Kyle T. Beggs

1.1k total citations
13 papers, 829 citations indexed

About

Kyle T. Beggs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kyle T. Beggs has authored 13 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Kyle T. Beggs's work include Insect and Pesticide Research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Kyle T. Beggs is often cited by papers focused on Insect and Pesticide Research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Kyle T. Beggs collaborates with scholars based in New Zealand, United States and Canada. Kyle T. Beggs's co-authors include Alison R. Mercer, Julie A. Mustard, Trudy J. Milne, Murray C. Meikle, Claire Grierson, Michael J. Holdsworth, Michael Bevan, Jian‐Sheng Du, Caroline Smith and Marta de Torres Zabala and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Kyle T. Beggs

13 papers receiving 813 citations

Peers

Kyle T. Beggs
William H. Petri United States
Chao Ning China
Carsten Horn Germany
Elizabeth E. Marr United States
J. Jacob Brazil
William H. Petri United States
Kyle T. Beggs
Citations per year, relative to Kyle T. Beggs Kyle T. Beggs (= 1×) peers William H. Petri

Countries citing papers authored by Kyle T. Beggs

Since Specialization
Citations

This map shows the geographic impact of Kyle T. Beggs'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 Kyle T. Beggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle T. Beggs more than expected).

Fields of papers citing papers by Kyle T. Beggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle T. Beggs. 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 Kyle T. Beggs. The network helps show where Kyle T. Beggs may publish in the future.

Co-authorship network of co-authors of Kyle T. Beggs

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle T. Beggs. A scholar is included among the top collaborators of Kyle T. Beggs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyle T. Beggs. Kyle T. Beggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Aung, Htin, et al.. (2014). Characterisation of the DNA gyrase from the thermophilic eubacterium Thermus thermophilus. Protein Expression and Purification. 107. 62–67. 5 indexed citations
2.
Beggs, Kyle T., Joel D. A. Tyndall, & Alison R. Mercer. (2011). Honey Bee Dopamine and Octopamine Receptors Linked to Intracellular Calcium Signaling Have a Close Phylogenetic and Pharmacological Relationship. PLoS ONE. 6(11). e26809–e26809. 65 indexed citations
3.
Beggs, Kyle T. & Alison R. Mercer. (2009). Dopamine Receptor Activation By Honey Bee Queen Pheromone. Current Biology. 19(14). 1206–1209. 66 indexed citations
4.
Beggs, Kyle T., Kelly A. Glendining, Vanina Vergoz, et al.. (2007). Queen pheromone modulates brain dopamine function in worker honey bees. Proceedings of the National Academy of Sciences. 104(7). 2460–2464. 129 indexed citations
6.
Beggs, Kyle T., et al.. (2007). Osteogenic Gene Expression by Human Periodontal Ligament Cells under Cyclic Tension. Journal of Dental Research. 86(12). 1212–1216. 124 indexed citations
7.
Mustard, Julie A., Kyle T. Beggs, & Alison R. Mercer. (2005). Molecular biology of the invertebrate dopamine receptors. Archives of Insect Biochemistry and Physiology. 59(3). 103–117. 93 indexed citations
8.
Beggs, Kyle T., et al.. (2005). Characterization of a D2-like dopamine receptor (AmDOP3) in honey bee, Apis mellifera. Insect Biochemistry and Molecular Biology. 35(8). 873–882. 80 indexed citations
9.
Beggs, Kyle T., Ann R. Holmes, Richard D. Cannon, & Alison M. Rich. (2004). Detection ofCandida albicansmRNA in Archival Histopathology Samples by Reverse Transcription-PCR. Journal of Clinical Microbiology. 42(5). 2275–2278. 8 indexed citations
10.
McLenachan, Patricia A., et al.. (1994). Characterization of the PSG11 Gene. Genomics. 22(2). 356–363. 7 indexed citations
11.
Grierson, Claire, Jian‐Sheng Du, Marta de Torres Zabala, et al.. (1994). Separate cis sequences and trans factors direct metabolic and developmental regulation of a potato tuber storage protein gene. The Plant Journal. 5(6). 815–826. 160 indexed citations
12.
Bevan, Michael, Vincent Colot, Michael C. U. Hammond-Kosack, et al.. (1994). Transcriptional control of plant storage protein genes.. Bristol Research (University of Bristol). 21–27. 1 indexed citations
13.
Bevan, Michael, Vincent Colot, Michael C. U. Hammond-Kosack, et al.. (1993). Transcriptional control of plant storage protein genes. Philosophical Transactions of the Royal Society B Biological Sciences. 342(1301). 209–215. 30 indexed citations

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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