R E Law

1.6k total citations
20 papers, 1.4k citations indexed

About

R E Law is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, R E Law has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in R E Law's work include Peroxisome Proliferator-Activated Receptors (4 papers), T-cell and Retrovirus Studies (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). R E Law is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), T-cell and Retrovirus Studies (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). R E Law collaborates with scholars based in United States, Australia and Germany. R E Law's co-authors include Willa A. Hsueh, K. Graf, William D. Coats, Daniel Wüthrich, David P. Faxon, Woerner P. Meehan, David R. Hinton, Fen Yin, André J. Van Herle and William T. Couldwell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

R E Law

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R E Law United States 15 843 270 220 196 177 20 1.4k
Ingalill Avis United States 19 911 1.1× 323 1.2× 113 0.5× 320 1.6× 425 2.4× 42 1.8k
Sung‐Jig Lim South Korea 24 766 0.9× 310 1.1× 222 1.0× 88 0.4× 387 2.2× 69 1.7k
M K Offermann United States 11 410 0.5× 162 0.6× 410 1.9× 107 0.5× 235 1.3× 14 1.3k
Sambasiva M. Rao United States 20 733 0.9× 189 0.7× 114 0.5× 154 0.8× 317 1.8× 26 1.4k
Yoshino Matsuo Japan 24 735 0.9× 137 0.5× 213 1.0× 84 0.4× 248 1.4× 65 1.6k
Ming‐Shyue Lee Taiwan 28 1.2k 1.4× 427 1.6× 263 1.2× 89 0.5× 405 2.3× 52 2.2k
Jonny Wijkander Sweden 22 793 0.9× 98 0.4× 228 1.0× 97 0.5× 119 0.7× 29 1.2k
Masako Ogawa Japan 18 593 0.7× 113 0.4× 205 0.9× 155 0.8× 187 1.1× 54 1.5k
Fernando Gómez Spain 18 857 1.0× 234 0.9× 63 0.3× 85 0.4× 163 0.9× 56 1.5k
Shu‐Wing Ng United States 22 1.1k 1.3× 698 2.6× 378 1.7× 186 0.9× 250 1.4× 41 2.2k

Countries citing papers authored by R E Law

Since Specialization
Citations

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

Fields of papers citing papers by R E Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R E Law. 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 R E Law. The network helps show where R E Law may publish in the future.

Co-authorship network of co-authors of R E Law

This figure shows the co-authorship network connecting the top 25 collaborators of R E Law. A scholar is included among the top collaborators of R E Law 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 R E Law. R E Law 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
1.
Bruemmer, Dennis, Florian Blaschke, & R E Law. (2005). New targets for PPARγ in the vessel wall: implications for restenosis. International Journal of Obesity. 29(S1). S26–S30. 27 indexed citations
2.
Little, Peter J., Duncan J. Topliss, Sunder Mudaliar, & R E Law. (2004). Peroxisome Proliferator-Activated Receptors and diabetic vasculature. Queensland's institutional digital repository (The University of Queensland). 75–91. 1 indexed citations
3.
Farooq, Michael M., Niren Angle, John S. Lane, et al.. (2002). Dexamethasone Inhibits Vascular Smooth Muscle Cell Migration via Modulation of Matrix Metalloproteinase Activity. Journal of Surgical Research. 102(2). 57–62. 31 indexed citations
4.
Farooq, Michael M., John S. Lane, Niren Angle, et al.. (2002). Rat and human aortic smooth muscle cells display differing migration and matrix metalloproteinase activities in response to dexamethasone. Journal of Vascular Surgery. 35(6). 1253–1259. 15 indexed citations
5.
Yin, Fen, et al.. (2001). Apigenin inhibits growth and induces G2/M arrest by modulating cyclin-CDK regulators and ERK MAP kinase activation in breast carcinoma cells.. PubMed. 21(1A). 413–20. 159 indexed citations
6.
Murata, Toshinori, Sangang He, Masanori Hangai, et al.. (2000). Peroxisome proliferator-activated receptor-gamma ligands inhibit choroidal neovascularization.. PubMed. 41(8). 2309–17. 155 indexed citations
7.
Hsueh, Willa A. & R E Law. (1998). Diabetes is a Vascular Disease. Journal of Investigative Medicine. 46(8). 387–390. 24 indexed citations
8.
Couldwell, William T., et al.. (1996). Protein Kinase C and Growth Regulation of Pituitary Adenomas. PubMed. 65. 22–26. 12 indexed citations
9.
Law, R E, Woerner P. Meehan, K. Graf, et al.. (1996). Troglitazone inhibits vascular smooth muscle cell growth and intimal hyperplasia.. Journal of Clinical Investigation. 98(8). 1897–1905. 431 indexed citations
10.
Masood, R., Yong Zhang, DT Scadden, et al.. (1995). Interleukin-10 is an autocrine growth factor for acquired immunodeficiency syndrome-related B-cell lymphoma [see comments]. Blood. 85(12). 3423–3430. 129 indexed citations
11.
Anker, Lars, Rayudu Gopalakrishna, Keith D. Jones, R E Law, & William T. Couldwell. (1995). Hypericin in adjuvant brain tumor therapy. Drugs of the Future. 20(5). 511–511. 33 indexed citations
12.
Masood, R., Yanto Lunardi-Iskandar, Tarsem Moudgil, et al.. (1994). IL-10 Inhibits HIV-1 Replication and Is Induced by Tat. Biochemical and Biophysical Research Communications. 202(1). 374–383. 61 indexed citations
13.
Smith, D. Lynne, et al.. (1994). Identification of Cyclic AMP Response Element in the Human Renin Gene. Biochemical and Biophysical Research Communications. 200(1). 320–329. 18 indexed citations
14.
Couldwell, William T., et al.. (1994). Lovastatin Induces Growth Inhibition and Apoptosis in Human Malignant Glioma Cells. Biochemical and Biophysical Research Communications. 205(3). 1681–1687. 154 indexed citations
15.
Kujubu, Dean A., Julie B. Stimmel, R E Law, H. R. Herschman, & Steven Clarke. (1993). Early responses of PC‐12 cells to NGF and EGF: Effect of K252a and 5′‐methylthioadenosine on gene expression and membrane protein methylation. Journal of Neuroscience Research. 36(1). 58–65. 22 indexed citations
16.
Peddada, Lorraine, John D. McPherson, R E Law, et al.. (1992). Somatic cell mapping of the human cyclophilin B gene (PPIB) to chromosome 15. Cytogenetic and Genome Research. 60(3-4). 219–221. 8 indexed citations
17.
18.
Briskin, Michael, R E Law, P W Kincade, et al.. (1990). Lipopolysaccharide-unresponsive mutant pre-B-cell lines blocked in NF-kappa B activation.. Molecular and Cellular Biology. 10(1). 422–425. 12 indexed citations
19.
Law, R E, Michio D. Kuwabara, Michael Briskin, et al.. (1987). Protein-binding site at the immunoglobulin mu membrane polyadenylylation signal: possible role in transcription termination.. Proceedings of the National Academy of Sciences. 84(24). 9160–9164. 32 indexed citations
20.
Law, R E & A J Ferro. (1980). Inhibition of leucine transport in Saccharomyces by S-adenosylmethionine. Journal of Bacteriology. 143(1). 427–431. 2 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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