Jane M. Deeley
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Connexins and lens biology 3
- Lipid Membrane Structure and Behavior 3
-
- Fatty Acid Research and Health 3
- Co-authors
- Stephen J. Blanksby (7 shared papers)Todd W. Mitchell (7 shared papers)Michael C. Thomas (3 shared papers)David G. Harman (2 shared papers)Jessica Nealon (2 shared papers)Robert C. Murphy (2 shared papers)Roger J.W. Truscott (5 shared papers)Shane R. Ellis (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Journal of Lipid Research (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)AGE (1 paper)
- Partner nations
- AustraliaUnited StatesAustria
In The Last Decade
Jane M. Deeley
7 papers receiving 655 citations
Peers
Comparison fields: 5 of 66
- Spectroscopy 444
- Biochemistry 72
- Molecular Biology 534
- Clinical Biochemistry 17
- Biophysics 12
Countries citing papers authored by Jane M. Deeley
This map shows the geographic impact of Jane M. Deeley'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 Jane M. Deeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane M. Deeley more than expected).
Fields of papers citing papers by Jane M. Deeley
This network shows the impact of papers produced by Jane M. Deeley. 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 Jane M. Deeley. The network helps show where Jane M. Deeley may publish in the future.
Co-authors
The 16 scholars most cited alongside Jane M. Deeley, 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 | 2007 | 310 | |
| 2 | 2007 | 145 | |
| 3 | 2010 | 64 | |
| 4 | 2010 | 56 | |
| 5 | 2009 | 54 | |
| 6 | 2011 | 30 | |
| 7 | 2008 | 10 | |
| 8 | Investigating human lens lipids using tandem mass spectrometric techniques | 2010 | 1 |
About Jane M. Deeley
Jane M. Deeley is a scholar working on Molecular Biology, Nutrition and Dietetics, Spectroscopy, Biochemistry and Pathology and Forensic Medicine, having authored 8 papers that have together received 670 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Fatty Acid Research and Health (3 papers), Connexins and lens biology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Urinary Bladder and Prostate Research (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Spectroscopy (444 citations), Biochemistry (72 citations), Molecular Biology (534 citations), Clinical Biochemistry (17 citations) and Biophysics (12 citations). Jane M. Deeley has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include Stephen J. Blanksby, Todd W. Mitchell, Michael C. Thomas, David G. Harman, Jessica Nealon, Robert C. Murphy, Roger J.W. Truscott, Shane R. Ellis, Joseph A. Hankin and Michael G. Friedrich. Their work appears in journals such as Analytical Chemistry, Journal of Lipid Research, Journal of the American Society for Mass Spectrometry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and AGE.
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.