Gregory A. Sword

7.9k total citations
141 papers, 5.4k citations indexed

About

Gregory A. Sword is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Genetics. According to data from OpenAlex, Gregory A. Sword has authored 141 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Ecology, Evolution, Behavior and Systematics, 65 papers in Insect Science and 50 papers in Genetics. Recurrent topics in Gregory A. Sword's work include Plant and animal studies (44 papers), Insect-Plant Interactions and Control (36 papers) and Insect and Arachnid Ecology and Behavior (36 papers). Gregory A. Sword is often cited by papers focused on Plant and animal studies (44 papers), Insect-Plant Interactions and Control (36 papers) and Insect and Arachnid Ecology and Behavior (36 papers). Gregory A. Sword collaborates with scholars based in United States, Australia and China. Gregory A. Sword's co-authors include Stephen J. Simpson, Marie‐Pierre Chapuis, Patrick D. Lorch, Iain D. Couzin, Nathan Lo, G. Pampapathy, P. A. McGee, Camille Buhl, Fleur Ponton and David H. Branson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gregory A. Sword

138 papers receiving 5.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory A. Sword United States 39 2.3k 2.2k 1.7k 1.3k 1.2k 141 5.4k
Christopher W. Wheat Sweden 35 1.8k 0.8× 960 0.4× 2.1k 1.3× 627 0.5× 1.3k 1.1× 98 4.5k
Spencer T. Behmer United States 36 2.1k 0.9× 2.4k 1.1× 1.1k 0.7× 1.1k 0.8× 637 0.5× 91 4.5k
Patricia Gibert France 37 2.6k 1.1× 2.1k 0.9× 2.3k 1.4× 842 0.7× 523 0.4× 90 6.0k
Mohamed A. F. Noor United States 44 2.9k 1.3× 1.1k 0.5× 5.1k 3.0× 1.5k 1.2× 1.9k 1.6× 128 7.0k
Stewart H. Berlocher United States 29 2.9k 1.3× 2.3k 1.1× 2.7k 1.6× 670 0.5× 762 0.6× 63 5.8k
James H. Marden United States 41 2.4k 1.0× 890 0.4× 1.7k 1.0× 502 0.4× 893 0.8× 90 5.3k
Donаld L. J. Quicke United Kingdom 48 5.7k 2.5× 3.7k 1.7× 2.4k 1.4× 712 0.5× 783 0.7× 317 7.8k
J. Spencer Johnston United States 39 2.2k 1.0× 1.9k 0.9× 2.6k 1.5× 2.0k 1.6× 1.9k 1.6× 126 5.5k
Shuji Shigenobu Japan 43 1.2k 0.5× 2.3k 1.0× 1.6k 1.0× 2.1k 1.6× 2.5k 2.1× 203 6.6k
Peter Andolfatto United States 49 1.7k 0.7× 992 0.5× 5.4k 3.2× 1.8k 1.4× 3.2k 2.7× 91 7.9k

Countries citing papers authored by Gregory A. Sword

Since Specialization
Citations

This map shows the geographic impact of Gregory A. Sword'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 Gregory A. Sword with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory A. Sword more than expected).

Fields of papers citing papers by Gregory A. Sword

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory A. Sword. 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 Gregory A. Sword. The network helps show where Gregory A. Sword may publish in the future.

Co-authorship network of co-authors of Gregory A. Sword

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory A. Sword. A scholar is included among the top collaborators of Gregory A. Sword 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 Gregory A. Sword. Gregory A. Sword is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Simpson, Stephen J., et al.. (2024). Anisotropic interaction and motion states of locusts in a hopper band. Proceedings of the Royal Society B Biological Sciences. 291(2015). 20232121–20232121. 3 indexed citations
2.
North, Henry L., Zhen Fu, Richard P. Metz, et al.. (2024). Rapid Adaptation and Interspecific Introgression in the North American Crop Pest Helicoverpa zea. Molecular Biology and Evolution. 41(7). 7 indexed citations
3.
Perkin, Lindsey, et al.. (2023). A New qPCR Assay for the Rapid Diagnosis of Anthonomus grandis Subspecies. Insects. 14(11). 845–845. 1 indexed citations
4.
Perkin, Lindsey, et al.. (2023). Amplicon Sequencing of Plant Material Links Cotton Fleahopper to Host Plants. ˜The œjournal of cotton science/Journal of cotton science. 27(1). 43–51. 2 indexed citations
5.
6.
Sword, Gregory A., et al.. (2022). Patterns of genomic and allochronic strain divergence in the fall armyworm, Spodoptera frugiperda (J.E. Smith). Ecology and Evolution. 12(3). e8706–e8706. 13 indexed citations
7.
Jones, Robert W., et al.. (2022). Potential Distribution of Wild Host Plants of the Boll Weevil (Anthonomus grandis) in the United States and Mexico. Insects. 13(4). 337–337. 9 indexed citations
8.
Dickens, C. Michael, Lindsey Perkin, Charles P.‐C. Suh, et al.. (2021). Population genomics and phylogeography of the boll weevil,Anthonomus grandisBoheman (Coleoptera: Curculionidae), in the United States, northern Mexico, and Argentina. Evolutionary Applications. 14(7). 1778–1793. 10 indexed citations
9.
Wan, Guijun, et al.. (2020). Geomagnetic field absence reduces adult body weight of a migratory insect by disrupting feeding behavior and appetite regulation. Insect Science. 28(1). 251–260. 11 indexed citations
10.
11.
Gowda, Anilkumar, John T. Greenplate, Jeffrey Gore, et al.. (2018). First transgenic trait for control of plant bugs and thrips in cotton. Pest Management Science. 75(3). 867–877. 38 indexed citations
12.
Guttal, Vishwesha, Paweł Romańczuk, Stephen J. Simpson, Gregory A. Sword, & Iain D. Couzin. (2012). Cannibalism can drive the evolution of behavioural phase polyphenism in locusts. Ecology Letters. 15(10). 1158–1166. 63 indexed citations
13.
Ma, Chuan, Pengcheng Yang, Feng Jiang, et al.. (2012). Mitochondrial genomes reveal the global phylogeography and dispersal routes of the migratory locust. Molecular Ecology. 21(17). 4344–4358. 176 indexed citations
14.
Simpson, Stephen J., Gregory A. Sword, & Nathan Lo. (2012). Polyphenism in Insects. Current Biology. 22(4). 352–352. 4 indexed citations
15.
Bazazi, Sepideh, Paweł Romańczuk, Siân Thomas, et al.. (2010). Nutritional state and collective motion: from individuals to mass migration. Proceedings of the Royal Society B Biological Sciences. 278(1704). 356–363. 88 indexed citations
16.
Sword, Gregory A., Michel Lecoq, & Stephen J. Simpson. (2010). Phase polyphenism and preventative locust management. Journal of Insect Physiology. 56(8). 949–957. 82 indexed citations
17.
Bazazi, Sepideh, et al.. (2008). Collective Motion and Cannibalism in Locust Migratory Bands. Current Biology. 18(10). 735–739. 207 indexed citations
18.
Sword, Gregory A. & Stephen J. Simpson. (2008). Evolution: Radiotracking Sexual Selection. Current Biology. 18(20). R955–R956. 1 indexed citations
19.
Simpson, Stephen J., Gregory A. Sword, Patrick D. Lorch, & Iain D. Couzin. (2006). Cannibal crickets on a forced march for protein and salt. Proceedings of the National Academy of Sciences. 103(11). 4152–4156. 243 indexed citations
20.
Lovejoy, Nathan R., Sean P. Mullen, Gregory A. Sword, R. F. Chapman, & R. G. Harrison. (2005). Ancient trans-Atlantic flight explains locust biogeography: molecular phylogenetics of Schistocerca. Proceedings of the Royal Society B Biological Sciences. 273(1588). 767–774. 54 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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