Edwin J. Landaker

3.0k total citations · 1 hit paper
8 papers, 2.5k citations indexed

About

Edwin J. Landaker is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Edwin J. Landaker has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Edwin J. Landaker's work include Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Edwin J. Landaker is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Edwin J. Landaker collaborates with scholars based in United States, Italy and Japan. Edwin J. Landaker's co-authors include Mary‐Elizabeth Patti, Allison B. Goldfine, C. Ronald Kahn, Maura Costello, Sarah Crunkhorn, Edward C. Mun, Atul J. Butte, Kenneth Cusi, Jean Finlayson and Yoshinori Miyazaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Diabetes.

In The Last Decade

Edwin J. Landaker

7 papers receiving 2.4k citations

Hit Papers

Coordinated reduction of genes of oxidative metabolism in... 2003 2026 2010 2018 2003 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin J. Landaker United States 7 1.6k 1.5k 427 400 258 8 2.5k
Nicholas D. Oakes Sweden 21 1.3k 0.8× 1.2k 0.8× 265 0.6× 425 1.1× 324 1.3× 36 2.2k
Attila Brehm Austria 17 990 0.6× 1.1k 0.7× 308 0.7× 576 1.4× 372 1.4× 19 2.2k
Philip D.G. Miles United States 25 1.5k 1.0× 1.1k 0.7× 230 0.5× 749 1.9× 336 1.3× 33 2.7k
Clemens Fürnsinn Austria 24 1.1k 0.7× 802 0.5× 152 0.4× 363 0.9× 388 1.5× 62 2.0k
Piotr Zabielski Poland 28 1.2k 0.8× 834 0.6× 311 0.7× 501 1.3× 314 1.2× 76 2.1k
Pooja Jha Switzerland 17 1.3k 0.9× 629 0.4× 185 0.4× 665 1.7× 182 0.7× 21 2.4k
Svetlana E. Nikoulina United States 23 1.7k 1.1× 936 0.6× 380 0.9× 205 0.5× 550 2.1× 32 2.5k
Tineke van de Weijer Netherlands 16 706 0.5× 1.2k 0.8× 229 0.5× 412 1.0× 106 0.4× 30 2.2k
M J Tisdale United Kingdom 25 1.2k 0.8× 1.5k 1.0× 296 0.7× 275 0.7× 77 0.3× 43 2.3k
Anthony J. Romanelli United States 8 1000 0.6× 801 0.5× 263 0.6× 922 2.3× 473 1.8× 10 2.2k

Countries citing papers authored by Edwin J. Landaker

Since Specialization
Citations

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

Fields of papers citing papers by Edwin J. Landaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin J. Landaker. 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 Edwin J. Landaker. The network helps show where Edwin J. Landaker may publish in the future.

Co-authorship network of co-authors of Edwin J. Landaker

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin J. Landaker. A scholar is included among the top collaborators of Edwin J. Landaker 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 Edwin J. Landaker. Edwin J. Landaker 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.
Patti, Mary‐Elizabeth, et al.. (2009). Differential regulation of insulin signaling by amino acids. Experimental and Clinical Endocrinology & Diabetes. 105(S 03). 11–12.
2.
Ruddock, Mark W., Aryeh D. Stein, Edwin J. Landaker, et al.. (2008). Saturated Fatty Acids Inhibit Hepatic Insulin Action by Modulating Insulin Receptor Expression and Post-receptor Signalling. The Journal of Biochemistry. 144(5). 599–607. 63 indexed citations
3.
Goldfine, Allison B., Sarah Crunkhorn, Maura Costello, et al.. (2006). Necdin and E2F4 Are Modulated by Rosiglitazone Therapy in Diabetic Human Adipose and Muscle Tissue. Diabetes. 55(3). 640–650. 17 indexed citations
4.
Patti, Mary‐Elizabeth, Atul J. Butte, Sarah Crunkhorn, et al.. (2003). Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role ofPGC1andNRF1. Proceedings of the National Academy of Sciences. 100(14). 8466–8471. 1594 indexed citations breakdown →
5.
Orban, Tihamer, Edwin J. Landaker, Zheng Ruan, et al.. (2001). High-fructose diet preserves [beta ]-cell mass and prevents diabetes in nonobese diabetic mice: A potential role for increased insulin receptor substrate-2 expression. Metabolism. 50(11). 1369–1376. 10 indexed citations
6.
Goldfine, Allison B., Mary‐Elizabeth Patti, Lubna Zuberi, et al.. (2000). Metabolic effects of vanadyl sulfate in humans with non—insulin-dependent diabetes mellitus: In vivo and in vitro studies. Metabolism. 49(3). 400–410. 147 indexed citations
7.
Patti, Mary‐Elizabeth, A Virkamäki, Edwin J. Landaker, C R Kahn, & H Yki-Järvinen. (1999). Activation of the hexosamine pathway by glucosamine in vivo induces insulin resistance of early postreceptor insulin signaling events in skeletal muscle.. Diabetes. 48(8). 1562–1571. 219 indexed citations
8.
Patti, Mary‐Elizabeth, et al.. (1998). Bidirectional modulation of insulin action by amino acids.. Journal of Clinical Investigation. 101(7). 1519–1529. 406 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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