Ali Pendle
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Chromosomal and Genetic Variations
- Legume Nitrogen Fixing Symbiosis
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- Plant Reproductive Biology
- Plant tissue culture and regeneration
- RNA modifications and cancer
- Photosynthetic Processes and Mechanisms
Papers in
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- Plant Molecular Biology Research 6
- Plant nutrient uptake and metabolism 3
- Chromosomal and Genetic Variations 3
- Plant responses to water stress 2
- Plant Genetic and Mutation Studies 2
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- Genomics and Chromatin Dynamics 2
- Photosynthetic Processes and Mechanisms 2
- RNA Research and Splicing 2
- Co-authors
- Peter Shaw (8 shared papers)Yoselin Benitez‐Alfonso (2 shared papers)Christine Faulkner (1 shared paper)Shunsuke Miyashima (1 shared paper)Andrew Maule (1 shared paper)Ykä Helariutta (1 shared paper)Stefanie Rosa (2 shared papers)Nobuko Ohmido (2 shared papers)
- Journals
- The Plant Cell (3 papers)Nucleic Acids Research (2 papers)Theoretical and Applied Genetics (1 paper)Nature Plants (1 paper)Developmental Cell (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Ali Pendle
11 papers receiving 731 citations
Peers
Comparison fields: 5 of 53
- Plant Science 532
- Molecular Biology 471
- Endocrinology 14
- Pharmacology 19
- Horticulture 2
Countries citing papers authored by Ali Pendle
This map shows the geographic impact of Ali Pendle'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 Ali Pendle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Pendle more than expected).
Fields of papers citing papers by Ali Pendle
This network shows the impact of papers produced by Ali Pendle. 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 Ali Pendle. The network helps show where Ali Pendle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Pendle, 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 | 2013 | 210 | |
| 2 | 2017 | 131 | |
| 3 | 2012 | 82 | |
| 4 | 2009 | 81 | |
| 5 | 2013 | 72 | |
| 6 | 2014 | 54 | |
| 7 | 2010 | 37 | |
| 8 | 2017 | 30 | |
| 9 | 2019 | 24 | |
| 10 | 2014 | 10 | |
| 11 | 2016 | 4 |
About Ali Pendle
Ali Pendle is a scholar working on Plant Science, Molecular Biology, Organic Chemistry, Pharmacology and Genetics, having authored 11 papers that have together received 735 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant responses to water stress (2 papers), RNA Research and Splicing (2 papers) and Plant Genetic and Mutation Studies (2 papers). The work is most often cited by research in Plant Science (532 citations), Molecular Biology (471 citations), Endocrinology (14 citations), Pharmacology (19 citations) and Horticulture (2 citations). Ali Pendle has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Peter Shaw, Yoselin Benitez‐Alfonso, Christine Faulkner, Shunsuke Miyashima, Andrew Maule, Ykä Helariutta, Stefanie Rosa, Nobuko Ohmido, Olga Koroleva and Azahara C. Martín. Their work appears in journals such as The Plant Cell, Nucleic Acids Research, Theoretical and Applied Genetics, Nature Plants and Developmental Cell.
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.