Karl Johan Tronstad

3.2k total citations
61 papers, 1.9k citations indexed

About

Karl Johan Tronstad is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Karl Johan Tronstad has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 20 papers in Cancer Research and 13 papers in Physiology. Recurrent topics in Karl Johan Tronstad's work include Peroxisome Proliferator-Activated Receptors (22 papers), Cancer, Hypoxia, and Metabolism (13 papers) and Mitochondrial Function and Pathology (12 papers). Karl Johan Tronstad is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (22 papers), Cancer, Hypoxia, and Metabolism (13 papers) and Mitochondrial Function and Pathology (12 papers). Karl Johan Tronstad collaborates with scholars based in Norway, United States and Denmark. Karl Johan Tronstad's co-authors include Rolf K. Berge, Kjetil Berge, Lise Madsen, Gro Vatne Røsland, Hanne R. Hagland, Hege Vaagenes, Bjørn Tore Gjertsen, Oddrun Anita Gudbrandsen, Øystein Bruserud and Øystein Fluge and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Karl Johan Tronstad

59 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Johan Tronstad Norway 28 1.1k 366 342 227 214 61 1.9k
Yasuhiro Irino Japan 27 1.1k 1.0× 432 1.2× 386 1.1× 228 1.0× 117 0.5× 62 2.1k
Rui Zhan China 23 1.4k 1.3× 566 1.5× 501 1.5× 181 0.8× 258 1.2× 53 2.4k
Nanda M. Verhoeven‐Duif Netherlands 27 1.2k 1.1× 223 0.6× 354 1.0× 111 0.5× 207 1.0× 83 2.3k
Vincent Bérézowski France 25 880 0.8× 280 0.8× 244 0.7× 330 1.5× 514 2.4× 49 2.5k
Philippe Thuillier France 23 767 0.7× 178 0.5× 226 0.7× 213 0.9× 179 0.8× 70 1.5k
Xiaodong Fu China 30 818 0.7× 310 0.8× 212 0.6× 112 0.5× 267 1.2× 92 2.2k
Colin A. Flaveny United States 22 1.2k 1.1× 444 1.2× 251 0.7× 148 0.7× 362 1.7× 34 2.8k
Takanobu Taniguchi Japan 33 1.5k 1.4× 186 0.5× 473 1.4× 166 0.7× 152 0.7× 105 3.1k
Dominique Thomas Germany 30 1.2k 1.1× 149 0.4× 456 1.3× 218 1.0× 163 0.8× 124 2.4k
Giovanni M. Pitari United States 22 1.1k 1.0× 197 0.5× 500 1.5× 89 0.4× 392 1.8× 53 2.4k

Countries citing papers authored by Karl Johan Tronstad

Since Specialization
Citations

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

Fields of papers citing papers by Karl Johan Tronstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Johan Tronstad. 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 Karl Johan Tronstad. The network helps show where Karl Johan Tronstad may publish in the future.

Co-authorship network of co-authors of Karl Johan Tronstad

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Johan Tronstad. A scholar is included among the top collaborators of Karl Johan Tronstad 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 Karl Johan Tronstad. Karl Johan Tronstad 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.
Dyrstad, Sissel E., et al.. (2025). Mapping of Functional Metabolic Phenotypes in Acute Myeloid Leukemia. Cancer Medicine. 14(10). e70950–e70950. 1 indexed citations
2.
Rekeland, Ingrid G., Kari Sørland, Ove Bruland, et al.. (2022). Activity monitoring and patient-reported outcome measures in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome patients. PLoS ONE. 17(9). e0274472–e0274472. 5 indexed citations
3.
Hoel, Fredrik, Ina K. N. Pettersen, Ingrid G. Rekeland, et al.. (2021). A map of metabolic phenotypes in patients with myalgic encephalomyelitis/chronic fatigue syndrome. JCI Insight. 6(16). 34 indexed citations
4.
Osman, Tarig, Fredrik Hoel, Tony Chen, et al.. (2021). Axl‐inhibitor bemcentinib alleviates mitochondrial dysfunction in the unilateral ureter obstruction murine model. Journal of Cellular and Molecular Medicine. 25(15). 7407–7417. 14 indexed citations
5.
Røsland, Gro Vatne, et al.. (2021). Metformin treatment response is dependent on glucose growth conditions and metabolic phenotype in colorectal cancer cells. Scientific Reports. 11(1). 10487–10487. 18 indexed citations
6.
7.
Fosså, Alexander, Knut B. Smeland, Øystein Fluge, et al.. (2020). Metabolic analysis of amino acids and vitamin B6 pathways in lymphoma survivors with cancer related chronic fatigue. PLoS ONE. 15(1). e0227384–e0227384. 13 indexed citations
8.
Walter, Jonas, Silvia Bolognin, Paul Antony, et al.. (2019). Neural Stem Cells of Parkinson's Disease Patients Exhibit Aberrant Mitochondrial Morphology and Functionality. Stem Cell Reports. 12(5). 878–889. 74 indexed citations
9.
Røsland, Gro Vatne, Karl Johan Tronstad, Pål R. Njølstad, et al.. (2019). The homeobox factor Irx3 maintains adipogenic identity. Metabolism. 103. 154014–154014. 14 indexed citations
10.
Tusubira, Deusdedit, Sissel E. Dyrstad, Lena Hansen, et al.. (2019). Upregulated PDK4 expression is a sensitive marker of increased fatty acid oxidation. Mitochondrion. 49. 97–110. 94 indexed citations
11.
Dyrstad, Sissel E., Deusdedit Tusubira, Stian Knappskog, Karl Johan Tronstad, & Gro Vatne Røsland. (2018). Introducing nano-scale quantitative polymerase chain reaction. Biochemical and Biophysical Research Communications. 506(4). 923–926. 6 indexed citations
12.
Hagland, Hanne R., et al.. (2012). Induction of mitochondrial biogenesis and respiration is associated with mTOR regulation in hepatocytes of rats treated with the pan-PPAR activator tetradecylthioacetic acid (TTA). Biochemical and Biophysical Research Communications. 430(2). 573–578. 12 indexed citations
13.
14.
Wergedahl, Hege, Kjetil Berge, Pavol Bohov, et al.. (2008). Long Term Treatment with Tetradecylthioacetic Acid Improves the Antioxidant Status in Obese Zucker (fa/fa) Rats. Drug Metabolism Letters. 2(2). 138–145. 4 indexed citations
15.
Hagland, Hanne R., et al.. (2007). Targeting mitochondria in the treatment of human cancer: a coordinated attack against cancer cell energy metabolism and signalling. Expert Opinion on Therapeutic Targets. 11(8). 1055–1069. 20 indexed citations
16.
Bruserud, Øystein, Camilla Stapnes, Karl Johan Tronstad, et al.. (2006). Protein lysine acetylation in normal and leukaemic haematopoiesis: HDACs as possible therapeutic targets in adult AML. Expert Opinion on Therapeutic Targets. 10(1). 51–68. 40 indexed citations
17.
Fernø, Johan, Maria B. Ræder, Audun Osland Vik‐Mo, et al.. (2005). Antipsychotic drugs activate SREBP-regulated expression of lipid biosynthetic genes in cultured human glioma cells: a novel mechanism of action?. The Pharmacogenomics Journal. 5(5). 298–304. 132 indexed citations
18.
Berge, Rolf K., Karl Johan Tronstad, Kjetil Berge, et al.. (2004). The metabolic syndrome and the hepatic fatty acid drainage hypothesis. Biochimie. 87(1). 15–20. 61 indexed citations
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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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