Jake Stout
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Plant Science top 2%
- GABA and Rice Research
- Plant Molecular Biology Research
- Plant Parasitism and Resistance
Papers in
-
- Plant biochemistry and biosynthesis 9
- Plant Gene Expression Analysis 8
- Polyamine Metabolism and Applications 3
- DNA Repair Mechanisms 1
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- Cannabis and Cannabinoid Research 6
- Co-authors
- Jonathan E. Page (6 shared papers)Clint Chapple (7 shared papers)Jing‐Ke Weng (3 shared papers)Harm van Bakel (2 shared papers)Timothy R. Hughes (2 shared papers)Atina G. Coté (1 shared paper)Andrew Sharpe (1 shared paper)Max O. Ruegger (3 shared papers)
- Journals
- The Plant Journal (3 papers)Proceedings of the National Academy of Sciences (2 papers)Genome Research (1 paper)Frontiers in Immunology (1 paper)Genetics (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Jake Stout
18 papers receiving 1.9k citations
Jake Stout's Hit Papers
Peers
Comparison fields: 5 of 99
- Pharmacology 786
- Plant Science 1.2k
- Biotechnology 158
- Molecular Biology 1.1k
- Biochemistry 92
Countries citing papers authored by Jake Stout
This map shows the geographic impact of Jake Stout'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 Jake Stout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Stout more than expected).
Fields of papers citing papers by Jake Stout
This network shows the impact of papers produced by Jake Stout. 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 Jake Stout. The network helps show where Jake Stout may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Stout, 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 | The draft genome and transcriptome of Cannabis sativa Hit paper breakdown → | 2011 | 458 |
| 2 | 2009 | 260 | |
| 3 | 2012 | 243 | |
| 4 | 2015 | 240 | |
| 5 | 2018 | 169 | |
| 6 | 2012 | 159 | |
| 7 | 2008 | 148 | |
| 8 | 2011 | 99 | |
| 9 | 2007 | 53 | |
| 10 | 2017 | 51 | |
| 11 | 2008 | 35 | |
| 12 | 2019 | 33 | |
| 13 | 2014 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2004 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 4 |
About Jake Stout
Jake Stout is a scholar working on Molecular Biology, Pharmacology, Plant Science, Biotechnology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (9 papers), Plant Gene Expression Analysis (8 papers), Cannabis and Cannabinoid Research (6 papers), Biochemical and biochemical processes (4 papers), Polyamine Metabolism and Applications (3 papers), Lipid metabolism and biosynthesis (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Pharmacology (786 citations), Plant Science (1.2k citations), Biotechnology (158 citations), Molecular Biology (1.1k citations) and Biochemistry (92 citations). Jake Stout has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jonathan E. Page, Clint Chapple, Jing‐Ke Weng, Harm van Bakel, Timothy R. Hughes, Atina G. Coté, Andrew Sharpe, Max O. Ruegger, John M. Humphreys and Shawn M. Clark. Their work appears in journals such as The Plant Journal, Proceedings of the National Academy of Sciences, Genome Research, Frontiers in Immunology and Genetics.
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.