Claudia Scholl

12.5k citations
72 papers · 4.2k indexed · 2 hit papers · h-index 32
Topics
Acute Myeloid Leukemia Research (31 papers)Chronic Myeloid Leukemia Treatments (13 papers)Protein Degradation and Inhibitors (11 papers)

In The Last Decade

Claudia Scholl

71 papers receiving 4.1k citations

Hit Papers

Mutant nucleophosmin (NPM1) predicts favorable prognosis ...200520262012201920052021200400600

Peers

Claudia Scholl
Comparison fields: 5 of 93
  • Molecular Biology 2.7k
  • Hematology 2.0k
  • Oncology 688
  • Genetics 676
  • Cancer Research 674
Replace Andrei V. Krivtsov with:
Andrei V. Krivtsov United States
Norihiko Kawamata Japan
Kristina Anderson Sweden
Faiyaz Notta Canada
Maria Luisa Sulis United States
Thomas Mercher France
Brenda Chyla United States
Kolja Eppert Canada
María D. Odero Spain
Peter van Galen United States
Claudia Scholl relative to Andrei V. Krivtsov United States Andrei V. Krivtsov's profile →
Citations per field
00.5×4.5×
Andrei V. Krivtsov · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 7
3 13
4 9
5
Accurate and efficient detection of gene fusions from RNA sequencing databreakdown →
208
6 11
7 11
8 45
9 19
10 51
11
Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias
1
12 217
13
Musashi-2 regulates normal hematopoiesis and promotes aggressive myeloid leukemia
2
14 13
15 416
16 118
17 59
18 24
19 21
20 8

About Claudia Scholl

Claudia Scholl is a scholar working on Hematology, Genetics and Molecular Biology, having authored 72 papers that have together received 4.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (31 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Protein Degradation and Inhibitors (11 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (676 citations) and Cancer Research (674 citations). Claudia Scholl has collaborated with scholars based in Germany, United States and France. Frequent 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. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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