Glenn F. King
- Microbiology top 0.05%
- Antimicrobial Peptides and Activities 44
- Genetics top 0.05%
- Venomous Animal Envenomation and Studies 114
- Bacterial Genetics and Biotechnology 24
- Insect Science top 0.05%
- Insect and Pesticide Research 79
- Molecular Biology top 0.2%
- Ion channel regulation and function 90
- Nicotinic Acetylcholine Receptors Study 64
- Biochemical and Structural Characterization 27
- Paleontology top 0.5%
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- Neurobiology and Insect Physiology Research 45
- Co-authors
- Paul F. AlewoodEivind A. B. UndheimVolker HerzigMarkus MuttenthalerDavid J. AdamsMehdi MobliGraham M. NicholsonPierre Escoubas
- Cited by
- MicrobiologyGeneticsInsect Science
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Glenn F. King
349 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Microbiology 2.2k
- Genetics 7.0k
- Insect Science 2.9k
- Molecular Biology 10.8k
- Paleontology 1.1k
Countries citing papers authored by Glenn F. King
This map shows the geographic impact of Glenn F. King'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 Glenn F. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn F. King more than expected).
Fields of papers citing papers by Glenn F. King
This network shows the impact of papers produced by Glenn F. King. 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 Glenn F. King. The network helps show where Glenn F. King may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Glenn F. King, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 16 | |
| 14 | 2018 | 93 | |
| 15 | 2018 | 196 | |
| 16 | 2016 | 17 | |
| 17 | Exploring the immunosuppressive potential of venom-derived molecules | 2016 | 1 |
| 18 | 2014 | 131 | |
| 19 | 2013 | 148 | |
| 20 | A statistical model estimating the number of African-American physicians in the United States. | 1995 | 5 |
About Glenn F. King
Glenn F. King is a scholar working on Microbiology, Insect Science and Genetics, having authored 354 papers that have together received 16.2k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (114 papers), Ion channel regulation and function (90 papers), Insect and Pesticide Research (79 papers), Nicotinic Acetylcholine Receptors Study (64 papers), Neurobiology and Insect Physiology Research (45 papers), Antimicrobial Peptides and Activities (44 papers), Biochemical and Structural Characterization (27 papers) and Bacterial Genetics and Biotechnology (24 papers). The work is most often cited by research in Microbiology (2.2k citations), Genetics (7.0k citations) and Insect Science (2.9k citations). Glenn F. King has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul F. Alewood, Eivind A. B. Undheim, Volker Herzig, Markus Muttenthaler, David J. Adams, Mehdi Mobli, Graham M. Nicholson, Pierre Escoubas, Bryan G. Fry and Margaret C. Hardy. Their work appears in journals such as Nature, Science and Cell.
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.