S W Law

3.5k total citations
49 papers, 2.7k citations indexed

About

S W Law is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S W Law has authored 49 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S W Law's work include Peroxisome Proliferator-Activated Receptors (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and RNA and protein synthesis mechanisms (7 papers). S W Law is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and RNA and protein synthesis mechanisms (7 papers). S W Law collaborates with scholars based in United States, Canada and Italy. S W Law's co-authors include H. Bryan Brewer, Bert W. O’Malley, Achilles Dugaiczyk, Orla M. Conneely, Francesco J. DeMayo, Karl J. Lackner, Ashok Hospattankar, Feng Chen, H Bryan Brewer and A.Y. Sakaguchi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

S W Law

49 papers receiving 2.6k citations

Peers

S W Law
Tokuo Yamamoto Japan
Thomas A. Gustafson United States
Mireille Hogue Canada
Priscilla S. Dannies United States
A Franchi France
Jon E. Chatterton United States
T. Mohandas United States
Richard P. DiAugustine United States
Michael G. Rosenfeld United States
Karsten Spicher Germany
Tokuo Yamamoto Japan
S W Law
Citations per year, relative to S W Law S W Law (= 1×) peers Tokuo Yamamoto

Countries citing papers authored by S W Law

Since Specialization
Citations

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

Fields of papers citing papers by S W Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S W Law

This figure shows the co-authorship network connecting the top 25 collaborators of S W Law. A scholar is included among the top collaborators of S W 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 S W Law. S W 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.
Law, S W, et al.. (1994). Hormonal regulation of hypothalamic gene expression: Identification of multiple novel estrogen induced genes. The Journal of Steroid Biochemistry and Molecular Biology. 51(3-4). 131–136. 15 indexed citations
2.
Chen, Feng, S W Law, & Bert W. O’Malley. (1993). Identification of Two mPPAR Related Receptors and Evidence for the Existence of Five Subfamily Members. Biochemical and Biophysical Research Communications. 196(2). 671–677. 130 indexed citations
3.
Tung, Jwu‐Sheng, Christopher T. Dunwiddie, A. B. Lenny, et al.. (1991). Expression and characterization of the N-terminal half of antistasin, an anticoagulant protein derived from the leech Haementeria officinalis. Protein Expression and Purification. 2(1). 37–42. 7 indexed citations
4.
Daugherty, Bruce L., A. B. Lenny, Marlene A. Jacobson, et al.. (1990). The Uses of Computer-Aided Signal Peptide Selection and Polymerase Chain Reaction in Gene Construction and Expression of Secreted Proteins. DNA and Cell Biology. 9(6). 453–459. 8 indexed citations
5.
Monge, Juan Carlos, Jeffrey M. Hoeg, S W Law, & H Bryan Brewer. (1989). Effect of low density lipoproteins, high density lipoproteins, and cholesterol on apolipoprotein A‐I mRNA in Hep G2 cells. FEBS Letters. 243(2). 213–217. 24 indexed citations
6.
Han, Jang H., S W Law, Paul M. Keller, et al.. (1989). Cloning and expression of cDNA encoding antistasin, a leech-derived protein having anti-coagulant and anti-metastatic properties. Gene. 75(1). 47–57. 39 indexed citations
7.
Ross, Robert S., Richard E. Gregg, S W Law, et al.. (1988). Homozygous hypobetalipoproteinemia: a disease distinct from abetalipoproproteinemia at the molecular level.. Journal of Clinical Investigation. 81(2). 590–595. 38 indexed citations
8.
Higuchi, Keiichi, et al.. (1988). Tissue-specific expression of apolipoprotein A-I (ApoA-I) is regulated by the 5′-flanking region of the human ApoA-I gene.. Journal of Biological Chemistry. 263(34). 18530–18536. 65 indexed citations
9.
Hospattankar, Ashok, et al.. (1987). Identification of a novel in-frame translational stop codon in human intestine ApoB mRNA. Biochemical and Biophysical Research Communications. 148(1). 279–285. 68 indexed citations
10.
Higuchi, Keiichi, J C Monge, S W Law, et al.. (1987). The human apoB-100 gene: ApoB-100 is encoded by a single copy gene in the human genome. Biochemical and Biophysical Research Communications. 144(3). 1332–1339. 17 indexed citations
11.
Law, S W, Karl J. Lackner, Ashok Hospattankar, et al.. (1985). Human apolipoprotein B-100: cloning, analysis of liver mRNA, and assignment of the gene to chromosome 2.. Proceedings of the National Academy of Sciences. 82(24). 8340–8344. 71 indexed citations
12.
Minghetti, Phillip P., S W Law, & Achilles Dugaiczyk. (1985). The rate of molecular evolution of alpha-fetoprotein approaches that of pseudogenes.. Molecular Biology and Evolution. 2(4). 347–58. 45 indexed citations
13.
Schaefer, Ernst J., José M. Ordovás, S W Law, et al.. (1985). Familial apolipoprotein A-I and C-III deficiency, variant II.. Journal of Lipid Research. 26(9). 1089–1101. 75 indexed citations
14.
Lackner, Karl J., S W Law, & H. Bryan Brewer. (1985). The human apolipoprotein A-II gene: complete nucleic acid sequence and genomic organization. Nucleic Acids Research. 13(12). 4597–4608. 25 indexed citations
15.
Law, S W, et al.. (1984). Human apolipoprotein A-I and C-III genes reside in the p11 → q13 region of chromosome 11. Biochemical and Biophysical Research Communications. 118(3). 934–942. 48 indexed citations
16.
Fojo, S S, S W Law, H Bryan Brewer, A.Y. Sakaguchi, & Susan L. Naylor. (1984). The localization of the gene for apolipoprotein C-II to chromosome 19. Biochemical and Biophysical Research Communications. 122(2). 687–693. 18 indexed citations
17.
Lackner, Karl J., S W Law, & H. Bryan Brewer. (1984). Human apolipoprotein A‐II: complete nucleic acid sequence of preproapoA‐II. FEBS Letters. 175(1). 159–164. 30 indexed citations
18.
Law, S W & H. Bryan Brewer. (1984). Nucleotide sequence and the encoded amino acids of human apolipoprotein A-I mRNA.. Proceedings of the National Academy of Sciences. 81(1). 66–70. 80 indexed citations
19.
Law, S W & David N. Burton. (1973). Fatty Acid Synthetase from Pythium debaryanum. Canadian Journal of Biochemistry. 51(3). 241–248. 3 indexed citations
20.
Law, S W, et al.. (1969). Immunological analysis of spores of Clostridium botulinum type E. Canadian Journal of Microbiology. 15(12). 1427–1431. 1 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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