Cam Donly

1.0k citations
25 papers · 815 indexed · h-index 16

Impact in

    • Entomopathogenic Microorganisms in Pest Control
    • Insect and Pesticide Research
    • Insect-Plant Interactions and Control
    • Insect Resistance and Genetics
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Insect-Plant Interactions and Control 10
    • Entomopathogenic Microorganisms in Pest Control 6
    • Insect and Pesticide Research 5
    • Neurobiology and Insect Physiology Research 7
    • Neuroscience and Neuropharmacology Research 2

Cam Donly

25 papers receiving 802 citations

Peers

Cam Donly
Comparison fields: 5 of 69
  • Insect Science 475
  • Molecular Biology 608
  • Cellular and Molecular Neuroscience 137
  • Plant Science 144
  • Genetics 83
Replace Haruka Endo with:
Haruka Endo Japan
Feng‐Ling Si China
Jun Isoe United States
Kongming Wu China
Shuxiong Bai China
Vera Nenadović Canada
Young Seok Hong United States
Jia‐Hsin Huang Taiwan
Zhengbo He China
Guangchun Cao China
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Citations per field
00.5×1.5×
Haruka Endo · 1×
Citations per year

Countries citing papers authored by Cam Donly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Cam Donly Line = papers co-authored together Cam Donly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20222
3 202010
4 201925
5 201813
6 2017112
7 201220
8 201229
9 201081
10 200759
11 20072
12 200657
13 20045
14 200320
15 200324
16 200223
17 200297
18 200285
19 20008
20 199915

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.

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