David M. Thomson

5.4k total citations · 1 hit paper
136 papers, 4.1k citations indexed

About

David M. Thomson is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, David M. Thomson has authored 136 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 49 papers in Immunology and 37 papers in Physiology. Recurrent topics in David M. Thomson's work include Metabolism, Diabetes, and Cancer (32 papers), Immunotherapy and Immune Responses (32 papers) and Adipose Tissue and Metabolism (29 papers). David M. Thomson is often cited by papers focused on Metabolism, Diabetes, and Cancer (32 papers), Immunotherapy and Immune Responses (32 papers) and Adipose Tissue and Metabolism (29 papers). David M. Thomson collaborates with scholars based in United States, Canada and United Kingdom. David M. Thomson's co-authors include W. W. Winder, Phil Gold, Samuel O. Freedman, John Krupey, Scott E. Gordon, Nina Grosser, Jacques Marti, Natasha Fillmore, John K. MacFarlane and Peter Alexander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

David M. Thomson

128 papers receiving 3.8k citations

Hit Papers

THE RADIOIMMUNOASSAY OF C... 1969 2026 1988 2007 1969 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Thomson 2.1k 946 897 755 526 136 4.1k
Stuart J. Frank 2.7k 1.3× 956 1.0× 1.5k 1.7× 1.8k 2.4× 410 0.8× 144 7.1k
Hisakazu Ogita 2.4k 1.1× 474 0.5× 690 0.8× 465 0.6× 281 0.5× 100 4.9k
Christian A. Vedeler 1.4k 0.7× 403 0.4× 1.0k 1.1× 540 0.7× 652 1.2× 196 6.1k
L. Vicentini 2.6k 1.3× 855 0.9× 684 0.8× 629 0.8× 328 0.6× 106 5.0k
Bernd Nürnberg 4.3k 2.1× 638 0.7× 991 1.1× 578 0.8× 425 0.8× 153 6.6k
Norman S. Wolf 2.5k 1.2× 1.5k 1.6× 710 0.8× 383 0.5× 268 0.5× 67 5.2k
Johannes Vogel 1.7k 0.8× 865 0.9× 785 0.9× 297 0.4× 457 0.9× 102 4.6k
Pnina Fishman 1.7k 0.8× 278 0.3× 1.1k 1.2× 773 1.0× 338 0.6× 161 4.9k
Ross Clark 2.0k 1.0× 1.0k 1.1× 1.3k 1.4× 1.2k 1.5× 377 0.7× 87 6.9k
Junji Nishimura 2.7k 1.3× 1.5k 1.6× 523 0.6× 619 0.8× 198 0.4× 276 5.6k

Countries citing papers authored by David M. Thomson

Since Specialization
Citations

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

Fields of papers citing papers by David M. Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Thomson. 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 David M. Thomson. The network helps show where David M. Thomson may publish in the future.

Co-authorship network of co-authors of David M. Thomson

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Thomson. A scholar is included among the top collaborators of David M. Thomson 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 David M. Thomson. David M. Thomson 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
3.
Thomson, David M., et al.. (2023). 16p11.2 deletion mice exhibit compromised fronto-temporal connectivity, GABAergic dysfunction, and enhanced attentional ability. Communications Biology. 6(1). 557–557. 4 indexed citations
4.
Baudot, Alice D., Victoria M.-Y. Wang, Jim O’Prey, et al.. (2022). Glycan degradation promotes macroautophagy. Proceedings of the National Academy of Sciences. 119(26). e2111506119–e2111506119. 7 indexed citations
5.
Chen, Ting, Jonathon T. Hill, Timothy M. Moore, et al.. (2020). Lack of skeletal muscle liver kinase B1 alters gene expression, mitochondrial content, inflammation and oxidative stress without affecting high-fat diet-induced obesity or insulin resistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(8). 165805–165805. 6 indexed citations
6.
Segalés, Jessica, Eusebio Perdiguero, Antonio L. Serrano, et al.. (2020). Sestrin prevents atrophy of disused and aging muscles by integrating anabolic and catabolic signals. Nature Communications. 11(1). 189–189. 106 indexed citations
7.
Bristow, Greg C., et al.. (2020). 16p11 Duplication Disrupts Hippocampal-Orbitofrontal-Amygdala Connectivity, Revealing a Neural Circuit Endophenotype for Schizophrenia. Cell Reports. 31(3). 107536–107536. 22 indexed citations
8.
Thomson, David M., et al.. (2020). Drug-responsive autism phenotypes in the 16p11.2 deletion mouse model: a central role for gene-environment interactions. Scientific Reports. 10(1). 12303–12303. 13 indexed citations
9.
Thomson, David M., et al.. (2018). Disruption of the Zdhhc9 intellectual disability gene leads to behavioural abnormalities in a mouse model. Experimental Neurology. 308. 35–46. 22 indexed citations
10.
Henriksen, Bradley S., et al.. (2013). The effects of chronic AMPK activation on hepatic triglyceride accumulation and glycerol 3-phosphate acyltransferase activity with high fat feeding. Diabetology & Metabolic Syndrome. 5(1). 29–29. 42 indexed citations
11.
Brown, Jacob D., et al.. (2010). Effect of LKB1 deficiency on mitochondrial content, fibre type and muscle performance in the mouse diaphragm. Acta Physiologica. 201(4). 457–466. 11 indexed citations
12.
Thomson, David M., Jacob D. Brown, Natasha Fillmore, et al.. (2009). AMP‐activated protein kinase response to contractions and treatment with the AMPK activator AICAR in young adult and old skeletal muscle. The Journal of Physiology. 587(9). 2077–2086. 31 indexed citations
13.
Gordon, Scott E., et al.. (2008). Does AMP-Activated Protein Kinase Negatively Mediate Aged Fast-Twitch Skeletal Muscle Mass?. Exercise and Sport Sciences Reviews. 36(4). 179–186. 31 indexed citations
14.
Thomson, David M., et al.. (2008). AMPK activation attenuates S6K1, 4E-BP1, and eEF2 signaling responses to high-frequency electrically stimulated skeletal muscle contractions. Journal of Applied Physiology. 104(3). 625–632. 119 indexed citations
15.
Winder, W. W. & David M. Thomson. (2007). Cellular energy sensing and signaling by AMP-activated protein kinase. Cell Biochemistry and Biophysics. 47(3). 332–347. 117 indexed citations
16.
Thomson, David M. & Scott E. Gordon. (2005). Diminished overload-induced hypertrophy in aged fast-twitch skeletal muscle is associated with AMPK hyperphosphorylation. Journal of Applied Physiology. 98(2). 557–564. 91 indexed citations
17.
Ståhl, Elisabeth, et al.. (2000). Cost-effectiveness analysis of budesonide aqueous nasal spray and fluticasone propionate nasal spray in the treatment of perennial allergic rhinitis. Annals of Allergy Asthma & Immunology. 84(4). 397–402. 13 indexed citations
18.
Thomson, David M., et al.. (1988). Measurement by Leukocyte Adherence Inhibition of Autosensitization of Cancer Patients to Myelin Basic Protein. Japanese Journal of Cancer Research. 79(4). 529–537. 2 indexed citations
19.
Gagnon, Raymonde F., Peter J. Somerville, & David M. Thomson. (1988). Circulating Form of Beta-2-Microglobulin in Dialysis Patients. American Journal of Nephrology. 8(5). 379–383. 4 indexed citations
20.
Shenouda, George, David M. Thomson, & John K. MacFarlane. (1984). Requirement for autologous cancer extracts and lipoxygenation of arachidonic acid for human T-cell responses in leukocyte adherence inhibition and transmembrane potential change assays.. PubMed. 44(3). 1238–45. 9 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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