Michael Weinstein
Impact in
- Molecular Biology top 1%
- TGF-β signaling in diseases
- Developmental Biology and Gene Regulation
- Fibroblast Growth Factor Research
- Epigenetics and DNA Methylation
- Congenital heart defects research
- Renal and related cancers
- Kruppel-like factors research
- Genetics top 2%
Papers in
-
- TGF-β signaling in diseases 18
- Epigenetics and DNA Methylation 10
- Renal and related cancers 8
- Developmental Biology and Gene Regulation 8
- Congenital heart defects research 7
- Hedgehog Signaling Pathway Studies 6
- Co-authors
- Chu‐Xia DengXiaoling XuCuiling LiKyoji OhyamaDonald R. HelinskiXiao YangGustavo LeoneDavid P. Witte
- Journals
- Development (6 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)Molecular and Cellular Biology (4 papers)Blood (3 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Michael Weinstein
50 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.5k
- Genetics 1.0k
- Cancer Research 550
- Cell Biology 528
- Oncology 877
Countries citing papers authored by Michael Weinstein
This map shows the geographic impact of Michael 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 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 Weinstein more than expected).
Fields of papers citing papers by Michael Weinstein
This network shows the impact of papers produced by Michael 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 Weinstein. The network helps show where Michael Weinstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael 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 | 2010 | 54 | |
| 2 | 2008 | 170 | |
| 3 | 2007 | 34 | |
| 4 | 2007 | 366 | |
| 5 | 2007 | 11 | |
| 6 | 2006 | 87 | |
| 7 | 2006 | 223 | |
| 8 | 2006 | 100 | |
| 9 | 2005 | 6 | |
| 10 | 2004 | 42 | |
| 11 | 2004 | 23 | |
| 12 | 2004 | 26 | |
| 13 | 2002 | 89 | |
| 14 | 2001 | 28 | |
| 15 | 2001 | 363 | |
| 16 | 2000 | 285 | |
| 17 | 1999 | 122 | |
| 18 | 1997 | 29 | |
| 19 | 1995 | 87 | |
| 20 | 1992 | 18 |
About Michael Weinstein
Michael Weinstein is a scholar working on Medical Laboratory Technology, Molecular Biology, Genetics, Oncology and Hepatology, having authored 50 papers that have together received 5.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (18 papers), Epigenetics and DNA Methylation (10 papers), Renal and related cancers (8 papers), Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (7 papers), Hedgehog Signaling Pathway Studies (6 papers), Plant nutrient uptake and metabolism (5 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Genetics (1.0k citations), Cancer Research (550 citations), Cell Biology (528 citations) and Oncology (877 citations). Michael Weinstein has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Chu‐Xia Deng, Xiaoling Xu, Cuiling Li, Kyoji Ohyama, Cuiling Li, Donald R. Helinski, Xiao Yang, Gustavo Leone, David P. Witte and Gary S. Ditta. Their work appears in journals such as Development, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Blood.
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.