Kevin Wroblewski

1.0k total citations
9 papers, 822 citations indexed

About

Kevin Wroblewski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Kevin Wroblewski has authored 9 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Kevin Wroblewski's work include Nuclear Receptors and Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Kevin Wroblewski is often cited by papers focused on Nuclear Receptors and Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Kevin Wroblewski collaborates with scholars based in United States, France and Australia. Kevin Wroblewski's co-authors include Peter Tontonoz, Lily C. Chao, Andrea L. Hevener, Claudio J. Villanueva, Simon W. Beaven, Cynthia Hong, Steven J. Bensinger, Brian G. Drew, Laurent Vergnes and Karen Reue and has published in prestigious journals such as Gastroenterology, Molecular and Cellular Biology and Hepatology.

In The Last Decade

Kevin Wroblewski

9 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Wroblewski United States 9 336 277 268 206 148 9 822
Erik J. Tillman United States 14 835 2.5× 586 2.1× 143 0.5× 50 0.2× 109 0.7× 21 1.4k
Christine Shugrue United States 14 337 1.0× 110 0.4× 78 0.3× 55 0.3× 263 1.8× 22 717
Abraham D. Lee United States 8 342 1.0× 96 0.3× 202 0.8× 70 0.3× 148 1.0× 11 579
Piers Ruddle Canada 11 357 1.1× 128 0.5× 117 0.4× 109 0.5× 311 2.1× 11 716
László Bajnok Hungary 3 587 1.7× 164 0.6× 241 0.9× 35 0.2× 134 0.9× 14 844
Cristina Millán Spain 9 183 0.5× 443 1.6× 67 0.3× 29 0.1× 202 1.4× 12 824
Hyelin Na South Korea 10 353 1.1× 120 0.4× 59 0.2× 63 0.3× 37 0.3× 13 573
P B Wilson United States 8 604 1.8× 33 0.1× 202 0.8× 68 0.3× 102 0.7× 8 839
Gyesoon Yoon South Korea 6 359 1.1× 423 1.5× 83 0.3× 17 0.1× 71 0.5× 7 684
Yawei Han China 13 532 1.6× 144 0.5× 81 0.3× 22 0.1× 74 0.5× 14 864

Countries citing papers authored by Kevin Wroblewski

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Wroblewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Wroblewski

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

All Works

9 of 9 papers shown
1.
Tontonoz, Peter, Kevin Wroblewski, Cynthia Hong, et al.. (2015). The Orphan Nuclear Receptor Nur77 Is a Determinant of Myofiber Size and Muscle Mass in Mice. Molecular and Cellular Biology. 35(7). 1125–1138. 39 indexed citations
2.
O’Mahony, Fiona, Kevin Wroblewski, Sheila M. O’Byrne, et al.. (2014). Liver X receptors balance lipid stores in hepatic stellate cells through Rab18, a retinoid responsive lipid droplet protein. Hepatology. 62(2). 615–626. 38 indexed citations
3.
Beaven, Simon W., Aleksey V. Matveyenko, Kevin Wroblewski, et al.. (2013). Reciprocal Regulation of Hepatic and Adipose Lipogenesis by Liver X Receptors in Obesity and Insulin Resistance. Cell Metabolism. 18(1). 106–117. 118 indexed citations
4.
Villanueva, Claudio J., Laurent Vergnes, Jiexin Wang, et al.. (2013). Adipose Subtype-Selective Recruitment of TLE3 or Prdm16 by PPARγ Specifies Lipid Storage versus Thermogenic Gene Programs. Cell Metabolism. 17(3). 423–435. 122 indexed citations
5.
Chao, Lily C., Kevin Wroblewski, Olga Ilkayeva, et al.. (2012). Skeletal muscle Nur77 expression enhances oxidative metabolism and substrate utilization. Journal of Lipid Research. 53(12). 2610–2619. 70 indexed citations
6.
Villanueva, Claudio J., Hironori Waki, Cristina Godio, et al.. (2011). TLE3 Is a Dual-Function Transcriptional Coregulator of Adipogenesis. Cell Metabolism. 13(4). 413–427. 124 indexed citations
7.
Beaven, Simon W., Kevin Wroblewski, Jiaohong Wang, et al.. (2010). Liver X Receptor Signaling Is a Determinant of Stellate Cell Activation and Susceptibility to Fibrotic Liver Disease. Gastroenterology. 140(3). 1052–1062. 108 indexed citations
8.
Chao, Lily C., Kevin Wroblewski, Zidong Zhang, et al.. (2009). Insulin Resistance and Altered Systemic Glucose Metabolism in Mice Lacking Nur77. Diabetes. 58(12). 2788–2796. 124 indexed citations
9.
Chao, Lily C., Steven J. Bensinger, Claudio J. Villanueva, Kevin Wroblewski, & Peter Tontonoz. (2008). Inhibition of Adipocyte Differentiation by Nur77, Nurr1, and Nor1. Molecular Endocrinology. 22(12). 2596–2608. 79 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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