M S Brown
Impact in
- Cell Biology top 0.1%
- Endoplasmic Reticulum Stress and Disease
- Cancer Research top 0.2%
- Cancer, Lipids, and Metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 11
- Peroxisome Proliferator-Activated Receptors 7
- RNA and protein synthesis mechanisms 6
- Plant biochemistry and biosynthesis 6
- Surgery 27
- Cholesterol and Lipid Metabolism 20
- Lipoproteins and Cardiovascular Health 8
- Co-authors
- J L Goldstein (18 shared papers)Joseph L. Goldstein (21 shared papers)J L Goldstein (16 shared papers)Robert B. Rawson (2 shared papers)Iichiro Shimomura (4 shared papers)Y K Ho (8 shared papers)Robert E. Hammer (5 shared papers)Jay D. Horton (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (19 papers)Journal of Biological Chemistry (17 papers)Journal of Clinical Investigation (8 papers)Journal of Lipid Research (3 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesPoland
In The Last Decade
M S Brown
57 papers receiving 15.3k citations
M S Brown's Hit Papers
Peers
Comparison fields: 5 of 129
- Cell Biology 3.1k
- Cancer Research 2.6k
- Biochemistry 1.3k
- Surgery 5.9k
- Endocrinology, Diabetes and Metabolism 2.1k
Countries citing papers authored by M S Brown
This map shows the geographic impact of M S Brown'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 M S Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M S Brown more than expected).
Fields of papers citing papers by M S Brown
This network shows the impact of papers produced by M S Brown. 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 M S Brown. The network helps show where M S Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside M S Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ER Stress Induces Cleavage of Membrane-Bound ATF6 by the Same Proteases that Process SREBPs Hit paper breakdown → | 2000 | 1488 |
| 2 | Regulated Intramembrane Proteolysis Hit paper breakdown → | 2000 | 1110 |
| 3 | Multivalent feedback regulation of HMG CoA reductase, a control mechanism coordinating isoprenoid synthesis and cell growth. Hit paper breakdown → | 1980 | 1043 |
| 4 | Overproduction of cholesterol and fatty acids causes massive liver enlargement in transgenic mice expressing truncated SREBP-1a. Hit paper breakdown → | 1996 | 705 |
| 5 | Decreased IRS-2 and Increased SREBP-1c Lead to Mixed Insulin Resistance and Sensitivity in Livers of Lipodystrophic and ob/ob Mice Hit paper breakdown → | 2000 | 665 |
| 6 | Differential expression of exons 1a and 1c in mRNAs for sterol regulatory element binding protein-1 in human and mouse organs and cultured cells. Hit paper breakdown → | 1997 | 653 |
| 7 | Receptor-mediated endocytosis: insights from the lipoprotein receptor system. Hit paper breakdown → | 1979 | 562 |
| 8 | SREBP-2, a second basic-helix-loop-helix-leucine zipper protein that stimulates transcription by binding to a sterol regulatory element. Hit paper breakdown → | 1993 | 537 |
| 9 | 39-kDa protein modulates binding of ligands to low density lipoprotein receptor-related protein/alpha 2-macroglobulin receptor. Hit paper breakdown → | 1991 | 530 |
| 10 | Low density lipoprotein receptor-related protein mediates uptake of cholesteryl esters derived from apoprotein E-enriched lipoproteins. Hit paper breakdown → | 1989 | 516 |
| 11 | Increased binding of low density lipoprotein to liver membranes from rats treated with 17 alpha-ethinyl estradiol. Hit paper breakdown → | 1979 | 505 |
| 12 | Lipoprotein receptors in the liver. Control signals for plasma cholesterol traffic. Hit paper breakdown → | 1983 | 450 |
| 13 | 1992 | 413 | |
| 14 | 1997 | 379 | |
| 15 | Biosynthesis of N- and O-linked oligosaccharides of the low density lipoprotein receptor. Hit paper breakdown → | 1983 | 328 |
| 16 | 1987 | 310 | |
| 17 | 1981 | 292 | |
| 18 | 1988 | 291 | |
| 19 | 1991 | 276 | |
| 20 | 1981 | 267 |
About M S Brown
M S Brown is a scholar working on Molecular Biology, Surgery, Cancer Research, Cell Biology and Biochemistry, having authored 57 papers that have together received 16.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Glycosylation and Glycoproteins Research (11 papers), Cancer, Lipids, and Metabolism (9 papers), Lipid metabolism and biosynthesis (9 papers), Lipoproteins and Cardiovascular Health (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), RNA and protein synthesis mechanisms (6 papers) and Plant biochemistry and biosynthesis (6 papers). The work is most often cited by research in Cell Biology (3.1k citations), Cancer Research (2.6k citations), Biochemistry (1.3k citations), Surgery (5.9k citations) and Endocrinology, Diabetes and Metabolism (2.1k citations). M S Brown has collaborated with scholars based in United States and Poland. Frequent co-authors include J L Goldstein, Joseph L. Goldstein, J L Goldstein, Robert B. Rawson, Iichiro Shimomura, Y K Ho, Robert E. Hammer, Jay D. Horton, Hitoshi Shimano and Jin Y. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Clinical Investigation, Journal of Lipid Research and Molecular Cell.
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.