Sabine Mueller

1.3k total citations
36 papers, 862 citations indexed

About

Sabine Mueller is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Sabine Mueller has authored 36 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Biomedical Engineering. Recurrent topics in Sabine Mueller's work include Glioma Diagnosis and Treatment (11 papers), Pluripotent Stem Cells Research (5 papers) and Protein Structure and Dynamics (4 papers). Sabine Mueller is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Pluripotent Stem Cells Research (5 papers) and Protein Structure and Dynamics (4 papers). Sabine Mueller collaborates with scholars based in Germany, United States and Switzerland. Sabine Mueller's co-authors include Christina Backes, Andreas Keller, Eckart Meese, Benjamin Meder, Petra Leidinger, Jan Haas, Cord Stähler, Katja Schmitt, Karen Frese and Klemens Ruprecht and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sabine Mueller

30 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabine Mueller Germany 13 559 358 119 63 48 36 862
Bastian Zimmer Germany 18 816 1.5× 77 0.2× 77 0.6× 191 3.0× 35 0.7× 27 1.3k
Junwei Liu China 12 364 0.7× 168 0.5× 75 0.6× 47 0.7× 26 0.5× 38 734
Sun‐Yong Baek South Korea 20 480 0.9× 108 0.3× 89 0.7× 43 0.7× 21 0.4× 49 1.1k
Léo Aubert France 13 295 0.5× 113 0.3× 58 0.5× 27 0.4× 38 0.8× 24 871
Ye Ji Jeong South Korea 14 183 0.3× 55 0.2× 158 1.3× 57 0.9× 48 1.0× 24 658
Guozhen Guo China 15 223 0.4× 88 0.2× 74 0.6× 143 2.3× 16 0.3× 24 690
Ludi Zhang China 15 688 1.2× 76 0.2× 77 0.6× 172 2.7× 22 0.5× 45 1.2k
An Xie China 15 420 0.8× 161 0.4× 42 0.4× 43 0.7× 50 1.0× 58 750
Johannes R. Lemke Germany 27 1.1k 2.0× 87 0.2× 83 0.7× 53 0.8× 83 1.7× 102 1.9k
Sandrine Willaime‐Morawek United Kingdom 16 493 0.9× 60 0.2× 90 0.8× 79 1.3× 29 0.6× 26 846

Countries citing papers authored by Sabine Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Mueller. A scholar is included among the top collaborators of Sabine Mueller 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 Sabine Mueller. Sabine Mueller 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.
Sumrall, Ashley, Joshua E. Allen, Stephen Bagley, et al.. (2025). Efficacy and safety of dordaviprone (ONC201) in prospective clinical trials of adult and pediatric recurrent H3 K27M-mutant diffuse glioma patients.. Journal of Clinical Oncology. 43(16_suppl). 10017–10017. 2 indexed citations
2.
Avval, Atlas Haddadi, et al.. (2025). Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma. Neuro-Oncology. 27(6). 1419–1433.
3.
Ye, Zezhong, Sanjay P. Prabhu, Michael C. Tjong, et al.. (2024). Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology Artificial Intelligence. 6(4). e230254–e230254. 7 indexed citations
5.
Hanson, Derek, Susan Chi, Steve Braunstein, et al.. (2024). ETMR-06. PNOC031 - INTERNATIONAL TRIAL FOR EMBRYONAL TUMOR WITH MULTILAYERED ROSETTES. Neuro-Oncology. 26(Supplement_4). 0–0.
6.
Isasi, Rosario, Heidi Beate Bentzen, Joel C. Glover, et al.. (2024). Dynamic governance: A new era for consent for stem cell research. Stem Cell Reports. 19(9). 1233–1241. 6 indexed citations
8.
Roberts, Holly, Karthik Ravi, Bernard L. Marini, et al.. (2024). Retrospective Comparison of Targeted Anticancer Drugs Predicted by the CNS-TAP Tool Versus Those Selected by a Molecularly Driven Tumor Board in Children With DIPG. Journal of Pediatric Hematology/Oncology. 47(1). 19–30. 1 indexed citations
10.
Bonner, Erin R., Heather Gordish‐Dressman, Surajit Bhattacharya, et al.. (2023). Pan-cancer atlas of somatic core and linker histone mutations. npj Genomic Medicine. 8(1). 23–23. 16 indexed citations
11.
Jones, Chris, Karin Straathof, Maryam Fouladi, et al.. (2023). Evaluating preclinical evidence for clinical translation in childhood brain tumours: Guidelines from the CONNECT, PNOC, and ITCC brain networks. Frontiers in Oncology. 13. 1167082–1167082.
12.
Qiu, Bo, et al.. (2023). Precision based approach to tailoring radiotherapy in the multidisciplinary management of pediatric central nervous system tumors. SHILAP Revista de lepidopterología. 3(2). 141–149. 3 indexed citations
13.
Steeg, Rachel, Sabine Mueller, Nancy Mah, et al.. (2021). EBiSC best practice: How to ensure optimal generation, qualification, and distribution of iPSC lines. Stem Cell Reports. 16(8). 1853–1867. 28 indexed citations
14.
Lermen, Dominik, Till Weber, Thomas Göen, et al.. (2020). Long-term time trend of lead exposure in young German adults – Evaluation of more than 35 Years of data of the German Environmental Specimen Bank. International Journal of Hygiene and Environmental Health. 231. 113665–113665. 42 indexed citations
15.
Mueller, Sabine, Christina Backes, Olga V. Kalinina, et al.. (2015). BALL-SNP: combining genetic and structural information to identify candidate non-synonymous single nucleotide polymorphisms. Genome Medicine. 7(1). 65–65. 7 indexed citations
16.
Mueller, Sabine, Björn Sommer, Christina Backes, et al.. (2015). From Single Variants to Protein Cascades. Journal of Biological Chemistry. 291(4). 1582–1590. 1 indexed citations
17.
Kneissl, Benny, et al.. (2014). SKINK: a web server for string kernel based kink prediction in α-helices. Bioinformatics. 30(12). 1769–1770. 2 indexed citations
18.
Keller, Andreas, Petra Leidinger, Britta Vogel, et al.. (2014). miRNAs can be generally associated with human pathologies as exemplified for miR-144*. BMC Medicine. 12(1). 224–224. 66 indexed citations
19.
Keilmann, Annerose, Andrea Bohnert, Sabine Mueller, et al.. (2010). Evaluation of auditory development in infants and toddlers who received cochlear implants under the age of 24 months with the LittlEARS® Auditory Questionnaire. International Journal of Pediatric Otorhinolaryngology. 74(10). 1149–1155. 45 indexed citations
20.
Hildebrandt, Andreas, Alexander Rurainski, Andreas Bertsch, et al.. (2010). BALL - biochemical algorithms library 1.3. BMC Bioinformatics. 11(1). 531–531. 54 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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