Michael M. Weinstein
Impact in
-
- Lipid metabolism and disorders
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Lipid metabolism and disorders 20
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 15
- Co-authors
- Stephen G. YoungLoren G. FongAnne P. BeigneuxBrandon S.J. DaviesPeter GinAndré BensadounMorton H. HalperinJoseph Siegle
- Journals
- Journal of Biological Chemistry (7 papers)Arteriosclerosis Thrombosis and Vascular Biology (7 papers)Foreign Affairs (4 papers)Journal of Lipid Research (3 papers)Cell Metabolism (2 papers)
- Partner nations
- United StatesSwedenPoland
In The Last Decade
Michael M. Weinstein
43 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 148
- Cardiology and Cardiovascular Medicine 1.3k
- Endocrinology, Diabetes and Metabolism 910
- Biochemistry 241
- Cell Biology 501
- Cancer Research 385
Countries citing papers authored by Michael M. Weinstein
This map shows the geographic impact of Michael M. Weinstein'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 Michael M. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Weinstein more than expected).
Fields of papers citing papers by Michael M. Weinstein
This network shows the impact of papers produced by Michael M. Weinstein. 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 Michael M. Weinstein. The network helps show where Michael M. Weinstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael M. Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Progress Towards Standardizing Metagenomics: Applying Metagenomic Reference Material to Develop Reproducible Microbial Lysis Methods with Minimum Bias | 2020 | 3 |
| 3 | FIGARO: An efficient and objective tool for optimizing microbiome rRNA gene trimming parameters | 2020 | 0 |
| 4 | 2016 | 8 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 35 | |
| 7 | 2011 | 44 | |
| 8 | 2011 | 85 | |
| 9 | 2010 | 14 | |
| 10 | 2010 | 283 | |
| 11 | 2010 | 59 | |
| 12 | 2009 | 96 | |
| 13 | 2009 | 63 | |
| 14 | 2009 | 27 | |
| 15 | 2008 | 75 | |
| 16 | 2008 | 62 | |
| 17 | 2008 | 28 | |
| 18 | 2007 | 363 | |
| 19 | 2007 | 62 | |
| 20 | 2007 | 71 |
About Michael M. Weinstein
Michael M. Weinstein is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cell Biology, Developmental Biology and Sensory Systems, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Caveolin-1 and cellular processes (9 papers), Diabetes and associated disorders (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cholesterol and Lipid Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (910 citations), Biochemistry (241 citations), Cell Biology (501 citations) and Cancer Research (385 citations). Michael M. Weinstein has collaborated with scholars based in United States, Sweden and Poland. Frequent co-authors include Stephen G. Young, Loren G. Fong, Anne P. Beigneux, Brandon S.J. Davies, Peter Gin, André Bensadoun, Morton H. Halperin, Joseph Siegle, Aldons J. Lusis and Yiping Tu. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Foreign Affairs, Journal of Lipid Research and Cell Metabolism.
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.