Jon M. Sutter
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
-
- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 8
-
- Analytical Chemistry and Chromatography 8
- Co-authors
- John H. Kalivas (6 shared papers)Peter C. Jurs (6 shared papers)Jiabo Li (3 shared papers)Patrick Lang (1 shared paper)P. C. Jurs (1 shared paper)Johannes Kirchmair (2 shared papers)Tedman Ehlers (2 shared papers)Didier Rognan (1 shared paper)
- Journals
- Analytical Chemistry (5 papers)Journal of Chemical Information and Modeling (3 papers)Analytica Chimica Acta (2 papers)Journal of Chemometrics (2 papers)Microchemical Journal (1 paper)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Jon M. Sutter
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Analytical Chemistry 334
- Computational Theory and Mathematics 521
- Spectroscopy 313
- Bioengineering 90
- Biophysics 80
Countries citing papers authored by Jon M. Sutter
This map shows the geographic impact of Jon M. Sutter'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 Jon M. Sutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon M. Sutter more than expected).
Fields of papers citing papers by Jon M. Sutter
This network shows the impact of papers produced by Jon M. Sutter. 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 Jon M. Sutter. The network helps show where Jon M. Sutter may publish in the future.
Co-authors
The 23 scholars most cited alongside Jon M. Sutter, 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 | 1995 | 179 | |
| 2 | 1989 | 177 | |
| 3 | 1993 | 123 | |
| 4 | 2007 | 98 | |
| 5 | 2012 | 93 | |
| 6 | 1992 | 91 | |
| 7 | 1997 | 74 | |
| 8 | 1996 | 73 | |
| 9 | 1997 | 60 | |
| 10 | 1997 | 54 | |
| 11 | 1998 | 42 | |
| 12 | 2006 | 36 | |
| 13 | 1996 | 34 | |
| 14 | 2011 | 33 | |
| 15 | 1991 | 30 | |
| 16 | 2007 | 2 | |
| 17 | 1992 | 2 | |
| 18 | 1990 | 2 |
About Jon M. Sutter
Jon M. Sutter is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Analytical Chemistry and Biomedical Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (8 papers), Computational Drug Discovery Methods (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Advanced Chemical Sensor Technologies (5 papers), Analytical Chemistry and Sensors (3 papers), Fault Detection and Control Systems (3 papers), Water Quality Monitoring and Analysis (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Analytical Chemistry (334 citations), Computational Theory and Mathematics (521 citations), Spectroscopy (313 citations), Bioengineering (90 citations) and Biophysics (80 citations). Jon M. Sutter has collaborated with scholars based in United States, Austria and France. Frequent co-authors include John H. Kalivas, Peter C. Jurs, Jiabo Li, Patrick Lang, P. C. Jurs, Johannes Kirchmair, Tedman Ehlers, Didier Rognan, Hugues‐Olivier Bertrand and Jamel Meslamani. Their work appears in journals such as Analytical Chemistry, Journal of Chemical Information and Modeling, Analytica Chimica Acta, Journal of Chemometrics and Microchemical Journal.
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.