Tom Denyer
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Chromosomal and Genetic Variations
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- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Photosynthetic Processes and Mechanisms
- CRISPR and Genetic Engineering
- Plant Reproductive Biology
Papers in
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- Single-cell and spatial transcriptomics 6
- Genomics and Phylogenetic Studies 2
- Extracellular vesicles in disease 1
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- Plant Molecular Biology Research 5
- Plant nutrient uptake and metabolism 1
- Plant Genetic and Mutation Studies 1
- Plant and Biological Electrophysiology Studies 1
- Co-authors
- Marja C.P. Timmermans (8 shared papers)Xiaoli Ma (4 shared papers)Emanuele Scacchi (2 shared papers)Kay Nieselt (2 shared papers)Wolf B. Frommer (2 shared papers)Michael M. Wudick (2 shared papers)Manuel Miras (1 shared paper)Ji Yun Kim (1 shared paper)
- Journals
- Trends in Plant Science (2 papers)PLANT PHYSIOLOGY (1 paper)The Plant Cell (1 paper)Genome Research (1 paper)BioTechniques (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Tom Denyer
9 papers receiving 683 citations
Tom Denyer's Hit Papers
Peers
Comparison fields: 5 of 62
- Plant Science 465
- Molecular Biology 467
- Biophysics 36
- Horticulture 4
- Endocrinology 7
Countries citing papers authored by Tom Denyer
This map shows the geographic impact of Tom Denyer'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 Tom Denyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Denyer more than expected).
Fields of papers citing papers by Tom Denyer
This network shows the impact of papers produced by Tom Denyer. 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 Tom Denyer. The network helps show where Tom Denyer may publish in the future.
Co-authors
The 22 scholars most cited alongside Tom Denyer, 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 | Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing Hit paper breakdown → | 2019 | 362 |
| 2 | 2020 | 200 | |
| 3 | 2021 | 46 | |
| 4 | 2020 | 33 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 4 | |
| 9 | 2021 | 3 |
About Tom Denyer
Tom Denyer is a scholar working on Molecular Biology, Plant Science, Biophysics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 693 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Plant Molecular Biology Research (5 papers), Cell Image Analysis Techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant nutrient uptake and metabolism (1 paper), Plant Genetic and Mutation Studies (1 paper), Extracellular vesicles in disease (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). The work is most often cited by research in Plant Science (465 citations), Molecular Biology (467 citations), Biophysics (36 citations), Horticulture (4 citations) and Endocrinology (7 citations). Tom Denyer has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Marja C.P. Timmermans, Xiaoli Ma, Emanuele Scacchi, Kay Nieselt, Wolf B. Frommer, Michael M. Wudick, Manuel Miras, Ji Yun Kim, Li‐Qing Chen and Efthymia Symeonidi. Their work appears in journals such as Trends in Plant Science, PLANT PHYSIOLOGY, The Plant Cell, Genome Research and BioTechniques.
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.