N. Young
Impact in
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Biomedical Text Mining and Ontologies
- Biological Psychiatry top 10%
Papers in ⓘ
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- Machine Learning in Bioinformatics 1
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- Plant Molecular Biology Research 2
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- David S. Wishart (2 shared papers)Jianguo Xia (1 shared paper)Nikolaos Psychogios (1 shared paper)Sambasivarao Damaraju (1 shared paper)Dongping Cheng (1 shared paper)Craig Knox (1 shared paper)Paul Stothard (1 shared paper)Christine A. Beveridge (2 shared papers)
- Journals
- PLANT PHYSIOLOGY (2 papers)Nucleic Acids Research (2 papers)Journal of Biochemical and Molecular Toxicology (1 paper)SHILAP Revista de lepidopterología (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)
- Partner nations
- CanadaAustraliaUnited Kingdom
In The Last Decade
N. Young
9 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.3k
- Biological Psychiatry 42
- Spectroscopy 181
- Plant Science 373
- Complementary and alternative medicine 70
Countries citing papers authored by N. Young
This map shows the geographic impact of N. Young'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 N. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Young more than expected).
Fields of papers citing papers by N. Young
This network shows the impact of papers produced by N. Young. 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 N. Young. The network helps show where N. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Young, 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 | MetaboAnalyst: a web server for metabolomic data analysis and interpretation Hit paper breakdown → | 2009 | 1702 |
| 2 | 2008 | 188 | |
| 3 | 2007 | 85 | |
| 4 | 2014 | 42 | |
| 5 | 2012 | 30 | |
| 6 | 2003 | 23 | |
| 7 | 2017 | 3 | |
| 8 | 2006 | 3 | |
| 9 | 2010 | 1 |
About N. Young
N. Young is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Mechanics of Materials, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Biofuel production and bioconversion (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Advanced Chemical Sensor Technologies (1 paper), Machine Learning in Bioinformatics (1 paper), Laser-induced spectroscopy and plasma (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Laser Material Processing Techniques (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Biological Psychiatry (42 citations), Spectroscopy (181 citations), Plant Science (373 citations) and Complementary and alternative medicine (70 citations). N. Young has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include David S. Wishart, Jianguo Xia, Nikolaos Psychogios, Sambasivarao Damaraju, Dongping Cheng, Craig Knox, Paul Stothard, Christine A. Beveridge, Colin Turnbull and Catherine Rameau. Their work appears in journals such as PLANT PHYSIOLOGY, Nucleic Acids Research, Journal of Biochemical and Molecular Toxicology, SHILAP Revista de lepidopterología and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
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.