Thomas Galbo

497 total citations
8 papers, 292 citations indexed

About

Thomas Galbo is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Thomas Galbo has authored 8 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in Thomas Galbo's work include Genetics and Neurodevelopmental Disorders (3 papers), Pancreatic function and diabetes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Thomas Galbo is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Pancreatic function and diabetes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Thomas Galbo collaborates with scholars based in United States, Denmark and United Kingdom. Thomas Galbo's co-authors include Morten Lundh, Thomas Mandrup‐Poulsen, Steen Seier Poulsen, Bjørn Quistorff, Erica Nishimura, Varman T. Samuel, Gerald I. Shulman, Rachel J. Perry, Grith Skytte Olsen and Michael J. Jurczak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetologia.

In The Last Decade

Thomas Galbo

8 papers receiving 292 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 Galbo United States 6 197 96 71 69 53 8 292
Ann‐Christin Nyström Sweden 11 222 1.1× 82 0.9× 94 1.3× 54 0.8× 39 0.7× 15 361
Nicole Witte Germany 8 195 1.0× 58 0.6× 88 1.2× 61 0.9× 40 0.8× 10 310
Evan P. Taddeo United States 11 291 1.5× 76 0.8× 131 1.8× 71 1.0× 40 0.8× 14 411
Sophie R. Sayers United Kingdom 10 91 0.5× 78 0.8× 80 1.1× 43 0.6× 58 1.1× 10 239
Song-Shan Tang China 6 268 1.4× 62 0.6× 67 0.9× 33 0.5× 56 1.1× 16 366
Gabriele Kaiser Germany 9 158 0.8× 182 1.9× 80 1.1× 72 1.0× 132 2.5× 11 330
Takeru Sakai Japan 10 122 0.6× 62 0.6× 97 1.4× 188 2.7× 70 1.3× 11 379
Evan Chang United States 6 278 1.4× 149 1.6× 77 1.1× 56 0.8× 109 2.1× 7 354
Tijun Wu China 10 178 0.9× 106 1.1× 34 0.5× 57 0.8× 53 1.0× 15 332
Yun Cao China 11 238 1.2× 110 1.1× 105 1.5× 90 1.3× 36 0.7× 15 535

Countries citing papers authored by Thomas Galbo

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Galbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Galbo

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Galbo. A scholar is included among the top collaborators of Thomas Galbo 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 Galbo. Thomas Galbo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lundh, Morten, Thomas Galbo, Steen Seier Poulsen, & Thomas Mandrup‐Poulsen. (2015). Histone deacetylase 3 inhibition improves glycaemia and insulin secretion in obese diabetic rats. Diabetes Obesity and Metabolism. 17(7). 703–707. 80 indexed citations
2.
Lee, Hui‐Young, Arijeet K. Gattu, João Paulo Camporez, et al.. (2014). Muscle-specific activation of Ca2+/calmodulin-dependent protein kinase IV increases whole-body insulin action in mice. Diabetologia. 57(6). 1232–1241. 16 indexed citations
3.
Cantley, Jennifer, Daniel F. Vatner, Thomas Galbo, et al.. (2014). Targeting steroid receptor coactivator 1 with antisense oligonucleotides increases insulin-stimulated skeletal muscle glucose uptake in chow-fed and high-fat-fed male rats. American Journal of Physiology-Endocrinology and Metabolism. 307(9). E773–E783. 2 indexed citations
4.
Galbo, Thomas, Rachel J. Perry, Michael J. Jurczak, et al.. (2013). Saturated and unsaturated fat induce hepatic insulin resistance independently of TLR-4 signaling and ceramide synthesis in vivo. Proceedings of the National Academy of Sciences. 110(31). 12780–12785. 74 indexed citations
5.
Galbo, Thomas, Rachel J. Perry, Erica Nishimura, et al.. (2013). PP2A inhibition results in hepatic insulin resistance despite Akt2 activation. Aging. 5(10). 770–781. 35 indexed citations
6.
Galbo, Thomas, Grith Skytte Olsen, Bjørn Quistorff, & Erica Nishimura. (2011). Free Fatty Acid-Induced PP2A Hyperactivity Selectively Impairs Hepatic Insulin Action on Glucose Metabolism. PLoS ONE. 6(11). e27424–e27424. 38 indexed citations
7.
Hald, Jacob, Thomas Galbo, Claude Rescan, et al.. (2011). Pancreatic islet and progenitor cell surface markers with cell sorting potential. Diabetologia. 55(1). 154–165. 43 indexed citations
8.
Galbo, Thomas, Tina Fløyel, Claus Heiner Bang‐Berthelsen, et al.. (2010). Novel monoclonal antibodies against Pdx1 reveal feedback regulation of Pdx1 protein levels. European Journal of Histochemistry. 54(2). 19–19. 4 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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