Karoline Skogen

905 total citations
23 papers, 675 citations indexed

About

Karoline Skogen is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Karoline Skogen has authored 23 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Neurology. Recurrent topics in Karoline Skogen's work include Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (6 papers). Karoline Skogen is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (6 papers). Karoline Skogen collaborates with scholars based in Norway, United Kingdom and Netherlands. Karoline Skogen's co-authors include Balaji Ganeshan, Kenneth A. Miles, Ian Pressney, Eirik Helseth, Anselm Schulz, Johann Baptist Dormagen, Andrés Server, Giles Critchley, Catriona D. Good and Nada Anđelić and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Karoline Skogen

23 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karoline Skogen Norway 9 488 152 149 127 113 23 675
Georg Bier Germany 16 309 0.6× 109 0.7× 125 0.8× 99 0.8× 57 0.5× 47 566
Jay Patel United States 15 447 0.9× 205 1.3× 179 1.2× 96 0.8× 58 0.5× 31 725
Jackson Hamilton United States 12 128 0.3× 164 1.1× 131 0.9× 143 1.1× 67 0.6× 29 507
Sandra Canale France 13 297 0.6× 134 0.9× 169 1.1× 121 1.0× 65 0.6× 36 712
Beomseok Sohn South Korea 11 257 0.5× 44 0.3× 136 0.9× 91 0.7× 113 1.0× 39 499
Marie Nicod Lalonde Switzerland 14 344 0.7× 113 0.7× 172 1.2× 84 0.7× 169 1.5× 49 621
Emine Şebnem Durmaz Türkiye 15 672 1.4× 127 0.8× 349 2.3× 102 0.8× 94 0.8× 26 915
Giuseppe Salvaggio Italy 17 369 0.8× 31 0.2× 277 1.9× 199 1.6× 56 0.5× 57 795
Lenhard Pennig Germany 17 425 0.9× 75 0.5× 288 1.9× 73 0.6× 26 0.2× 91 841
Shiteng Suo China 19 923 1.9× 72 0.5× 198 1.3× 117 0.9× 77 0.7× 65 1.1k

Countries citing papers authored by Karoline Skogen

Since Specialization
Citations

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

Fields of papers citing papers by Karoline Skogen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karoline Skogen

This figure shows the co-authorship network connecting the top 25 collaborators of Karoline Skogen. A scholar is included among the top collaborators of Karoline Skogen 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 Karoline Skogen. Karoline Skogen 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.
Storås, Tryggve Holck, Svein Are Sirirud Vatnehol, Einar Osland Vik-Mo, et al.. (2025). Deep learning-based Intraoperative MRI reconstruction. European Radiology Experimental. 9(1). 29–29. 1 indexed citations
2.
Maria, Lucio De, Hwan-ho Cho, Karoline Skogen, et al.. (2024). The Current Diagnostic Performance of MRI-Based Radiomics for Glioma Grading: A Meta-Analysis. Journal of Integrative Neuroscience. 23(5). 100–100. 4 indexed citations
3.
Skogen, Karoline, Bradley J. MacIntosh, Kyrre E. Emblem, et al.. (2024). Standardized evaluation of the extent of resection in glioblastoma with automated early post-operative segmentation. SHILAP Revista de lepidopterología. 4. 1357341–1357341. 2 indexed citations
4.
Mdala, Ibrahimu, Henriette Magelssen, Mette Sprauten, et al.. (2024). The impact of cancer patient pathway on timing of radiotherapy and survival: a cohort study in glioblastoma patients. Journal of Neuro-Oncology. 169(1). 137–145. 1 indexed citations
5.
MacIntosh, Bradley J., Qinghui Liu, Till Schellhorn, et al.. (2023). Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury. Frontiers in Neurology. 14. 1244672–1244672. 4 indexed citations
6.
Magelssen, Henriette, Mette Sprauten, Tom Børge Johannesen, et al.. (2023). Incidence and outcome of pseudoprogression after radiation therapy in glioblastoma patients: A cohort study. Neuro-Oncology Practice. 11(1). 36–45. 4 indexed citations
7.
Karlberg, Anna, Anne Jarstein Skjulsvik, Ole Solheim, et al.. (2023). Diagnostic accuracy of anti-3-[18F]-FACBC PET/MRI in gliomas. European Journal of Nuclear Medicine and Molecular Imaging. 51(2). 496–509. 5 indexed citations
8.
Leske, Henning, Marius Lund‐Iversen, Pitt Niehusmann, et al.. (2023). Astrocytoma (CNS WHO grade 4), IDH‐mutant with co‐occurrence of BRAF p.V600E mutation, and homozygous loss of CDKN2A. Neuropathology. 43(5). 385–390. 3 indexed citations
9.
Aarhus, Mads, et al.. (2022). Incidence of emergency neurosurgical TBI procedures: a population-based study. BMC Emergency Medicine. 22(1). 1–1. 17 indexed citations
10.
Skogen, Karoline, et al.. (2021). Bilateral calcification of the optic nerve sheath: A diagnostic dilemma. American Journal of Ophthalmology Case Reports. 22. 101106–101106. 4 indexed citations
11.
Rønning, Pål, Karoline Skogen, Tor Brommeland, et al.. (2020). Traumatic brain injury—the effects of patient age on treatment intensity and mortality. BMC Neurology. 20(1). 376–376. 49 indexed citations
12.
Aarhus, Mads, et al.. (2020). Characteristics of traumatic brain injury patients with abnormal neuroimaging in Southeast Norway. Injury Epidemiology. 7(1). 45–45. 16 indexed citations
13.
Skogen, Karoline, Anselm Schulz, Eirik Helseth, et al.. (2018). Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis. Acta Radiologica. 60(3). 356–366. 56 indexed citations
14.
Helseth, Eirik, et al.. (2018). Hyperbaric oxygen therapy of air embolus in the cerebral venous sinuses after intracranial surgery: a case report. Acta Neurochirurgica. 160(7). 1401–1405. 2 indexed citations
15.
Skogen, Karoline, Anselm Schulz, Johann Baptist Dormagen, et al.. (2016). Diagnostic performance of texture analysis on MRI in grading cerebral gliomas. European Journal of Radiology. 85(4). 824–829. 133 indexed citations
16.
Skogen, Karoline, et al.. (2012). Stakeholder perspectives on the use of positron emission tomography in phase III oncology trials in the UK. Nuclear Medicine Communications. 33(6). 626–632. 1 indexed citations
17.
Skogen, Karoline, Balaji Ganeshan, Catriona D. Good, Giles Critchley, & Kenneth A. Miles. (2012). Measurements of heterogeneity in gliomas on computed tomography relationship to tumour grade. Journal of Neuro-Oncology. 111(2). 213–219. 72 indexed citations
18.
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20.
Skogen, Karoline, Balaji Ganeshan, Thomas H. Good, Giles Critchley, & Kenneth A. Miles. (2011). Imaging heterogeneity in gliomas using texture analysis. Cancer Imaging. 11(1A). S113–S113. 12 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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