Jon M. Sutter
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 9
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- Analytical Chemistry and Chromatography 9
- Co-authors
- John H. Kalivas (6 shared papers)Peter C. Jurs (7 shared papers)Jiabo Li (3 shared papers)Patrick M. Lang (1 shared paper)P. C. Jurs (1 shared paper)Johannes Kirchmair (1 shared paper)Tedman Ehlers (1 shared paper)Didier Rognan (1 shared paper)
- Journals
- Analytical Chemistry (5 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Chemometrics (2 papers)Analytica Chimica Acta (2 papers)Biosensors and Bioelectronics (1 paper)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Jon M. Sutter
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Analytical Chemistry 355
- Computational Theory and Mathematics 569
- Spectroscopy 341
- Bioengineering 94
- Biophysics 84
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 22 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 | 1989 | 189 | |
| 2 | 1995 | 185 | |
| 3 | 1993 | 130 | |
| 4 | 2007 | 107 | |
| 5 | 2012 | 104 | |
| 6 | 1992 | 92 | |
| 7 | 1997 | 81 | |
| 8 | 1996 | 77 | |
| 9 | 1997 | 67 | |
| 10 | 1997 | 56 | |
| 11 | 1998 | 51 | |
| 12 | 2006 | 40 | |
| 13 | 2011 | 39 | |
| 14 | 1991 | 34 | |
| 15 | 1996 | 34 | |
| 16 | 1995 | 12 | |
| 17 | 1990 | 3 | |
| 18 | 1992 | 3 |
About Jon M. Sutter
Jon M. Sutter is a scholar working on Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry, Bioengineering and Biophysics, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (9 papers), Computational Drug Discovery Methods (9 papers), Advanced Chemical Sensor Technologies (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Analytical Chemistry and Sensors (3 papers), Fault Detection and Control Systems (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Analytical Chemistry (355 citations), Computational Theory and Mathematics (569 citations), Spectroscopy (341 citations), Bioengineering (94 citations) and Biophysics (84 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 M. Lang, P. C. Jurs, Johannes Kirchmair, Tedman Ehlers, Didier Rognan, Adrian P. Stevens and Allister J. Maynard. Their work appears in journals such as Analytical Chemistry, Journal of Chemical Information and Modeling, Journal of Chemometrics, Analytica Chimica Acta and Biosensors and Bioelectronics.
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.