Daniel Hübschmann

22.6k total citations · 1 hit paper
44 papers, 611 citations indexed

About

Daniel Hübschmann is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniel Hübschmann has authored 44 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Daniel Hübschmann's work include Cancer Genomics and Diagnostics (11 papers), Bioinformatics and Genomic Networks (11 papers) and Gene expression and cancer classification (9 papers). Daniel Hübschmann is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Bioinformatics and Genomic Networks (11 papers) and Gene expression and cancer classification (9 papers). Daniel Hübschmann collaborates with scholars based in Germany, United States and United Kingdom. Daniel Hübschmann's co-authors include Zuguang Gu, Matthias Schlesner, Stefan Fröhling, Carolin Andresen, Roland Eils, Albrecht Stenzinger, Simon Kreutzfeldt, Christoph E. Heilig, Martina Kirchner and Peter Schirmacher and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Daniel Hübschmann

39 papers receiving 606 citations

Hit Papers

align trajectories

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.

SimplifyEnrichment : A Bioconductor Package for Clustering and Visualizing Functional Enrichment Results

2022 131 citations Zuguang Gu, Daniel Hübschmann profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Hübschmann Germany	12	335	135	124	77	77	44	611
Isabel Pereira‐Castro Portugal	13	434 1.3×	214 1.6×	114 0.9×	49 0.6×	64 0.8×	25	796
Xiaowei Guan China	11	220 0.7×	119 0.9×	111 0.9×	82 1.1×	60 0.8×	31	498
Emma Black United Kingdom	8	436 1.3×	123 0.9×	143 1.2×	68 0.9×	133 1.7×	11	694
Dilafruz Juraeva Germany	12	351 1.0×	143 1.1×	213 1.7×	44 0.6×	131 1.7×	24	687
Xiaopei Shen China	12	314 0.9×	82 0.6×	85 0.7×	55 0.7×	36 0.5×	32	565
Tamás Garay Hungary	18	332 1.0×	237 1.8×	92 0.7×	90 1.2×	78 1.0×	36	712
Huihan Wang China	16	620 1.9×	114 0.8×	187 1.5×	104 1.4×	51 0.7×	66	947
Amy Guillaumet-Adkins Spain	15	627 1.9×	163 1.2×	155 1.3×	74 1.0×	61 0.8×	19	846

Countries citing papers authored by Daniel Hübschmann

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Hübschmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hübschmann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gu, Zuguang, Joschka Hey, Dieter Weichenhan, et al.. (2025). DNMT3A-dependent DNA methylation shapes the endothelial enhancer landscape. Nucleic Acids Research. 53(10). 1 indexed citations

Rieke, Damian, Michael Bitzer, Annalen Bleckmann, et al.. (2025). Precision oncology – Guideline of the Austrian, German and Swiss Societies for hematology and medical oncology. European Journal of Cancer. 220. 115331–115331.

Ziener, Christian H., Jennifer Hüllein, Jörg Richter, et al.. (2025). Monitoring soluble cMET and ctDNA in metastatic uveal melanoma patients to track early disease progression on immunotherapies. Journal of Experimental & Clinical Cancer Research. 44(1). 213–213.

Rheinnecker, Michael, Barbara Hutter, Martina Fröhlich, et al.. (2023). 131O A composite biomarker for evaluation of homologous recombination repair deficiency in a pan-cancer cohort. Annals of Oncology. 34. S233–S233. 1 indexed citations

Teleanu, Maria‐Veronica, Carmina Teresa Fuß, Nagarajan Paramasivam, et al.. (2023). Targeted therapy of advanced parathyroid carcinoma guided by genomic and transcriptomic profiling. Molecular Oncology. 17(7). 1343–1355. 7 indexed citations

Schlenk, Richard F., Małgorzata Oleś, Sebastian Bauer, et al.. (2023). 1940P Deep molecular profiling of advanced synovial sarcoma as a basis for interventional clinical trials. Annals of Oncology. 34. S1042–S1042.

Gu, Zuguang & Daniel Hübschmann. (2022). Improve consensus partitioning via a hierarchical procedure. Briefings in Bioinformatics. 23(3). 1 indexed citations

Gu, Zuguang & Daniel Hübschmann. (2022). rGREAT : an R/bioconductor package for functional enrichment on genomic regions. Bioinformatics. 39(1). 53 indexed citations

Rempel, Eugen, Klaus Kluck, Susanne Beck, et al.. (2022). Pan-cancer analysis of genomic scar patterns caused by homologous repair deficiency (HRD). npj Precision Oncology. 6(1). 36–36. 49 indexed citations

10.

Sakhtemani, Ramin, et al.. (2022). Human activation-induced deaminase lacks strong replicative strand bias or preference for cytosines in hairpin loops. Nucleic Acids Research. 50(9). 5145–5157. 4 indexed citations

11.

Gu, Zuguang & Daniel Hübschmann. (2021). Make Interactive Complex Heatmaps in R. Bioinformatics. 38(5). 1460–1462. 153 indexed citations

12.

Gu, Zuguang & Daniel Hübschmann. (2021). spiralize : an R package for visualizing data on spirals. Bioinformatics. 38(5). 1434–1436. 9 indexed citations

13.

Maurus, Katja, Corinna Kosnopfel, Hermann Kneitz, et al.. (2021). Cutaneous epithelioid haemangiomas show somatic mutations in the mitogen‐activated protein kinase pathway. British Journal of Dermatology. 186(3). 553–563. 2 indexed citations

14.

Bailey, Peter J., Daniel Hübschmann, Anne Berger, et al.. (2020). Poly(ADP‐ribose) polymerase inhibition in pancreatic cancer. Genes Chromosomes and Cancer. 60(5). 373–384. 15 indexed citations

15.

Quintero, Andrés, Daniel Hübschmann, Nils Kurzawa, et al.. (2020). ShinyButchR: Interactive NMF-based decomposition workflow of genome-scale datasets. Biology Methods and Protocols. 5(1). bpaa022–bpaa022. 9 indexed citations

16.

Whalley, Justin P., Ivo Buchhalter, Esther Rheinbay, et al.. (2020). Framework for quality assessment of whole genome cancer sequences. Nature Communications. 11(1). 5040–5040. 4 indexed citations

17.

Beck, Katja, Louise Harewood, Peter Stewart, et al.. (2020). Detection of Structural Variants in Circulating Cell-Free DNA from Sarcoma Patients Using Next Generation Sequencing. Cancers. 12(12). 3627–3627. 13 indexed citations

18.

Mazur, Johanna, et al.. (2019). Genetic Interactions and Tissue Specificity Modulate the Association of Mutations with Drug Response. Molecular Cancer Therapeutics. 19(3). 927–936. 6 indexed citations

19.

Hübschmann, Daniel & Matthias Schlesner. (2019). Evaluation of Whole Genome Sequencing Data. Methods in molecular biology. 1956. 321–336. 5 indexed citations

20.

Kunz, Joachim B., Margit Happich, Susanna Esposito, et al.. (2016). Newborn screening for severe combined immunodeficiency using a novel and simplified method to measure T-cell excision circles (TREC). Clinical Immunology. 175. 51–55. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Isabel Pereira‐Castro Breakdown of academic impact, for papers by Xiaowei Guan Breakdown of academic impact, for papers by Emma Black Breakdown of academic impact, for papers by Dilafruz Juraeva Breakdown of academic impact, for papers by Xiaopei Shen Breakdown of academic impact, for papers by Tamás Garay Breakdown of academic impact, for papers by Huihan Wang Breakdown of academic impact, for papers by Amy Guillaumet-Adkins