David C. Hooker
- Soil Science top 2%
- Soil Carbon and Nitrogen Dynamics 17
- Plant Science top 1%
- Weed Control and Herbicide Applications 75
- Nematode management and characterization studies 23
- Mycotoxins in Agriculture and Food 16
- Legume Nitrogen Fixing Symbiosis 16
- Soybean genetics and cultivation 15
- Allelopathy and phytotoxic interactions 12
- Pollution top 2%
- Pesticide and Herbicide Environmental Studies 63
- Agronomy and Crop Science top 2%
- Cell Biology top 5%
- Co-authors
- A. W. SchaafsmaLily Tamburic-IlincicPeter H. SikkemaNader SoltaniDarren E. RobinsonLaura L. Van EerdJ. David MillerKate A. Congreves
- Cited by
- Soil SciencePlant SciencePollution
- Journals
- Weed Technology (34 papers)Weed Science (9 papers)Canadian Journal of Soil Science (8 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
David C. Hooker
111 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 71
- Soil Science 422
- Plant Science 1.5k
- Pollution 356
- Agronomy and Crop Science 288
- Cell Biology 430
Countries citing papers authored by David C. Hooker
This map shows the geographic impact of David C. Hooker'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 David C. Hooker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hooker more than expected).
Fields of papers citing papers by David C. Hooker
This network shows the impact of papers produced by David C. Hooker. 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 David C. Hooker. The network helps show where David C. Hooker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Hooker, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 6 | |
| 19 | The DONcast model: using weather variables pre- and post-heading to predict deoxynivalenol content in winter wheat | 2003 | 14 |
| 20 | 2001 | 112 |
About David C. Hooker
David C. Hooker is a scholar working on Pollution, Plant Science and Soil Science, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Weed Control and Herbicide Applications (75 papers), Pesticide and Herbicide Environmental Studies (63 papers), Nematode management and characterization studies (23 papers), Soil Carbon and Nitrogen Dynamics (17 papers), Mycotoxins in Agriculture and Food (16 papers), Legume Nitrogen Fixing Symbiosis (16 papers), Soybean genetics and cultivation (15 papers) and Allelopathy and phytotoxic interactions (12 papers). The work is most often cited by research in Soil Science (422 citations), Plant Science (1.5k citations) and Pollution (356 citations). David C. Hooker has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include A. W. Schaafsma, Lily Tamburic-Ilincic, Peter H. Sikkema, Nader Soltani, Darren E. Robinson, Laura L. Van Eerd, J. David Miller, Kate A. Congreves, Bill Deen and Ken Janovicek. Their work appears in journals such as Weed Technology, Weed Science, Canadian Journal of Soil Science, Canadian Journal of Plant Pathology and Agronomy Journal.
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.