Denise Treue

1.5k total citations
18 papers, 399 citations indexed

About

Denise Treue is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Denise Treue has authored 18 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Denise Treue's work include Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Denise Treue is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Denise Treue collaborates with scholars based in Germany, United States and United Kingdom. Denise Treue's co-authors include Frederick Klauschen, Jan Budczies, Carsten Denkert, Manfred Dietel, Michael Bockmayr, Michael Hummel, Annika Lehmann, Hermann Lage, Ruža Arsenić and Philipp Jurmeister and has published in prestigious journals such as Bioinformatics, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Denise Treue

18 papers receiving 396 citations

Peers

Denise Treue

ONCOL

PRM

GENET

Lorenza Mittempergher Netherlands

Claudia Capdevila United States

Yaning He China

Karuna Mittal United States

Duanchen Sun China

Meraj Aziz United States

Bingsheng Sun China

Masako Kurashige Japan

Zhanhuai Wang China

Hongxia Sun United States

Lorenza Mittempergher Netherlands

Denise Treue

196 ×1.0

176 ×1.1

148 ×1.0

ONCOL

76 ×0.7

PRM

36 ×0.9

GENET

Citations per year, relative to Denise Treue Denise Treue (= 1×) peers Lorenza Mittempergher

Countries citing papers authored by Denise Treue

Since Specialization

Citations

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

Fields of papers citing papers by Denise Treue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Treue

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

All Works

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18 of 18 papers shown

Obermayer, Benedikt, Konrad Klinghammer, Sebastian Ochsenreither, et al.. (2020). Distinct immune evasion in APOBEC ‐enriched, HPV ‐negative HNSCC. International Journal of Cancer. 147(8). 2293–2302. 12 indexed citations

Arndt, Jörg, Denise Treue, Philip Bischoff, et al.. (2020). Novel methods for in vitro modeling of pancreatic cancer reveal important aspects for successful primary cell culture. BMC Cancer. 20(1). 417–417. 17 indexed citations

Erdmann, Gerrit, Denise Treue, Philipp Jurmeister, et al.. (2020). Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis. Laboratory Investigation. 100(10). 1288–1299. 3 indexed citations

Sinn, Marianne, Bruno V. Sinn, Denise Treue, et al.. (2020). TP53 Mutations Predict Sensitivity to Adjuvant Gemcitabine in Patients with Pancreatic Ductal Adenocarcinoma: Next-Generation Sequencing Results from the CONKO-001 Trial. Clinical Cancer Research. 26(14). 3732–3739. 29 indexed citations

Dolnik, Anna, Uwe Kornak, Berit M. Pfitzner, et al.. (2020). TFE3 activation in a TSC1‐altered malignant PEComa: challenging the dichotomy of the underlying pathogenic mechanisms. The Journal of Pathology Clinical Research. 7(1). 3–9. 18 indexed citations

Jurmeister, Philipp, Michael Bockmayr, Philipp Seegerer, et al.. (2019). Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases. Science Translational Medicine. 11(509). 78 indexed citations

Jurmeister, Philipp, Claudia Vollbrecht, Anke Behnke, et al.. (2019). Next generation sequencing of lung adenocarcinoma subtypes with intestinal differentiation reveals distinct molecular signatures associated with histomorphology and therapeutic options. Lung Cancer. 138. 43–51. 21 indexed citations

Treue, Denise, Michael Bockmayr, Albrecht Stenzinger, et al.. (2018). Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR‐mutated lung cancer. International Journal of Cancer. 144(3). 545–557. 7 indexed citations

Niehr, Franziska, Robert Konschak, Denise Treue, et al.. (2017). Multilayered Omics-Based Analysis of a Head and Neck Cancer Model of Cisplatin Resistance Reveals Intratumoral Heterogeneity and Treatment-Induced Clonal Selection. Clinical Cancer Research. 24(1). 158–168. 41 indexed citations

10.

Sinn, M., Jan Budczies, Frédérik Damm, et al.. (2017). TP53 mutation predicts sensitivity to adjuvant gemcitabine in pancreatic cancer: Results from the CONKO-001 study. Annals of Oncology. 28. v251–v251. 3 indexed citations

11.

Budczies, Jan, Nicole Pfarr, Albrecht Stenzinger, et al.. (2016). Ioncopy: a novel method for calling copy number alterations in amplicon sequencing data including significance assessment. Oncotarget. 7(11). 13236–13247. 20 indexed citations

12.

Arsenić, Ruža, Denise Treue, Annika Lehmann, et al.. (2015). Comparison of targeted next-generation sequencing and Sanger sequencing for the detection of PIK3CA mutations in breast cancer. BMC Clinical Pathology. 15(1). 20–20. 55 indexed citations

13.

Leuenberger, Tina, Caspar F. Pfueller, Felix Luessi, et al.. (2014). Modulation of Dendritic Cell Immunobiology via Inhibition of 3-Hydroxy-3-Methylglutaryl-CoA (HMG-CoA) Reductase. PLoS ONE. 9(7). e100871–e100871. 12 indexed citations

14.

Heim, Daniel, Jan Budczies, Albrecht Stenzinger, et al.. (2014). Cancer beyond organ and tissue specificity: Next‐generation‐sequencing gene mutation data reveal complex genetic similarities across major cancers. International Journal of Cancer. 135(10). 2362–2369. 30 indexed citations

15.

Budczies, Jan, Michael Bockmayr, Denise Treue, Frederick Klauschen, & Carsten Denkert. (2014). Semiconductor sequencing: how many flows do you need?. Bioinformatics. 31(8). 1199–1203. 3 indexed citations

16.

Mantwill, Klaus, Emanuel Rognoni, Martina Anton, et al.. (2010). YB‐1 dependent virotherapy in combination with temozolomide as a multimodal therapy approach to eradicate malignant glioma. International Journal of Cancer. 129(5). 1265–1276. 27 indexed citations

17.

Kurucz, Réka, et al.. (2010). Regulation of mRNA expression in drug-sensitive and drug-resistant gastric carcinoma cells is independent of YB-1 expression.. PubMed. 30(2). 693–8. 2 indexed citations

18.

Kurucz, Réka, et al.. (2010). Effect of YB-1 on the regulation of micro RNA expression in drug-sensitive and drug-resistant gastric carcinoma cells.. PubMed. 30(2). 629–33. 21 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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