Cameron S. Johnson
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
- Ophthalmology top 5%
Papers in
-
- Connexins and lens biology 6
- Metabolomics and Mass Spectrometry Studies 2
- Nicotinic Acetylcholine Receptors Study 2
-
- Forensic Toxicology and Drug Analysis 8
- Co-authors
- David Smyth (1 shared paper)Helen V. Danesh‐Meyer (6 shared papers)Colin Green (6 shared papers)Nathan M. Kerr (4 shared papers)Louise Nicholson (1 shared paper)Simon J. O’Carroll (1 shared paper)William R. Good (1 shared paper)Jie Zhang (1 shared paper)
- Journals
- Forensic Science International (5 papers)Investigative Ophthalmology & Visual Science (2 papers)Experimental Neurology (2 papers)The Plant Cell (1 paper)Brain (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Cameron S. Johnson
16 papers receiving 1.2k citations
Cameron S. Johnson's Hit Papers
Peers
Comparison fields: 5 of 78
- Toxicology 90
- Ophthalmology 108
- Molecular Biology 887
- Plant Science 481
- Horticulture 11
Countries citing papers authored by Cameron S. Johnson
This map shows the geographic impact of Cameron S. Johnson'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 Cameron S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron S. Johnson more than expected).
Fields of papers citing papers by Cameron S. Johnson
This network shows the impact of papers produced by Cameron S. Johnson. 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 Cameron S. Johnson. The network helps show where Cameron S. Johnson may publish in the future.
Co-authors
The 14 scholars most cited alongside Cameron S. Johnson, 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 | TRANSPARENT TESTA GLABRA2 , a Trichome and Seed Coat Development Gene of Arabidopsis, Encodes a WRKY Transcription Factor Hit paper breakdown → | 2002 | 659 |
| 2 | 2012 | 163 | |
| 3 | 2010 | 91 | |
| 4 | 2010 | 60 | |
| 5 | 2011 | 43 | |
| 6 | 2010 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2011 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 1 |
About Cameron S. Johnson
Cameron S. Johnson is a scholar working on Molecular Biology, Toxicology, Pharmacology, Clinical Psychology and Ophthalmology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (8 papers), Connexins and lens biology (6 papers), Cannabis and Cannabinoid Research (5 papers), Glaucoma and retinal disorders (2 papers), Poisoning and overdose treatments (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Analytical Chemistry and Chromatography (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Toxicology (90 citations), Ophthalmology (108 citations), Molecular Biology (887 citations), Plant Science (481 citations) and Horticulture (11 citations). Cameron S. Johnson has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include David Smyth, Helen V. Danesh‐Meyer, Colin Green, Nathan M. Kerr, Louise Nicholson, Simon J. O’Carroll, William R. Good, Jie Zhang, Elizabeth J. Kolbe and Roy Gerona. Their work appears in journals such as Forensic Science International, Investigative Ophthalmology & Visual Science, Experimental Neurology, The Plant Cell and Brain.
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.