Peter Marek
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- Protein Structure and Dynamics 5
- Glycosylation and Glycoproteins Research 2
- Prion Diseases and Protein Misfolding 2
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- Alzheimer's disease research and treatments 8
- Co-authors
- Daniel P. Raleigh (13 shared papers)Martin T. Zanni (5 shared papers)Vadim Patsalo (2 shared papers)Brent L. Iverson (2 shared papers)Yi Li (1 shared paper)Qing Li (1 shared paper)Ann Marie Woys (3 shared papers)Andisheh Abedini (3 shared papers)
- Journals
- Biochemistry (4 papers)Journal of the American Chemical Society (2 papers)FEBS Letters (2 papers)ACS Chemical Biology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Peter Marek
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Physiology 698
- Biotechnology 135
- Biomaterials 197
- Molecular Biology 961
- Cell Biology 164
Countries citing papers authored by Peter Marek
This map shows the geographic impact of Peter Marek'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 Peter Marek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Marek more than expected).
Fields of papers citing papers by Peter Marek
This network shows the impact of papers produced by Peter Marek. 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 Peter Marek. The network helps show where Peter Marek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Marek, 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 | 2013 | 194 | |
| 2 | 2012 | 156 | |
| 3 | 2013 | 155 | |
| 4 | 2010 | 151 | |
| 5 | 2012 | 144 | |
| 6 | 2007 | 122 | |
| 7 | 2011 | 111 | |
| 8 | 2012 | 95 | |
| 9 | 2008 | 88 | |
| 10 | 2010 | 79 | |
| 11 | 2010 | 68 | |
| 12 | 2010 | 42 | |
| 13 | 2008 | 41 | |
| 14 | 2010 | 35 | |
| 15 | 2016 | 33 | |
| 16 | 2014 | 2 |
About Peter Marek
Peter Marek is a scholar working on Molecular Biology, Physiology, Surgery, Biomaterials and Cell Biology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (5 papers), Supramolecular Self-Assembly in Materials (3 papers), Pancreatic function and diabetes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Physiology (698 citations), Biotechnology (135 citations), Biomaterials (197 citations), Molecular Biology (961 citations) and Cell Biology (164 citations). Peter Marek has collaborated with scholars based in United States and Canada. Frequent co-authors include Daniel P. Raleigh, Martin T. Zanni, Vadim Patsalo, Brent L. Iverson, Yi Li, Qing Li, Ann Marie Woys, Andisheh Abedini, Ping Cao and David F. Green. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, FEBS Letters, ACS Chemical Biology and Journal of Molecular Biology.
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.