Torben F. Ørntoft

32.4k total citations · 2 hit papers
261 papers, 23.0k citations indexed

About

Torben F. Ørntoft is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Torben F. Ørntoft has authored 261 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Molecular Biology, 80 papers in Cancer Research and 67 papers in Surgery. Recurrent topics in Torben F. Ørntoft's work include Bladder and Urothelial Cancer Treatments (55 papers), Genetic factors in colorectal cancer (36 papers) and Epigenetics and DNA Methylation (36 papers). Torben F. Ørntoft is often cited by papers focused on Bladder and Urothelial Cancer Treatments (55 papers), Genetic factors in colorectal cancer (36 papers) and Epigenetics and DNA Methylation (36 papers). Torben F. Ørntoft collaborates with scholars based in Denmark, United States and Germany. Torben F. Ørntoft's co-authors include Claus L. Andersen, Jens Ledet Jensen, Lars Dyrskjøt, Mogens Kruhøffer, Hans Wolf, Michael Borre, Thomas Thykjær, Karin Birkenkamp‐Demtröder, Karina D. Sørensen and Søren Laurberg and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Torben F. Ørntoft

260 papers receiving 22.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets

2004 5.9k citations Claus L. Andersen, Jens Ledet Jensen et al. Cancer Research profile →
An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes

2017 353 citations Christa Haldrup, Jesper B. Bramsen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torben F. Ørntoft Denmark	76	15.0k	7.0k	3.7k	3.5k	2.5k	261	23.0k
Rajvir Dahiya United States	72	13.6k 0.9×	6.9k 1.0×	1.7k 0.5×	2.1k 0.6×	2.7k 1.1×	344	19.3k
Agnès Viale United States	64	12.1k 0.8×	3.9k 0.6×	1.4k 0.4×	5.4k 1.6×	2.9k 1.2×	139	20.7k
Xin‐Yuan Guan China	85	18.3k 1.2×	8.7k 1.2×	2.0k 0.5×	7.9k 2.3×	2.6k 1.1×	645	28.7k
Gideon Rechavi Israel	80	18.6k 1.2×	6.0k 0.9×	1.4k 0.4×	3.7k 1.1×	1.3k 0.5×	405	27.0k
Joseph R. Testa United States	83	14.1k 0.9×	3.9k 0.6×	1.5k 0.4×	5.4k 1.6×	5.9k 2.4×	347	24.5k
Li Mao China	66	10.0k 0.7×	3.6k 0.5×	1.7k 0.5×	5.6k 1.6×	2.5k 1.0×	357	16.8k
Wan L. Lam Canada	69	11.8k 0.8×	6.1k 0.9×	1.1k 0.3×	3.2k 0.9×	2.8k 1.2×	311	18.4k
Yifang Hu Australia	19	15.4k 1.0×	6.2k 0.9×	1.4k 0.4×	3.9k 1.1×	4.8k 2.0×	32	26.0k
Matthew E. Ritchie Australia	41	18.8k 1.3×	6.8k 1.0×	1.8k 0.5×	4.0k 1.2×	5.2k 2.1×	117	31.1k
Charity W. Law Australia	15	16.8k 1.1×	6.5k 0.9×	1.5k 0.4×	3.6k 1.0×	5.0k 2.0×	22	28.0k

Countries citing papers authored by Torben F. Ørntoft

Since Specialization

Citations

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

Fields of papers citing papers by Torben F. Ørntoft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torben F. Ørntoft. 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 Torben F. Ørntoft. The network helps show where Torben F. Ørntoft may publish in the future.

Co-authorship network of co-authors of Torben F. Ørntoft

This figure shows the co-authorship network connecting the top 25 collaborators of Torben F. Ørntoft. A scholar is included among the top collaborators of Torben F. Ørntoft 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 Torben F. Ørntoft. Torben F. Ørntoft 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

Schøler, Lone V., Thomas Reinert, Mai‐Britt W. Ørntoft, et al.. (2017). Clinical Implications of Monitoring Circulating Tumor DNA in Patients with Colorectal Cancer. Clinical Cancer Research. 23(18). 5437–5445. 230 indexed citations

Mundbjerg, Kamilla, Sameer Chopra, Mehrdad Alemozaffar, et al.. (2017). Identifying aggressive prostate cancer foci using a DNA methylation classifier. Genome biology. 18(1). 3–3. 43 indexed citations

Lamy, Philippe, Iver Nordentoft, Karin Birkenkamp‐Demtröder, et al.. (2016). Paired Exome Analysis Reveals Clonal Evolution and Potential Therapeutic Targets in Urothelial Carcinoma. Cancer Research. 76(19). 5894–5906. 68 indexed citations

Kristensen, Helle, Christa Haldrup, Siri H. Strand, et al.. (2014). Hypermethylation of the GABRE∼miR-452∼miR-224 Promoter in Prostate Cancer Predicts Biochemical Recurrence after Radical Prostatectomy. Clinical Cancer Research. 20(8). 2169–2181. 73 indexed citations

Ongen, Halit, Claus L. Andersen, Jesper B. Bramsen, et al.. (2014). Putative cis-regulatory drivers in colorectal cancer. Nature. 512(7512). 87–90. 94 indexed citations

Kandimalla, Raju, Roy Masius, Willemien Beukers, et al.. (2013). A 3-Plex Methylation Assay Combined with the FGFR3 Mutation Assay Sensitively Detects Recurrent Bladder Cancer in Voided Urine. Clinical Cancer Research. 19(17). 4760–4769. 51 indexed citations

Gurzov, Esteban N., Jenny Barthson, Ihsane Marhfour, et al.. (2011). Pancreatic β-cells activate a JunB/ATF3-dependent survival pathway during inflammation. Oncogene. 31(13). 1723–1732. 31 indexed citations

Jorissen, Robert N., Peter Gibbs, Michael Christie, et al.. (2009). Metastasis-Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer. Clinical Cancer Research. 15(24). 7642–7651. 343 indexed citations

Dyrskjøt, Lars, Marie S. Ostenfeld, Jesper B. Bramsen, et al.. (2009). Genomic Profiling of MicroRNAs in Bladder Cancer: miR-129 Is Associated with Poor Outcome and Promotes Cell Death In vitro. Cancer Research. 69(11). 4851–4860. 315 indexed citations

10.

Sørensen, Karina D., Peter J. Wild, Ashkan Mortezavi, et al.. (2009). Genetic and Epigenetic SLC18A2 Silencing in Prostate Cancer Is an Independent Adverse Predictor of Biochemical Recurrence after Radical Prostatectomy. Clinical Cancer Research. 15(4). 1400–1410. 25 indexed citations

11.

Braun, Christian, Xin Zhang, Sonja Wolff, et al.. (2008). p53-Responsive MicroRNAs 192 and 215 Are Capable of Inducing Cell Cycle Arrest. Cancer Research. 68(24). 10094–10104. 388 indexed citations

12.

Schepeler, Troels, Thomas Reinert, Marie S. Ostenfeld, et al.. (2008). Diagnostic and Prognostic MicroRNAs in Stage II Colon Cancer. Cancer Research. 68(15). 6416–6424. 419 indexed citations

13.

Jorissen, Robert N., Lara Lipton, Peter Gibbs, et al.. (2008). DNA Copy-Number Alterations Underlie Gene Expression Differences between Microsatellite Stable and Unstable Colorectal Cancers. Clinical Cancer Research. 14(24). 8061–8069. 75 indexed citations

14.

Cybulski, Cezary, Rainer Lehtonen, Maija Kiuru, et al.. (2006). Germline fumarate hydratase mutations in patients with ovarian mucinous cystadenoma. European Journal of Human Genetics. 14(7). 880–883. 22 indexed citations

15.

Zieger, Karsten, Lars Dyrskjøt, Carsten Wiuf, et al.. (2005). Role of Activating Fibroblast Growth Factor Receptor 3 Mutations in the Development of Bladder Tumors. Clinical Cancer Research. 11(21). 7709–7719. 76 indexed citations

16.

Dyrskjøt, Lars, Karsten Zieger, Mogens Kruhøffer, et al.. (2005). A Molecular Signature in Superficial Bladder Carcinoma Predicts Clinical Outcome. Clinical Cancer Research. 11(11). 4029–4036. 108 indexed citations

17.

Koed, Karen, Carsten Wiuf, Lise-Lotte Christensen, et al.. (2005). High-Density Single Nucleotide Polymorphism Array Defines Novel Stage and Location-Dependent Allelic Imbalances in Human Bladder Tumors. Cancer Research. 65(1). 34–45. 68 indexed citations

18.

Fedele, Monica, Sabrina Battista, Francesca Pentimalli, et al.. (2004). Identification of the Genes Up- and Down-Regulated by the High Mobility Group A1 (HMGA1) Proteins. Cancer Research. 64(16). 5728–5735. 40 indexed citations

19.

Andersen, Claus L., Jens Ledet Jensen, & Torben F. Ørntoft. (2004). Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets. Cancer Research. 64(15). 5245–5250. 5912 indexed citations breakdown →

20.

Andersen, Jørn, et al.. (1987). GYNECOMASTIA Immunohistochemical Demonstration of Estrogen Receptors. Acta Pathologica Microbiologica Scandinavica Series A Pathology. 95A(1-6). 263–267. 8 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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