A. John Dane
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis 5
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications 15
- Analytical Chemistry and Chromatography 11
- Analytical Chemistry top 5%
- Analytical chemistry methods development 3
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- Toxic Organic Pollutants Impact 3
- Pharmacology top 10%
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- Metabolomics and Mass Spectrometry Studies 6
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- Garlic and Onion Studies 4
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- Advanced Combustion Engine Technologies 3
- Co-authors
- Robert B. CodyRabi A. MusahAshton D. LesiakEric BlockJason R. E. ShepardMarek DominKent J. VoorheesRobert L. McCormick
- Journals
- Rapid Communications in Mass Spectrometry (7 papers)Analytical Chemistry (3 papers)The Analyst (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
A. John Dane
28 papers receiving 963 citations
Peers
Comparison fields: 5 of 93
- Toxicology 149
- Spectroscopy 517
- Analytical Chemistry 153
- Health, Toxicology and Mutagenesis 107
- Pharmacology 61
Countries citing papers authored by A. John Dane
This map shows the geographic impact of A. John Dane'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 A. John Dane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. John Dane more than expected).
Fields of papers citing papers by A. John Dane
This network shows the impact of papers produced by A. John Dane. 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 A. John Dane. The network helps show where A. John Dane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. John Dane, 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 | 2021 | 7 | |
| 2 | 2020 | 5 | |
| 3 | 2016 | 17 | |
| 4 | Rapid Screening and Quantification of Synthetic Cannabinoids in DART-MS and NMR Spectroscopy | 2016 | 1 |
| 5 | 2016 | 18 | |
| 6 | 2015 | 51 | |
| 7 | 2015 | 54 | |
| 8 | 2015 | 29 | |
| 9 | 2014 | 38 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 50 | |
| 12 | 2013 | 65 | |
| 13 | 2012 | 58 | |
| 14 | 2012 | 57 | |
| 15 | 2012 | 48 | |
| 16 | 2010 | 72 | |
| 17 | 2010 | 63 | |
| 18 | 2010 | 66 | |
| 19 | 2010 | 85 | |
| 20 | 2006 | 13 |
About A. John Dane
A. John Dane is a scholar working on Toxicology, Spectroscopy, Analytical Chemistry, Fluid Flow and Transfer Processes and Food Science, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (15 papers), Analytical Chemistry and Chromatography (11 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Forensic Toxicology and Drug Analysis (5 papers), Garlic and Onion Studies (4 papers), Analytical chemistry methods development (3 papers), Advanced Combustion Engine Technologies (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Toxicology (149 citations), Spectroscopy (517 citations), Analytical Chemistry (153 citations), Health, Toxicology and Mutagenesis (107 citations) and Pharmacology (61 citations). A. John Dane has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Robert B. Cody, Rabi A. Musah, Ashton D. Lesiak, Eric Block, Jason R. E. Shepard, Marek Domin, Kent J. Voorhees, Robert L. McCormick, Oluwatosin E. Adedipe and Jan Schraml. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Analytical Chemistry, The Analyst, Forensic Science International and Journal of Agricultural and Food Chemistry.
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.