Jack Newton

1.5k citations
8 papers · 1.2k · 1 hit paper · h-index 6

Impact in

Papers in

Jack Newton

8 papers receiving 1.2k citations

Jack Newton's Hit Papers

Targeted Profiling:  Quantitative Analysis of 1H NMR Metabolomics Data 2006 · 729 citations
7290+6+13Years since publication200400600

Peers

Jack Newton
Comparison fields: 5 of 113
  • Molecular Biology 808
  • Analytical Chemistry 111
  • Spectroscopy 188
  • Complementary and alternative medicine 82
  • Pharmacology 64
Replace Nigel J. Bailey with:
Nigel J. Bailey United Kingdom
Derek J. Crockford United Kingdom
Elizabeth Stanley United Kingdom
Mohamed N. Triba France
S. C. Connor United Kingdom
Bridgette M. Beckwith-Hall United Kingdom
Jake T. M. Pearce United Kingdom
Donald G. Robertson United States
Steven L. Robinette United States
Claire L. Gavaghan United Kingdom
Jack Newton relative to Nigel J. Bailey United Kingdom Nigel J. Bailey's profile →
Citations per field
00.5×1.5×1.8×
Nigel J. Bailey · 1×
Citations per year

Countries citing papers authored by Jack Newton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jack Newton Line = papers co-authored together Jack Newton links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Targeted Profiling:  Quantitative Analysis of 1H NMR Metabolomics Data
Hit paper breakdown →
2006729
2 2007326
3 200970
4 200819
5 200118
6 200618
7
Leveraging Latent Information In NMR For Robust Predictive Models.
20075
8 20134

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 1.2k 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 (808 citations), Analytical Chemistry (111 citations), Spectroscopy (188 citations), Complementary and alternative medicine (82 citations) and Pharmacology (64 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, Erin E. Carlson, Pascal Mercier, David Broadhurst, Royston Goodacre, Michael Sjöstróm, Conrad Bessant, Douglas B. Kell and Timothy M. D. Ebbels. Their work appears in journals such as Analytical Chemistry, Metabolomics, Hepatology, Clinical Chemistry 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.

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