Tim Hewitt
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Plant-Microbe Interactions and Immunity
- Plant Pathogens and Resistance
- Light effects on plants
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- Yeasts and Rust Fungi Studies
- Photosynthetic Processes and Mechanisms
Papers in
-
- Wheat and Barley Genetics and Pathology 8
- Plant Disease Resistance and Genetics 6
- Light effects on plants 1
- Plant Molecular Biology Research 1
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- Yeasts and Rust Fungi Studies 6
- Photosynthetic Processes and Mechanisms 1
- Co-authors
- Jana Sperschneider (5 shared papers)Peter N. Dodds (5 shared papers)Melania Figueroa (5 shared papers)Rohit Mago (3 shared papers)Narayana M. Upadhyaya (4 shared papers)Feng Li (3 shared papers)Jianping Zhang (3 shared papers)Jian Chen (1 shared paper)
- Journals
- Theoretical and Applied Genetics (3 papers)Bioinformatics (1 paper)Nature Plants (1 paper)G3 Genes Genomes Genetics (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Tim Hewitt
12 papers receiving 242 citations
Peers
Comparison fields: 5 of 34
- Plant Science 207
- Molecular Biology 128
- Agronomy and Crop Science 15
- Cell Biology 20
- Genetics 18
Countries citing papers authored by Tim Hewitt
This map shows the geographic impact of Tim Hewitt'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 Tim Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Hewitt more than expected).
Fields of papers citing papers by Tim Hewitt
This network shows the impact of papers produced by Tim Hewitt. 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 Tim Hewitt. The network helps show where Tim Hewitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Hewitt, 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 | 2021 | 86 | |
| 2 | 2017 | 47 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2003 | 1 |
About Tim Hewitt
Tim Hewitt is a scholar working on Plant Science, Molecular Biology, Computer Networks and Communications, Agronomy and Crop Science and Artificial Intelligence, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (8 papers), Plant Disease Resistance and Genetics (6 papers), Yeasts and Rust Fungi Studies (6 papers), Photosynthetic Processes and Mechanisms (1 paper), Light effects on plants (1 paper), Plant Molecular Biology Research (1 paper), Wireless Communication Networks Research (1 paper) and Bioenergy crop production and management (1 paper). The work is most often cited by research in Plant Science (207 citations), Molecular Biology (128 citations), Agronomy and Crop Science (15 citations), Cell Biology (20 citations) and Genetics (18 citations). Tim Hewitt has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jana Sperschneider, Peter N. Dodds, Melania Figueroa, Rohit Mago, Narayana M. Upadhyaya, Feng Li, Jianping Zhang, Jian Chen, Aihua Wang and Diana Ortiz. Their work appears in journals such as Theoretical and Applied Genetics, Bioinformatics, Nature Plants, G3 Genes Genomes Genetics and PLANT PHYSIOLOGY.
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.