Jack Newton
Impact in
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in
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- Metabolomics and Mass Spectrometry Studies 5
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- NMR spectroscopy and applications 3
- Co-authors
- Aalim M. Weljie (5 shared papers)Carolyn M. Slupsky (1 shared paper)Pascal Mercier (1 shared paper)Erin E. Carlson (1 shared paper)Giovanni Paternostro (1 shared paper)Ray Somorjai (1 shared paper)Douglas B. Kell (1 shared paper)Susan C. Connor (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Clinical Chemistry (1 paper)Hepatology (1 paper)Metabolomics (1 paper)PubMed (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jack Newton
8 papers receiving 1.2k citations
Jack Newton's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 890
- Spectroscopy 216
- Analytical Chemistry 122
- Complementary and alternative medicine 88
- Pharmacology 69
Countries citing papers authored by Jack Newton
This map shows the geographic impact of Jack Newton'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 Jack Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Newton more than expected).
Fields of papers citing papers by Jack Newton
This network shows the impact of papers produced by Jack Newton. 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 Jack Newton. The network helps show where Jack Newton may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Newton, 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 | Targeted Profiling: Quantitative Analysis of 1H NMR Metabolomics Data Hit paper breakdown → | 2006 | 778 |
| 2 | 2007 | 349 | |
| 3 | 2009 | 76 | |
| 4 | 2008 | 26 | |
| 5 | 2001 | 23 | |
| 6 | 2006 | 18 | |
| 7 | Leveraging Latent Information In NMR For Robust Predictive Models. | 2007 | 5 |
| 8 | 2013 | 5 |
About Jack Newton
Jack Newton is a scholar working on Molecular Biology, Nuclear and High Energy Physics, Artificial Intelligence, Analytical Chemistry and Biomedical Engineering, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), NMR spectroscopy and applications (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Advanced Chemical Sensor Technologies (2 papers), Neural Networks and Applications (2 papers), Analytical Chemistry and Chromatography (1 paper), Computational Drug Discovery Methods (1 paper) and Traditional Chinese Medicine Studies (1 paper). The work is most often cited by research in Molecular Biology (890 citations), Spectroscopy (216 citations), Analytical Chemistry (122 citations), Complementary and alternative medicine (88 citations) and Pharmacology (69 citations). Jack Newton has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Aalim M. Weljie, Carolyn M. Slupsky, Pascal Mercier, Erin E. Carlson, Giovanni Paternostro, Ray Somorjai, Douglas B. Kell, Susan C. Connor, Royston Goodacre and John D. Baker. Their work appears in journals such as Analytical Chemistry, Clinical Chemistry, Hepatology, Metabolomics and PubMed.
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.