Michael M. Satkowski
Impact in
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- Carbon dioxide utilization in catalysis
- Biomaterials top 2%
- biodegradable polymer synthesis and properties
Papers in
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- Block Copolymer Self-Assembly 12
- Machine Learning in Materials Science 3
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- Advanced Polymer Synthesis and Characterization 10
- Co-authors
- Isao Noda (7 shared papers)Steven D. Smith (14 shared papers)J. T. Grothaus (4 shared papers)Lee A. Schechtman (3 shared papers)Zhong‐Ren Chen (3 shared papers)Julia A. Kornfield (3 shared papers)Phillip R. Green (1 shared paper)Richard J. Spontak (9 shared papers)
- Journals
- Macromolecules (9 papers)Polymer (2 papers)Macromolecular Rapid Communications (2 papers)International Journal of Biological Macromolecules (1 paper)Macromolecular Bioscience (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Michael M. Satkowski
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 79
- Process Chemistry and Technology 171
- Biomaterials 640
- Fluid Flow and Transfer Processes 268
- Polymers and Plastics 569
- Pollution 233
Countries citing papers authored by Michael M. Satkowski
This map shows the geographic impact of Michael M. Satkowski'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. Satkowski 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. Satkowski more than expected).
Fields of papers citing papers by Michael M. Satkowski
This network shows the impact of papers produced by Michael M. Satkowski. 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. Satkowski. The network helps show where Michael M. Satkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael M. Satkowski, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 271 | |
| 2 | 2005 | 233 | |
| 3 | 2004 | 170 | |
| 4 | 1996 | 113 | |
| 5 | 1996 | 91 | |
| 6 | 1993 | 78 | |
| 7 | 1997 | 73 | |
| 8 | 1994 | 71 | |
| 9 | 1999 | 68 | |
| 10 | 1992 | 64 | |
| 11 | 1997 | 60 | |
| 12 | 1996 | 56 | |
| 13 | 1990 | 48 | |
| 14 | 1995 | 47 | |
| 15 | 2008 | 44 | |
| 16 | 2003 | 43 | |
| 17 | 2001 | 34 | |
| 18 | 1987 | 27 | |
| 19 | 1994 | 22 | |
| 20 | 1993 | 18 |
About Michael M. Satkowski
Michael M. Satkowski is a scholar working on Materials Chemistry, Organic Chemistry, Polymers and Plastics, Biomaterials and Fluid Flow and Transfer Processes, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (12 papers), Advanced Polymer Synthesis and Characterization (10 papers), Polymer crystallization and properties (8 papers), biodegradable polymer synthesis and properties (7 papers), Rheology and Fluid Dynamics Studies (6 papers), Microplastics and Plastic Pollution (5 papers), Carbon dioxide utilization in catalysis (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Process Chemistry and Technology (171 citations), Biomaterials (640 citations), Fluid Flow and Transfer Processes (268 citations), Polymers and Plastics (569 citations) and Pollution (233 citations). Michael M. Satkowski has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Isao Noda, Steven D. Smith, J. T. Grothaus, Lee A. Schechtman, Zhong‐Ren Chen, Julia A. Kornfield, Phillip R. Green, Richard J. Spontak, Anthony E. Dowrey and Curtis Marcott. Their work appears in journals such as Macromolecules, Polymer, Macromolecular Rapid Communications, International Journal of Biological Macromolecules and Macromolecular Bioscience.
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.