Frank Skorpen

11.4k total citations · 1 hit paper
84 papers, 5.1k citations indexed

About

Frank Skorpen is a scholar working on Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Frank Skorpen has authored 84 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Physiology and 22 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Frank Skorpen's work include Pain Management and Opioid Use (17 papers), Pharmacological Effects and Toxicity Studies (13 papers) and DNA Repair Mechanisms (9 papers). Frank Skorpen is often cited by papers focused on Pain Management and Opioid Use (17 papers), Pharmacological Effects and Toxicity Studies (13 papers) and DNA Repair Mechanisms (9 papers). Frank Skorpen collaborates with scholars based in Norway, United Kingdom and United States. Frank Skorpen's co-authors include Hans E. Krokan, Pål Klepstad, Marit Otterlei, Stein Kaasa, Geir Slupphaug, Hilde Nilsen, Ola Dale, Mansour Akbari, Per Arne and S. Kaasa and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Frank Skorpen

84 papers receiving 5.0k citations

Hit Papers

Human and bacterial oxidative demethylases repair alkylat... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Skorpen Norway 35 2.1k 1.1k 947 876 656 84 5.1k
José A. G. Agúndez Spain 48 2.1k 1.0× 695 0.7× 149 0.2× 950 1.1× 1.3k 1.9× 295 8.4k
James A. Stewart United States 34 871 0.4× 1.0k 1.0× 1.2k 1.3× 448 0.5× 880 1.3× 110 4.7k
Mladen V. Tzvetkov Germany 31 781 0.4× 823 0.8× 234 0.2× 200 0.2× 1.1k 1.7× 122 3.3k
Glenn S. Gerhard United States 45 1.6k 0.8× 207 0.2× 218 0.2× 1.4k 1.6× 364 0.6× 167 6.5k
Steven D. Heys United Kingdom 44 1.3k 0.6× 289 0.3× 149 0.2× 828 0.9× 2.2k 3.3× 171 7.4k
Janet K. Coller Australia 28 505 0.2× 426 0.4× 354 0.4× 290 0.3× 464 0.7× 78 2.4k
Robert Hume United Kingdom 47 2.0k 1.0× 2.1k 2.0× 51 0.1× 840 1.0× 504 0.8× 174 7.2k
Martin Wehling Germany 46 2.3k 1.1× 327 0.3× 78 0.1× 590 0.7× 312 0.5× 249 8.6k
W. Lorenz Germany 39 1.6k 0.8× 329 0.3× 306 0.3× 641 0.7× 669 1.0× 277 5.2k
Jonathan Moss United States 37 625 0.3× 272 0.3× 828 0.9× 559 0.6× 208 0.3× 100 4.1k

Countries citing papers authored by Frank Skorpen

Since Specialization
Citations

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

Fields of papers citing papers by Frank Skorpen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Skorpen

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Skorpen. A scholar is included among the top collaborators of Frank Skorpen 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 Frank Skorpen. Frank Skorpen 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.
Noci, Sara, Cinzia Brunelli, Alessandra Pigni, et al.. (2024). Genomic Study in Opioid-Treated Cancer Patients Identifies Variants Associated With Nausea-Vomiting. Journal of Pain and Symptom Management. 69(2). 175–182.e5. 1 indexed citations
2.
Noci, Sara, Cinzia Brunelli, Alessandra Pigni, et al.. (2024). A genome‐wide association study of European advanced cancer patients treated with opioids identifies regulatory variants on chromosome 20 associated with pain intensity. European Journal of Pain. 29(1). e4764–e4764. 2 indexed citations
3.
Madsen, Poul Henning, Inge Søkilde Pedersen, Kristian Hveem, et al.. (2024). The prognostic role of circulating tumour DNA detected prior to clinical diagnosis of colorectal cancer in the HUNT study. BMC Cancer. 24(1). 1251–1251. 1 indexed citations
4.
Colombo, Francesca, Antonella Galvan, Sara Noci, et al.. (2020). Identification of genetic polymorphisms modulating nausea and vomiting in two series of opioid-treated cancer patients. Scientific Reports. 10(1). 542–542. 8 indexed citations
5.
Laugsand, Eivor Alette, et al.. (2020). DNA methylation markers detected in blood, stool, urine, and tissue in colorectal cancer: a systematic review of paired samples. International Journal of Colorectal Disease. 36(2). 239–251. 29 indexed citations
6.
Olesen, Anne Estrup, et al.. (2018). Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning. BMC Research Notes. 11(1). 78–78. 13 indexed citations
7.
Johnsen, Marianne Bakke, Gunnhild Åberge Vie, Bendik S. Winsvold, et al.. (2017). The causal role of smoking on the risk of hip or knee replacement due to primary osteoarthritis. a mendelian randomization analysis of the nord-trØndelag health study. Osteoarthritis and Cartilage. 25. S181–S182. 1 indexed citations
8.
Scarpi, Emanuela, Daniele Calistri, Pål Klepstad, et al.. (2014). Clinical and Genetic Factors Related to Cancer-Induced Bone Pain and Bone Pain Relief. The Oncologist. 19(12). 1276–1283. 7 indexed citations
9.
Holmen, Oddgeir L., He Zhang, Wei Zhou, et al.. (2014). No large-effect low-frequency coding variation found for myocardial infarction. Human Molecular Genetics. 23(17). 4721–4728. 5 indexed citations
10.
Åsvold, Bjørn Olav, Johan Hå‌kon Bjø‌rngaard, David Carslake, et al.. (2014). Causal associations of tobacco smoking with cardiovascular risk factors: a Mendelian randomization analysis of the HUNT Study in Norway. International Journal of Epidemiology. 43(5). 1458–1470. 56 indexed citations
11.
Kazma, Rémi, Marie‐Claude Babron, Valérie Gaborieau, et al.. (2012). Lung cancer and DNA repair genes: multilevel association analysis from the International Lung Cancer Consortium. Carcinogenesis. 33(5). 1059–1064. 29 indexed citations
12.
Klepstad, Pål, Torill Fladvad, Frank Skorpen, et al.. (2011). Influence from genetic variability on opioid use for cancer pain: A European genetic association study of 2294 cancer pain patients. Pain. 152(5). 1139–1145. 153 indexed citations
13.
Roten, Linda T., Mona Høysæter Fenstad, Siri Forsmo, et al.. (2011). A low COMT activity haplotype is associated with recurrent preeclampsia in a Norwegian population cohort (HUNT2). Molecular Human Reproduction. 17(7). 439–446. 43 indexed citations
14.
Skorpen, Frank, et al.. (2008). Variable response to opioid treatment: any genetic predictors within sight?. Palliative Medicine. 22(4). 310–327. 28 indexed citations
16.
Klepstad, Pål, S. Kaasa, Ola Dale, et al.. (2004). The 118 A > G polymorphism in the human µ‐opioid receptor gene may increase morphine requirements in patients with pain caused by malignant disease. Acta Anaesthesiologica Scandinavica. 48(10). 1232–1239. 289 indexed citations
17.
Arne, Per, Marit Otterlei, Pål Ø. Falnes, et al.. (2003). Human and bacterial oxidative demethylases repair alkylation damage in both RNA and DNA. Nature. 421(6925). 859–863. 528 indexed citations breakdown →
18.
Skorpen, Frank, et al.. (1998). Paracetamol increases sensitivity to ultraviolet (UV) irradiation, delays repair of the UNG-gene and recovery of RNA synthesis in HaCaT cells. Chemico-Biological Interactions. 110(1-2). 123–136. 4 indexed citations
20.
Haug, Terje, et al.. (1994). Structure of the gene for human uracil—DNA glycosylase and analysis of the promoter function. FEBS Letters. 353(2). 180–184. 19 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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