Jennifer M. Taylor
- Plant Science top 0.5%
- Plant Molecular Biology Research 14
- Plant-Microbe Interactions and Immunity 13
- Plant Disease Resistance and Genetics 9
- Plant nutrient uptake and metabolism 8
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals 6
- Molecular Biology top 2%
- Plant Reproductive Biology 6
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 6
- Cell Biology top 1%
- Plant Pathogens and Fungal Diseases 8
- Co-authors
- Jana SperschneiderKaram B. SinghPeter N. DoddsDonald M. GardinerElizabeth S. DennisChris A. HelliwellW. James PeacockHua Ying
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (4 papers)
- 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
- Plant Science 3.4k
- Genetics 1.6k
- Molecular Biology 4.0k
- Cancer Research 852
- Cell Biology 863
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
The 25 scholars most cited alongside Jennifer M. Taylor, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 23 | |
| 7 | 2018 | 94 | |
| 8 | 2018 | 51 | |
| 9 | 2017 | 126 | |
| 10 | 2016 | 43 | |
| 11 | 2013 | 8 | |
| 12 | 2012 | 135 | |
| 13 | 2011 | 24 | |
| 14 | 2009 | 32 | |
| 15 | 2009 | 60 | |
| 16 | 2009 | 16 | |
| 17 | 2008 | 46 | |
| 18 | Productive ward. Stand by your bed. | 2006 | 4 |
| 19 | 2004 | 136 | |
| 20 | Genetic diversity of the human serotonin receptor 1B (HTR1B). | 2000 | 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), Plant Disease Resistance and Genetics (9 papers), Plant nutrient uptake and metabolism (8 papers), Plant Pathogens and Fungal Diseases (8 papers), Plant Reproductive Biology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Cancer-related molecular mechanisms research (6 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.