Michael E. Kurczy
Impact in
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Computational Mechanics top 2%
- Ion-surface interactions and analysis
Papers in
-
- Ion-surface interactions and analysis 16
- Spectroscopy 11
- Mass Spectrometry Techniques and Applications 10
- Co-authors
- Andrew G. Ewing (21 shared papers)Gary E. Siuzdak (11 shared papers)Julijana Ivanišević (9 shared papers)Nicholas Winograd (11 shared papers)H. Paul Benton (6 shared papers)Gary J. Patti (5 shared papers)Caroline Helen Johnson (5 shared papers)Duane Rinehart (4 shared papers)
- Journals
- Analytical Chemistry (10 papers)Scientific Reports (4 papers)Applied Surface Science (4 papers)ACS Nano (3 papers)ACS Chemical Neuroscience (2 papers)
- Partner nations
- SwedenUnited StatesSwitzerland
In The Last Decade
Michael E. Kurczy
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 127
- Spectroscopy 666
- Computational Mechanics 417
- Biophysics 105
- Molecular Biology 1.2k
- Analytical Chemistry 161
Countries citing papers authored by Michael E. Kurczy
This map shows the geographic impact of Michael E. Kurczy'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 E. Kurczy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Kurczy more than expected).
Fields of papers citing papers by Michael E. Kurczy
This network shows the impact of papers produced by Michael E. Kurczy. 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 E. Kurczy. The network helps show where Michael E. Kurczy may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Kurczy, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 317 | |
| 2 | 2014 | 167 | |
| 3 | 2012 | 160 | |
| 4 | 2015 | 116 | |
| 5 | 2016 | 98 | |
| 6 | 2007 | 94 | |
| 7 | 2016 | 89 | |
| 8 | 2016 | 89 | |
| 9 | 2013 | 77 | |
| 10 | 2008 | 75 | |
| 11 | 2010 | 75 | |
| 12 | 2020 | 71 | |
| 13 | 2015 | 67 | |
| 14 | 2014 | 65 | |
| 15 | 2014 | 50 | |
| 16 | 2015 | 49 | |
| 17 | 2015 | 48 | |
| 18 | 2016 | 44 | |
| 19 | 2008 | 41 | |
| 20 | 2010 | 34 |
About Michael E. Kurczy
Michael E. Kurczy is a scholar working on Computational Mechanics, Spectroscopy, Molecular Biology, Cell Biology and Physiology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (16 papers), Lipid Membrane Structure and Behavior (13 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Nanopore and Nanochannel Transport Studies (8 papers), Cellular transport and secretion (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). The work is most often cited by research in Spectroscopy (666 citations), Computational Mechanics (417 citations), Biophysics (105 citations), Molecular Biology (1.2k citations) and Analytical Chemistry (161 citations). Michael E. Kurczy has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Andrew G. Ewing, Gary E. Siuzdak, Julijana Ivanišević, Nicholas Winograd, H. Paul Benton, Gary J. Patti, Caroline Helen Johnson, Duane Rinehart, Ann-Sofie U. Cans and Raphaël Trouillon. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Applied Surface Science, ACS Nano and ACS Chemical Neuroscience.
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.