Hans P.M.M. Lauritzen

1.3k total citations
17 papers, 998 citations indexed

About

Hans P.M.M. Lauritzen is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Hans P.M.M. Lauritzen has authored 17 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Physiology and 5 papers in Surgery. Recurrent topics in Hans P.M.M. Lauritzen's work include Adipose Tissue and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (10 papers) and Muscle Physiology and Disorders (7 papers). Hans P.M.M. Lauritzen is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (10 papers) and Muscle Physiology and Disorders (7 papers). Hans P.M.M. Lauritzen collaborates with scholars based in United States, Denmark and United Kingdom. Hans P.M.M. Lauritzen's co-authors include H. Galbo, Laurie J. Goodyear, Thorkil Ploug, C. Ronald Kahn, Michael F. Hirshman, Hua Ai, Brian T. O’Neill, Graham Smyth, Clara Prats and Josef Brandauer and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cell Metabolism.

In The Last Decade

Hans P.M.M. Lauritzen

17 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans P.M.M. Lauritzen United States 15 601 502 221 203 178 17 998
Jakob G. Knudsen Denmark 19 321 0.5× 517 1.0× 366 1.7× 246 1.2× 112 0.6× 38 1.1k
Audrey L. Hildebrandt United States 8 640 1.1× 311 0.6× 185 0.8× 89 0.4× 125 0.7× 9 1.1k
Irena A. Rebalka Canada 11 513 0.9× 421 0.8× 114 0.5× 260 1.3× 92 0.5× 27 830
Scott D. Dufresne United States 17 903 1.5× 562 1.1× 182 0.8× 75 0.4× 282 1.6× 22 1.4k
Janne R. Hingst Denmark 15 949 1.6× 682 1.4× 176 0.8× 157 0.8× 281 1.6× 27 1.5k
Hector BeltrandelRio United States 10 552 0.9× 415 0.8× 488 2.2× 92 0.5× 173 1.0× 13 1.1k
Frank W. Booth United States 12 502 0.8× 319 0.6× 130 0.6× 93 0.5× 185 1.0× 17 847
Timur Naim Australia 17 759 1.3× 453 0.9× 121 0.5× 63 0.3× 172 1.0× 36 960
Ekaterina Chernogubova Sweden 19 398 0.7× 356 0.7× 184 0.8× 169 0.8× 63 0.4× 32 925
Mary K. Treutelaar United States 17 609 1.0× 310 0.6× 383 1.7× 57 0.3× 149 0.8× 25 980

Countries citing papers authored by Hans P.M.M. Lauritzen

Since Specialization
Citations

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

Fields of papers citing papers by Hans P.M.M. Lauritzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans P.M.M. Lauritzen. 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 Hans P.M.M. Lauritzen. The network helps show where Hans P.M.M. Lauritzen may publish in the future.

Co-authorship network of co-authors of Hans P.M.M. Lauritzen

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

All Works

17 of 17 papers shown
1.
Softic, Samir, Jesse G. Meyer, Manoj Gupta, et al.. (2019). Dietary Sugars Alter Hepatic Fatty Acid Oxidation via Transcriptional and Post-translational Modifications of Mitochondrial Proteins. Cell Metabolism. 30(4). 735–753.e4. 160 indexed citations
2.
Lehnig, Adam C., Revati S. Dewal, Lisa A. Baer, et al.. (2019). Exercise Training Induces Depot-Specific Adaptations to White and Brown Adipose Tissue. iScience. 11. 425–439. 86 indexed citations
3.
Lauritzen, Hans P.M.M., Brian T. O’Neill, Chih‐Hao Wang, et al.. (2019). Role of p110a subunit of PI3-kinase in skeletal muscle mitochondrial homeostasis and metabolism. Nature Communications. 10(1). 3412–3412. 20 indexed citations
4.
O’Neill, Brian T., Hans P.M.M. Lauritzen, Michael F. Hirshman, et al.. (2015). Differential Role of Insulin/IGF-1 Receptor Signaling in Muscle Growth and Glucose Homeostasis. Cell Reports. 11(8). 1220–1235. 126 indexed citations
5.
Lauritzen, Hans P.M.M., Josef Brandauer, Peter Schjerling, et al.. (2013). Contraction and AICAR Stimulate IL-6 Vesicle Depletion From Skeletal Muscle Fibers In Vivo. Diabetes. 62(9). 3081–3092. 53 indexed citations
6.
Kleinridders, André, Hans P.M.M. Lauritzen, Siegfried Ussar, et al.. (2013). Leptin regulation of Hsp60 impacts hypothalamic insulin signaling. Journal of Clinical Investigation. 123(11). 4667–4680. 99 indexed citations
7.
Lauritzen, Hans P.M.M.. (2012). Insulin- and Contraction-Induced Glucose Transporter 4 Traffic in Muscle. Exercise and Sport Sciences Reviews. 41(2). 77–86. 31 indexed citations
8.
Lauritzen, Hans P.M.M.. (2010). Imaging of Protein Translocation In Situ in Skeletal Muscle of Living Mice. Methods in molecular biology. 637. 231–244. 6 indexed citations
9.
Lauritzen, Hans P.M.M., H. Galbo, Tarō Toyoda, & Laurie J. Goodyear. (2010). Kinetics of Contraction-Induced GLUT4 Translocation in Skeletal Muscle Fibers From Living Mice. Diabetes. 59(9). 2134–2144. 64 indexed citations
10.
Lauritzen, Hans P.M.M. & Jonathan D. Schertzer. (2010). Measuring GLUT4 translocation in mature muscle fibers. American Journal of Physiology-Endocrinology and Metabolism. 299(2). E169–E179. 34 indexed citations
12.
Lauritzen, Hans P.M.M., H. Galbo, Josef Brandauer, Laurie J. Goodyear, & Thorkil Ploug. (2007). Large GLUT4 Vesicles Are Stationary While Locally and Reversibly Depleted During Transient Insulin Stimulation of Skeletal Muscle of Living Mice. Diabetes. 57(2). 315–324. 58 indexed citations
13.
Lauritzen, Hans P.M.M., Thorkil Ploug, Hua Ai, et al.. (2007). Denervation and High-Fat Diet Reduce Insulin Signaling in T-Tubules in Skeletal Muscle of Living Mice. Diabetes. 57(1). 13–23. 33 indexed citations
14.
Lauritzen, Hans P.M.M., Thorkil Ploug, Clara Prats, Jeremy M. Tavaré, & H. Galbo. (2006). Imaging of Insulin Signaling in Skeletal Muscle of Living Mice Shows Major Role of T-Tubules. Diabetes. 55(5). 1300–1306. 70 indexed citations
15.
Ai, Hua, Evelyn Ralston, Hans P.M.M. Lauritzen, H. Galbo, & Thorkil Ploug. (2003). Disruption of microtubules in rat skeletal muscle does not inhibit insulin- or contraction-stimulated glucose transport. American Journal of Physiology-Endocrinology and Metabolism. 285(4). E836–E844. 24 indexed citations
16.
Lauritzen, Hans P.M.M., Christine Reynet, Peter Schjerling, et al.. (2002). Gene gun bombardment-mediated expression and translocation of EGFP-tagged GLUT4 in skeletal muscle fibres in vivo. Pflügers Archiv - European Journal of Physiology. 444(6). 710–721. 26 indexed citations
17.
Ai, Hua, Jacob Ihlemann, Ylva Hellsten, et al.. (2002). Effect of fiber type and nutritional state on AICAR- and contraction-stimulated glucose transport in rat muscle. American Journal of Physiology-Endocrinology and Metabolism. 282(6). E1291–E1300. 96 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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