Jack Newton

1.5k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Jack Newton is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Jack Newton has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Nuclear and High Energy Physics and 2 papers in Artificial Intelligence. Recurrent topics in Jack Newton's work include Metabolomics and Mass Spectrometry Studies (6 papers), NMR spectroscopy and applications (3 papers) and Neural Networks and Applications (2 papers). Jack Newton is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), NMR spectroscopy and applications (3 papers) and Neural Networks and Applications (2 papers). Jack Newton collaborates with scholars based in Canada, United States and Netherlands. Jack Newton's co-authors include Aalim M. Weljie, Pascal Mercier, Carolyn M. Slupsky, Erin E. Carlson, David Broadhurst, Susan C. Connor, Conrad Bessant, Florian Wülfert, Royston Goodacre and Ray Somorjai and has published in prestigious journals such as Analytical Chemistry, Hepatology and Clinical Chemistry.

In The Last Decade

Jack Newton

8 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeted Profiling: Quantitative Analysis of ¹H NMR Metabolomics Data

2006 725 citations Aalim M. Weljie, Jack Newton et al. Analytical Chemistry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jack Newton Canada	6	842	200	174	123	107	8	1.2k
Renger H. Jellema Netherlands	18	1.1k 1.3×	348 1.7×	258 1.5×	144 1.2×	109 1.0×	22	1.7k
Raymond Ramaker Netherlands	9	793 0.9×	271 1.4×	108 0.6×	86 0.7×	100 0.9×	9	1.2k
Nigel J. Bailey United Kingdom	19	1.3k 1.6×	372 1.9×	224 1.3×	124 1.0×	188 1.8×	24	1.8k
Maud M. Koek Netherlands	10	748 0.9×	360 1.8×	204 1.2×	64 0.5×	160 1.5×	11	1.0k
I. Bobeldijk Netherlands	19	1.1k 1.3×	388 1.9×	212 1.2×	214 1.7×	216 2.0×	34	2.0k
Bridgette M. Beckwith-Hall United Kingdom	8	839 1.0×	127 0.6×	113 0.6×	84 0.7×	257 2.4×	8	1.1k
Mohamed N. Triba France	19	999 1.2×	127 0.6×	156 0.9×	76 0.6×	203 1.9×	39	1.5k
Theo Reijmers Netherlands	24	1.2k 1.4×	510 2.5×	163 0.9×	115 0.9×	144 1.3×	43	1.6k
Derek J. Crockford United Kingdom	9	638 0.8×	188 0.9×	137 0.8×	131 1.1×	82 0.8×	11	793
Vincent M. Asiago United States	11	1.1k 1.3×	302 1.5×	168 1.0×	53 0.4×	148 1.4×	14	1.3k

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-authorship network of co-authors of Jack Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Newton. A scholar is included among the top collaborators of Jack Newton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jack Newton. Jack Newton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Athersuch, Toby J., Shahid Malik, Aalim M. Weljie, Jack Newton, & Hector C. Keun. (2013). Evaluation of ¹H NMR Metabolic Profiling Using Biofluid Mixture Design. Analytical Chemistry. 85(14). 6674–6681. 4 indexed citations

2.

Fannin, Rick D., Mark W. Russo, Thomas M. O’Connell, et al.. (2009). Acetaminophen Dosing of Humans Results in Blood Transcriptome and Metabolome Changes Consistent With Impaired Oxidative Phosphorylation. Hepatology. 51(1). 227–236. 70 indexed citations

3.

Weljie, Aalim M., Jack Newton, Frank R. Jirik, & Hans J. Vogel. (2008). Evaluating Low-Intensity Unknown Signals in Quantitative Proton NMR Mixture Analysis. Analytical Chemistry. 80(23). 8956–8965. 19 indexed citations

4.

Chang, David, Aalim M. Weljie, & Jack Newton. (2007). Leveraging Latent Information In NMR For Robust Predictive Models.. 115–126. 5 indexed citations

5.

Goodacre, Royston, David Broadhurst, Age K. Smilde, et al.. (2007). Proposed minimum reporting standards for data analysis in metabolomics. Metabolomics. 3(3). 231–241. 322 indexed citations

6.

Weljie, Aalim M., Jack Newton, Pascal Mercier, Erin E. Carlson, & Carolyn M. Slupsky. (2006). Targeted Profiling: Quantitative Analysis of ¹H NMR Metabolomics Data. Analytical Chemistry. 78(13). 4430–4442. 725 indexed citations breakdown →

7.

Chang, David, Aalim M. Weljie, & Jack Newton. (2006). LEVERAGING LATENT INFORMATION IN NMR SPECTRA FOR ROBUST PREDICTIVE MODELS. PubMed. 115–126. 18 indexed citations

8.

Wishart, David S., et al.. (2001). Magnetic Resonance Diagnostics: A New Technology for High-Throughput Clinical Diagnostics. Clinical Chemistry. 47(10). 1918–1921. 18 indexed citations

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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