Piper Jackson
- Molecular Biology top 10%
- Plant Science top 5%
- Genetics top 5%
- Ecology top 5%
- Neurology top 5%
- Co-authors
- Nigel J. RobinsonCheryl R. KuskePaul KeimRichard T. OkinakaAndrew M. TommeyAlexandra M. KlevytskaJames M. SchuppLance B. Price
- Topics
- Bacillus and Francisella bacterial research (5 papers)AI-based Problem Solving and Planning (4 papers)Bacteriophages and microbial interactions (4 papers)
- Cited by
- EndocrinologyNeurologyPlant Science
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Piper Jackson
54 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 925
- Plant Science 573
- Genetics 391
- Ecology 354
- Neurology 287
Countries citing papers authored by Piper Jackson
This map shows the geographic impact of Piper Jackson'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 Piper Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piper Jackson more than expected).
Fields of papers citing papers by Piper Jackson
This network shows the impact of papers produced by Piper Jackson. 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 Piper Jackson. The network helps show where Piper Jackson may publish in the future.
Co-authorship network of co-authors of Piper Jackson
This figure shows the co-authorship network connecting the top 25 collaborators of Piper Jackson. A scholar is included among the top collaborators of Piper Jackson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piper Jackson. Piper Jackson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 180 | |
| 6 | 1 | |
| 7 | Drinking with Friends: A Cellular Automata Approach to Modeling Peer Influence on Binge Drinking Behavior | 2 |
| 8 | 4 | |
| 9 | 23 | |
| 10 | An Evaluation of the Effective Block Approach Using P-3C and F-111 Crack Growth Data | 1 |
| 11 | 72 | |
| 12 | 2 | |
| 13 | 96 | |
| 14 | 1 | |
| 15 | The effect of cadmium on gene expression in cadmium tolerant and cadmium sensitive datura inoxia cells | 1 |
| 16 | 12 | |
| 17 | 69 | |
| 18 | 28 | |
| 19 | 2 | |
| 20 | 33 |
About Piper Jackson
Piper Jackson is a scholar working on Software, Statistics, Probability and Uncertainty and Metals and Alloys, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (5 papers), AI-based Problem Solving and Planning (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (151 citations), Neurology (287 citations) and Plant Science (573 citations). Piper Jackson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nigel J. Robinson, Cheryl R. Kuske, Paul Keim, Richard T. Okinaka, Andrew M. Tommey, Alexandra M. Klevytska, James M. Schupp, Lance B. Price, Kimothy L. Smith and Martin Hugh‐Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.