Matthias Quick
Impact in
- Biochemistry top 0.2%
- Amino Acid Enzymes and Metabolism
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
- Biochemistry 25
- Amino Acid Enzymes and Metabolism 24
- Oncology 40
- Drug Transport and Resistance Mechanisms 40
- Co-authors
- Jonathan A. Javitch (30 shared papers)Lei Shi (22 shared papers)Harel Weinstein (19 shared papers)Yongfang Zhao (4 shared papers)Heinrich Jung (10 shared papers)Ming Zhou (9 shared papers)E.J. Levin (7 shared papers)Poul Nissen (6 shared papers)
- Journals
- Journal of Biological Chemistry (18 papers)Nature (10 papers)Proceedings of the National Academy of Sciences (10 papers)Biochemistry (6 papers)Nature Communications (5 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Matthias Quick
83 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 109
- Biochemistry 740
- Oncology 1.1k
- Cellular and Molecular Neuroscience 636
- Molecular Biology 2.4k
- Biophysics 166
Countries citing papers authored by Matthias Quick
This map shows the geographic impact of Matthias Quick'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 Matthias Quick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Quick more than expected).
Fields of papers citing papers by Matthias Quick
This network shows the impact of papers produced by Matthias Quick. 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 Matthias Quick. The network helps show where Matthias Quick may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Quick, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 324 | |
| 2 | 2011 | 270 | |
| 3 | 2016 | 218 | |
| 4 | 2007 | 194 | |
| 5 | 2007 | 171 | |
| 6 | 2009 | 167 | |
| 7 | 2010 | 162 | |
| 8 | 2014 | 159 | |
| 9 | 2019 | 148 | |
| 10 | 2013 | 131 | |
| 11 | 2014 | 124 | |
| 12 | 2011 | 114 | |
| 13 | 2009 | 102 | |
| 14 | 2012 | 83 | |
| 15 | 2020 | 81 | |
| 16 | 2006 | 79 | |
| 17 | 2013 | 75 | |
| 18 | 2019 | 75 | |
| 19 | 2012 | 74 | |
| 20 | 2011 | 71 |
About Matthias Quick
Matthias Quick is a scholar working on Biochemistry, Oncology, Molecular Biology, Genetics and Materials Chemistry, having authored 87 papers that have together received 4.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (40 papers), Protein Structure and Dynamics (30 papers), Amino Acid Enzymes and Metabolism (24 papers), Enzyme Structure and Function (15 papers), Receptor Mechanisms and Signaling (14 papers), Bacterial Genetics and Biotechnology (14 papers), Ion Transport and Channel Regulation (12 papers) and Ion channel regulation and function (10 papers). The work is most often cited by research in Biochemistry (740 citations), Oncology (1.1k citations), Cellular and Molecular Neuroscience (636 citations), Molecular Biology (2.4k citations) and Biophysics (166 citations). Matthias Quick has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Jonathan A. Javitch, Lei Shi, Harel Weinstein, Yongfang Zhao, Heinrich Jung, Ming Zhou, E.J. Levin, Poul Nissen, Daniel S. Terry and Scott C. Blanchard. Their work appears in journals such as Journal of Biological Chemistry, Nature, Proceedings of the National Academy of Sciences, Biochemistry and Nature Communications.
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.