Cam Donly
Impact in
- Insect Science top 1%
- Entomopathogenic Microorganisms in Pest Control
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
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- Insect Resistance and Genetics
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
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- Insect-Plant Interactions and Control 10
- Entomopathogenic Microorganisms in Pest Control 6
- Insect and Pesticide Research 5
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- Neurobiology and Insect Physiology Research 7
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- David A. TheilmannStanley CaveneyMartin A. ErlandsonQianjun LiLu-Lin LiLeslie G. WillisRoselyne LabbéIan M. Scott
- Journals
- Insect Biochemistry and Molecular Biology (5 papers)Virology (3 papers)Journal of Experimental Biology (2 papers)Insect Molecular Biology (2 papers)Journal of General Virology (2 papers)
- Partner nations
- Canada
In The Last Decade
Cam Donly
25 papers receiving 802 citations
Peers
Comparison fields: 5 of 69
- Insect Science 475
- Molecular Biology 608
- Cellular and Molecular Neuroscience 137
- Plant Science 144
- Genetics 83
Countries citing papers authored by Cam Donly
This map shows the geographic impact of Cam Donly'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 Cam Donly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cam Donly more than expected).
Fields of papers citing papers by Cam Donly
This network shows the impact of papers produced by Cam Donly. 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 Cam Donly. The network helps show where Cam Donly may publish in the future.
Co-authors
The 25 scholars most cited alongside Cam Donly, 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 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 25 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 112 | |
| 7 | 2012 | 20 | |
| 8 | 2012 | 29 | |
| 9 | 2010 | 81 | |
| 10 | 2007 | 59 | |
| 11 | 2007 | 2 | |
| 12 | 2006 | 57 | |
| 13 | 2004 | 5 | |
| 14 | 2003 | 20 | |
| 15 | 2003 | 24 | |
| 16 | 2002 | 23 | |
| 17 | 2002 | 97 | |
| 18 | 2002 | 85 | |
| 19 | 2000 | 8 | |
| 20 | 1999 | 15 |
About Cam Donly
Cam Donly is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology and Nutrition and Dietetics, having authored 25 papers that have together received 815 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (15 papers), Insect-Plant Interactions and Control (10 papers), Neurobiology and Insect Physiology Research (7 papers), Entomopathogenic Microorganisms in Pest Control (6 papers), Insect and Pesticide Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Drug Transport and Resistance Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Insect Science (475 citations), Molecular Biology (608 citations), Cellular and Molecular Neuroscience (137 citations), Plant Science (144 citations) and Genetics (83 citations). Cam Donly has collaborated with scholars based in Canada. Frequent co-authors include David A. Theilmann, Stanley Caveney, Martin A. Erlandson, Qianjun Li, Lu-Lin Li, Leslie G. Willis, Roselyne Labbé, Ian M. Scott, Christina B. McCarthy and Jeremy N. McNeil. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Virology, Journal of Experimental Biology, Insect Molecular Biology and Journal of General Virology.
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.