fioretos Sweden 39 2.5k 1.0× 2.5k 1.2× 981 1.4× 1.1k 1.7× 983 1.5× 153 5.6k
Brenda Chyla United States 28 2.5k 1.0× 2.9k 1.5× 968 1.4× 1.5k 2.2× 287 0.4× 84 4.8k
Marc Loriaux United States 34 2.0k 0.7× 2.2k 1.1× 808 1.2× 2.1k 3.1× 323 0.5× 98 4.5k
Norihiko Kawamata Japan 38 2.2k 0.8× 745 0.4× 1.4k 2.0× 610 0.9× 588 0.9× 96 4.0k

Countries citing papers authored by Claudia Scholl

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Scholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Scholl

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Scholl. A scholar is included among the top collaborators of Claudia Scholl 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 Claudia Scholl. Claudia Scholl 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.
Lee, Kwang Seok, Susanne Häfner, Bianca Altvater, et al.. (2024). Exploiting WEE1 Kinase Activity as FUS::DDIT3-Dependent Therapeutic Vulnerability in Myxoid Liposarcoma. Clinical Cancer Research. 30(21). 4974–4986. 1 indexed citations
2.
Martins, Leila R., Lina Sieverling, Cihan Erkut, et al.. (2024). Single-cell division tracing and transcriptomics reveal cell types and differentiation paths in the regenerating lung. Nature Communications. 15(1). 2246–2246. 7 indexed citations
3.
Möck, Andreas, et al.. (2023). Transcriptome profiling for precision cancer medicine using shallow nanopore cDNA sequencing. Scientific Reports. 13(1). 2378–2378. 13 indexed citations
4.
Uhrig, Sebastian, Julia Ellermann, Tatjana Walther, et al.. (2021). Accurate and efficient detection of gene fusions from RNA sequencing data. Genome Research. 31(3). 448–460. 208 indexed citations breakdown →
5.
Jensen, Patrizia, Michela Carlet, Richard F. Schlenk, et al.. (2020). Requirement for LIM kinases in acute myeloid leukemia. Leukemia. 34(12). 3173–3185. 11 indexed citations
6.
Feuerbach, Lars, Lina Sieverling, Katharina I. Deeg, et al.. (2019). TelomereHunter – in silico estimation of telomere content and composition from cancer genomes. BMC Bioinformatics. 20(1). 272–272. 45 indexed citations
7.
Korzeniewski, Nina, Samuel Peña‐Llopis, Claudia Scholl, et al.. (2019). Cullin 5 is a novel candidate tumor suppressor in renal cell carcinoma involved in the maintenance of genome stability. Oncogenesis. 8(1). 4–4. 11 indexed citations
8.
Martins, Leila R., Stefan Koch, Karsten Richter, et al.. (2017). Stk33 is required for spermatid differentiation and male fertility in mice. Developmental Biology. 433(1). 84–93. 19 indexed citations
9.
Zhou, Chun, Esteban Martı́nez, Daniela Di Marcantonio, et al.. (2016). JUN is a key transcriptional regulator of the unfolded protein response in acute myeloid leukemia. Leukemia. 31(5). 1196–1205. 63 indexed citations
10.
Azoitei, Ninel, Kristina Diepold, Cornelia Brunner, et al.. (2014). HSP90 Supports Tumor Growth and Angiogenesis through PRKD2 Protein Stabilization. Cancer Research. 74(23). 7125–7136. 51 indexed citations
11.
Bullinger, Lars, Christine Ragu, Angela Garding, et al.. (2012). CDX2-driven leukemogenesis involves KLF4 repression and deregulated PPARγ signaling. Journal of Clinical Investigation. 123(1). 299–314. 41 indexed citations
12.
Liu, Jianing, Thomas Mercher, Claudia Scholl, et al.. (2012). A functional role for the histone demethylase UTX in normal and malignant hematopoietic cells. Experimental Hematology. 40(6). 487–498.e3. 23 indexed citations
13.
Sykes, Stephen M., Lars Bullinger, Rukh Yusuf, et al.. (2011). Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias. Experimental Hematology. 39(8). 1 indexed citations
14.
Sykes, Stephen M., Steven Lane, Lars Bullinger, et al.. (2011). AKT/FOXO Signaling Enforces Reversible Differentiation Blockade in Myeloid Leukemias. Cell. 146(5). 697–708. 217 indexed citations
15.
Sykes, Stephen M., Steven Lane, Lars Bullinger, et al.. (2011). AKT/FOXO Signaling Enforces Reversible Differentiation Blockade in Myeloid Leukemias. Cell. 147(1). 247–247. 2 indexed citations
16.
Kharas, Michael G., Christopher J. Lengner, Fátima Al‐Shahrour, et al.. (2010). Musashi-2 regulates normal hematopoiesis and promotes aggressive myeloid leukemia. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
17.
Koo, Sun Hoe, Brian J.P. Huntly, Yuan Wang, et al.. (2010). Cdx4 is dispensable for murine adult hematopoietic stem cells but promotes MLL-AF9-mediated leukemogenesis. Haematologica. 95(10). 1642–1650. 13 indexed citations
18.
Rücker, Frank G., Lars Bullinger, Carsten Schwäenen, et al.. (2006). Disclosure of Candidate Genes in Acute Myeloid Leukemia With Complex Karyotypes Using Microarray-Based Molecular Characterization. Journal of Clinical Oncology. 24(24). 3887–3894. 107 indexed citations
19.
Fröhling, Stefan, Richard F. Schlenk, Jürgen Krauter, et al.. (2005). Acute myeloid leukemia with deletion 9q within a noncomplex karyotype is associated with CEBPA loss‐of‐function mutations. Genes Chromosomes and Cancer. 42(4). 427–432. 24 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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