Hugh M. Robertson
- Insect Science top 0.02%
- Insect Utilization and Effects 19
- Insect-Plant Interactions and Control 18
- Insect and Pesticide Research 15
- Aging top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Neurobiology and Insect Physiology Research 53
- Genetics top 0.1%
- Insect and Arachnid Ecology and Behavior 46
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- Plant and animal studies 23
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- Insect Resistance and Genetics 22
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- Chromosomal and Genetic Variations 20
- Co-authors
- David J. LampeKevin W. WannerWilliam R. EngelsScott L. O’NeillKimberly K. O. WaldenWendy BenzR W PhillisChristine R Preston
- Journals
- Insect Molecular Biology (13 papers)Proceedings of the National Academy of Sciences (10 papers)Genetics (9 papers)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
Hugh M. Robertson
134 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Insect Science 5.8k
- Aging 465
- Cellular and Molecular Neuroscience 4.8k
- Genetics 4.8k
- Ecology, Evolution, Behavior and Systematics 2.4k
Countries citing papers authored by Hugh M. Robertson
This map shows the geographic impact of Hugh M. Robertson'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 Hugh M. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh M. Robertson more than expected).
Fields of papers citing papers by Hugh M. Robertson
This network shows the impact of papers produced by Hugh M. Robertson. 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 Hugh M. Robertson. The network helps show where Hugh M. Robertson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hugh M. Robertson, 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 | 2022 | 3 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 35 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 57 | |
| 8 | 2010 | 122 | |
| 9 | 2009 | 153 | |
| 10 | 2009 | 85 | |
| 11 | 2009 | 12 | |
| 12 | 2007 | 32 | |
| 13 | 2007 | 172 | |
| 14 | 2006 | 431 | |
| 15 | 2006 | 35 | |
| 16 | G Protein-Coupled Receptors in Anopheles gambiaebreakdown → | 2002 | 522 |
| 17 | 2001 | 59 | |
| 18 | 2001 | 50 | |
| 19 | 1997 | 25 | |
| 20 | 1996 | 96 |
About Hugh M. Robertson
Hugh M. Robertson is a scholar working on Insect Science, Aging and Cellular and Molecular Neuroscience, having authored 137 papers that have together received 13.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (53 papers), Insect and Arachnid Ecology and Behavior (46 papers), Plant and animal studies (23 papers), Insect Resistance and Genetics (22 papers), Chromosomal and Genetic Variations (20 papers), Insect Utilization and Effects (19 papers), Insect-Plant Interactions and Control (18 papers) and Insect and Pesticide Research (15 papers). The work is most often cited by research in Insect Science (5.8k citations), Aging (465 citations) and Cellular and Molecular Neuroscience (4.8k citations). Hugh M. Robertson has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include David J. Lampe, Kevin W. Wanner, William R. Engels, Scott L. O’Neill, Kimberly K. O. Walden, Wendy Benz, R W Phillis, Christine R Preston, Rosanna Giordano and Timothy L. Karr. Their work appears in journals such as Insect Molecular Biology, Proceedings of the National Academy of Sciences, Genetics, Genome Research and Genome Biology and Evolution.
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.