Jennifer M. Taylor
- Molecular Biology top 2%
- Plant Science top 0.5%
- Genetics top 1%
- Cell Biology top 1%
- Cancer Research top 2%
- Co-authors
- Jana SperschneiderKaram B. SinghPeter N. DoddsDonald M. GardinerElizabeth S. DennisChris A. HelliwellW. James PeacockHua Ying
- Topics
- Plant Molecular Biology Research (14 papers)Plant-Microbe Interactions and Immunity (13 papers)Plant Disease Resistance and Genetics (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jennifer M. Taylor
119 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 4.0k
- Plant Science 3.4k
- Genetics 1.6k
- Cell Biology 863
- Cancer Research 852
Countries citing papers authored by Jennifer M. Taylor
This map shows the geographic impact of Jennifer M. Taylor'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 Jennifer M. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Taylor more than expected).
Fields of papers citing papers by Jennifer M. Taylor
This network shows the impact of papers produced by Jennifer M. Taylor. 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 Jennifer M. Taylor. The network helps show where Jennifer M. Taylor may publish in the future.
Co-authorship network of co-authors of Jennifer M. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Taylor. A scholar is included among the top collaborators of Jennifer M. Taylor 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 Jennifer M. Taylor. Jennifer M. Taylor 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 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 94 | |
| 8 | 51 | |
| 9 | 126 | |
| 10 | 43 | |
| 11 | 8 | |
| 12 | 135 | |
| 13 | 24 | |
| 14 | 32 | |
| 15 | 60 | |
| 16 | 16 | |
| 17 | 46 | |
| 18 | Productive ward. Stand by your bed. | 4 |
| 19 | 136 | |
| 20 | Genetic diversity of the human serotonin receptor 1B (HTR1B). | 2 |
About Jennifer M. Taylor
Jennifer M. Taylor is a scholar working on Plant Science, Cancer Research and Molecular Biology, having authored 123 papers that have together received 8.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Plant-Microbe Interactions and Immunity (13 papers) and Plant Disease Resistance and Genetics (9 papers). The work is most often cited by research in Plant Science (3.4k citations), Genetics (1.6k citations) and Molecular Biology (4.0k citations). Jennifer M. Taylor has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jana Sperschneider, Karam B. Singh, Peter N. Dodds, Donald M. Gardiner, Elizabeth S. Dennis, Chris A. Helliwell, W. James Peacock, Hua Ying, John M. Manners and Stuart Stephen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.