Jay E. Johnson
- Molecular Biology
- Plant Science top 10%
- Physiology top 10%
- Cell Biology top 10%
- Genetics
- Co-authors
- F. Brad JohnsonDavid A. LightfootV. N. NjitiPiet A. J. de BoerLaura L. LacknerGene P. AblesJessica K. TylerJason D. Plummer
- Topics
- Genetics, Aging, and Longevity in Model Organisms (7 papers)Birth, Development, and Health (4 papers)Soybean genetics and cultivation (4 papers)
- Cited by
- AgingCell BiologyPlant Science
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Jay E. Johnson
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 581
- Plant Science 339
- Physiology 218
- Cell Biology 175
- Genetics 173
Countries citing papers authored by Jay E. Johnson
This map shows the geographic impact of Jay E. 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 Jay E. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay E. Johnson more than expected).
Fields of papers citing papers by Jay E. Johnson
This network shows the impact of papers produced by Jay E. 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 Jay E. Johnson. The network helps show where Jay E. Johnson may publish in the future.
Co-authorship network of co-authors of Jay E. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Jay E. Johnson. A scholar is included among the top collaborators of Jay E. Johnson 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 Jay E. Johnson. Jay E. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 27 | |
| 7 | 40 | |
| 8 | 34 | |
| 9 | 39 | |
| 10 | 78 | |
| 11 | 112 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 123 | |
| 15 | 66 | |
| 16 | 69 | |
| 17 | 10 | |
| 18 | 58 | |
| 19 | 87 | |
| 20 | Field resistance to sudden death syndrome is effective at low inoculum concentration in greenhouse assays. | 1 |
About Jay E. Johnson
Jay E. Johnson is a scholar working on Aging, Physiology and Behavioral Neuroscience, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Birth, Development, and Health (4 papers) and Soybean genetics and cultivation (4 papers). The work is most often cited by research in Aging (131 citations), Cell Biology (175 citations) and Plant Science (339 citations). Jay E. Johnson has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include F. Brad Johnson, David A. Lightfoot, V. N. Njiti, Piet A. J. de Boer, Laura L. Lackner, Gene P. Ables, Jessica K. Tyler, Jason D. Plummer, Li‐San Wang and Paul Ryvkin. Their work appears in journals such as Science, Nucleic Acids Research and PLoS ONE.
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.