Thomas Svensson

5.3k total citations
95 papers, 2.6k citations indexed

About

Thomas Svensson is a scholar working on Molecular Biology, Mechanics of Materials and Statistics, Probability and Uncertainty. According to data from OpenAlex, Thomas Svensson has authored 95 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Mechanics of Materials and 20 papers in Statistics, Probability and Uncertainty. Recurrent topics in Thomas Svensson's work include Probabilistic and Robust Engineering Design (19 papers), Fatigue and fracture mechanics (19 papers) and Structural Health Monitoring Techniques (12 papers). Thomas Svensson is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Fatigue and fracture mechanics (19 papers) and Structural Health Monitoring Techniques (12 papers). Thomas Svensson collaborates with scholars based in Sweden, United States and United Kingdom. Thomas Svensson's co-authors include Stefan E.H. Alexson, Pernilla Johansson, Annika Ekstrand-Tobin, Göran Wadell, Mats E. Johansson, Ingrid Uhnoo, Jacques de Maré, Bengt Nelander, Gunilla Bok and Mary C. Hunt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Svensson

89 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Svensson Sweden 27 1.0k 436 322 209 183 95 2.6k
Akira Nakamura Japan 36 1.6k 1.5× 400 0.9× 170 0.5× 372 1.8× 137 0.7× 201 4.1k
Xi Wang China 38 1.8k 1.8× 363 0.8× 385 1.2× 184 0.9× 145 0.8× 247 5.3k
Takeshi Ikeda Japan 32 1.2k 1.2× 245 0.6× 63 0.2× 95 0.5× 96 0.5× 264 4.1k
Hirokazu Suzuki Japan 36 2.2k 2.2× 386 0.9× 102 0.3× 171 0.8× 106 0.6× 258 5.0k
Tōru Takeuchi Japan 41 769 0.7× 259 0.6× 43 0.1× 317 1.5× 113 0.6× 395 6.0k
Hongfei Wang China 32 1.6k 1.6× 110 0.3× 173 0.5× 134 0.6× 49 0.3× 284 4.7k
Xiang Li China 39 2.4k 2.4× 588 1.3× 202 0.6× 557 2.7× 222 1.2× 238 5.3k
Mengmeng Chen China 32 1.0k 1.0× 141 0.3× 186 0.6× 161 0.8× 75 0.4× 215 3.6k
Ramesh C. Tripathi United States 39 1.5k 1.4× 302 0.7× 51 0.2× 233 1.1× 297 1.6× 197 5.1k
Junling Wang China 31 1.3k 1.3× 160 0.4× 46 0.1× 211 1.0× 118 0.6× 199 3.7k

Countries citing papers authored by Thomas Svensson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Svensson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Svensson

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Svensson. A scholar is included among the top collaborators of Thomas Svensson 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 Thomas Svensson. Thomas Svensson 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.
Cansby, Emmelie, Marcus Henricsson, Matthias Blüher, et al.. (2024). GCKIII kinases control hepatocellular lipid homeostasis via shared mode of action. Journal of Lipid Research. 65(11). 100669–100669. 2 indexed citations
2.
3.
Cansby, Emmelie, Sima Kumari, Jonathan L. Robinson, et al.. (2022). Silencing of STE20-type kinase STK25 in human aortic endothelial and smooth muscle cells is atheroprotective. Communications Biology. 5(1). 379–379. 5 indexed citations
4.
Malm, Magdalena, Magnus Lundqvist, Marco Giudici, et al.. (2020). Evolution from adherent to suspension: systems biology of HEK293 cell line development. Scientific Reports. 10(1). 18996–18996. 69 indexed citations
5.
Svensson, Thomas & Tomas Hallberg. (2018). Infrared absorption bands measured with an uncooled interferometric LWIR hyperspectral camera. 34–34. 2 indexed citations
6.
Camp, Jeremy V., et al.. (2012). De-Novo Transcriptome Sequencing of a Normalized cDNA Pool from Influenza Infected Ferrets. PLoS ONE. 7(5). e37104–e37104. 11 indexed citations
7.
Bergman, Bo, et al.. (2009). Robust Design Methodology for Reliability; Exploring the Effects of Variation and Uncertainty. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 16 indexed citations
8.
Johannesson, Pär, et al.. (2008). Probabilistic Variation Mode and Effect Analysis: A Case of an Air Engine Component. 1 indexed citations
9.
Hunt, Mary C., et al.. (2007). Alternative exon usage selectively determines both tissue distribution and subcellular localization of the acyl-CoA thioesterase 7 gene products. Cellular and Molecular Life Sciences. 64(12). 1558–1570. 21 indexed citations
10.
Pant, Neha, Danielle Wolvers, Sandra Bezemer, et al.. (2006). Reduction in morbidity of rotavirus induced diarrhoea in mice by yeast produced monovalent llama-derived antibody fragments. Vaccine. 24(19). 4130–4137. 86 indexed citations
11.
Long, Yun Chau, Stephan Glund, Pablo M. García-Rovés, et al.. (2006). Opposite Transcriptional Regulation in Skeletal Muscle of AMP-activated Protein Kinase γ3 R225Q Transgenic Versus Knock-out Mice. Journal of Biological Chemistry. 281(11). 7244–7252. 44 indexed citations
12.
Svensson, Thomas & Ingmar Renhorn. (2003). Multispectral MWIR imaging sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4820. 116–116. 1 indexed citations
13.
14.
Malmgren, Lars & Thomas Svensson. (1999). Investigation of important parameters for unreinforced shotcrete as rock support in the Kiimnavaara Mine, Sweden. 2. 629–635. 2 indexed citations
15.
Hunt, Mary C., et al.. (1999). Peroxisome Proliferator-induced Long Chain Acyl-CoA Thioesterases Comprise a Highly Conserved Novel Multi-gene Family Involved in Lipid Metabolism. Journal of Biological Chemistry. 274(48). 34317–34326. 91 indexed citations
16.
Svensson, Thomas. (1996). Fatigue Life Prediction in Service - A Statistical Approach. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
17.
Svensson, Thomas, Stefan E.H. Alexson, & J. Kalervo Hiltunen. (1995). Very Long Chain and Long Chain Acyl-CoA Thioesterases in Rat Liver Mitochondria. Journal of Biological Chemistry. 270(20). 12177–12183. 64 indexed citations
18.
Svensson, Thomas, Mona Wilcke, & Stefan E.H. Alexson. (1995). Peroxisome Proliferators Differentially Regulate Long‐chain Acyl‐CoA Thioesterases in Rat Liver. European Journal of Biochemistry. 230(2). 813–820. 33 indexed citations
19.
Alexson, Stefan E.H., Thomas Svensson, & Jan Nedergaard. (1989). NADH-sensitive propionyl-CoA hydrolase in brown-adipose-tissue mitochondria of the rat. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1005(1). 13–19. 12 indexed citations
20.
Svensson, Thomas, Jacques de Maré, & Søren Holm. (1970). Prediction of fatigue life based on level crossings and load history. WIT transactions on engineering sciences. 6. 1 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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