Torben Ørntoft

8.7k citations
49 papers · 2.9k indexed · h-index 25

Torben Ørntoft

48 papers receiving 2.9k citations

Peers

Torben Ørntoft
Comparison fields: 5 of 125
  • Cancer Research 748
  • Endocrinology, Diabetes and Metabolism 431
  • Molecular Biology 1.6k
  • Genetics 604
  • Surgery 834
Replace Ying‐Hue Lee with:
Ying‐Hue Lee United States
Martine I. Darville Belgium
Alessandro Cama Italy
Peng Yue United States
Narin Osman Australia
Laurent O. Martinez France
Ross W. Milne Canada
Li‐Shin Huang United States
Danhong Lu United States
Nada Y. Kalaany United States
Torben Ørntoft relative to Ying‐Hue Lee United States Ying‐Hue Lee's profile →
Citations per field
00.5×2.7×
Ying‐Hue Lee · 1×
Citations per year

Countries citing papers authored by Torben Ørntoft

Since Specialization
Citations

This map shows the geographic impact of Torben 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 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 Ørntoft more than expected).

Fields of papers citing papers by Torben Ørntoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Torben Ørntoft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Torben Ørntoft Line = papers co-authored together Torben Ørntoft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201930
2 201811
3 201829
4 2016170
5 20122
6 2011142
7 200958
8 20089
9 200714
10 2006137
11 200621
12 2005214
13 200510
14 2005220
15 200526
16 20046
17 2004106
18 2003191
19 2001254
20 20009

About Torben Ørntoft

Torben Ørntoft is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Genetics, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Cancer-related molecular mechanisms research (10 papers), Epigenetics and DNA Methylation (8 papers), Bladder and Urothelial Cancer Treatments (7 papers), Pancreatic function and diabetes (7 papers), MicroRNA in disease regulation (5 papers), Diabetes and associated disorders (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (748 citations), Endocrinology, Diabetes and Metabolism (431 citations), Molecular Biology (1.6k citations), Genetics (604 citations) and Surgery (834 citations). Torben Ørntoft has collaborated with scholars based in Denmark, Belgium and United States. Frequent co-authors include Mogens Kruhøffer, Décio L. Eizirik, Alessandra K. Cardozo, Burak Kutlu, Karina D. Sørensen, Thomas Thykjær, Lars Dyrskjøt, Siri H. Strand, Harry Heimberg and Yves Heremans. Their work appears in journals such as Cancer Research, British Journal of Cancer, Diabetes, International Journal of Molecular Sciences and International Journal of Cancer.

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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