Charles E. Cook

5.0k total citations · 2 hit papers
88 papers, 3.2k citations indexed

About

Charles E. Cook is a scholar working on Molecular Biology, Genetics and Aerospace Engineering. According to data from OpenAlex, Charles E. Cook has authored 88 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Genetics and 11 papers in Aerospace Engineering. Recurrent topics in Charles E. Cook's work include Insect and Arachnid Ecology and Behavior (12 papers), Insect-Plant Interactions and Control (6 papers) and Genomics and Phylogenetic Studies (6 papers). Charles E. Cook is often cited by papers focused on Insect and Arachnid Ecology and Behavior (12 papers), Insect-Plant Interactions and Control (6 papers) and Genomics and Phylogenetic Studies (6 papers). Charles E. Cook collaborates with scholars based in United States, United Kingdom and Taiwan. Charles E. Cook's co-authors include Marvin Bernfeld, Michael Akam, D. L. Schilling, F. Ellersick, L. B. Milstein, Tatiana Andreeva, Qiaoyun Yue, Jennifer K. Grenier, Sean B. Carroll and Guillaume Balavoine and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Charles E. Cook

83 papers receiving 2.9k citations

Hit Papers

Radar Signals: An Introduction to Theory and Application 1967 2026 1986 2006 1967 1983 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles E. Cook United States 24 970 753 527 492 486 88 3.2k
D. Rees United Kingdom 52 1.6k 1.6× 904 1.2× 2.5k 4.8× 214 0.4× 710 1.5× 378 11.2k
Roderick V. Jensen United States 42 2.0k 2.1× 503 0.7× 322 0.6× 232 0.5× 192 0.4× 120 8.1k
Lee A. Segel Israel 44 4.4k 4.5× 179 0.2× 1.5k 2.8× 1.4k 2.9× 145 0.3× 142 11.8k
Robert E. O’Malley United States 28 157 0.2× 254 0.3× 295 0.6× 85 0.2× 241 0.5× 93 4.7k
Jeff Bezanson United States 5 296 0.3× 431 0.6× 227 0.4× 168 0.3× 128 0.3× 6 3.5k
Stefan Karpinski United States 7 299 0.3× 435 0.6× 232 0.4× 167 0.3× 128 0.3× 10 3.6k
Ronald L. Phillips United States 36 1.4k 1.4× 4.3k 5.8× 106 0.2× 919 1.9× 1.4k 2.9× 132 8.5k
Edward A. Bender United States 25 286 0.3× 255 0.3× 293 0.6× 192 0.4× 36 0.1× 126 4.8k
Gregory D. Peterson United States 21 719 0.7× 532 0.7× 549 1.0× 109 0.2× 89 0.2× 104 4.0k
D.S. Broomhead United Kingdom 25 1.0k 1.0× 97 0.1× 480 0.9× 156 0.3× 75 0.2× 60 4.1k

Countries citing papers authored by Charles E. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Cook. 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 Charles E. Cook. The network helps show where Charles E. Cook may publish in the future.

Co-authorship network of co-authors of Charles E. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Charles E. Cook. A scholar is included among the top collaborators of Charles E. Cook 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 Charles E. Cook. Charles E. Cook 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.
Imker, H.J., et al.. (2023). A machine learning-enabled open biodata resource inventory from the scientific literature. PLoS ONE. 18(11). e0294812–e0294812. 1 indexed citations
2.
Cook, Charles E. & Guy Cochrane. (2023). The Global Biodata Coalition: Towards a sustainable biodata infrastructure. Biodiversity Information Science and Standards. 7. 3 indexed citations
3.
Cook, Charles E., et al.. (2019). The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences. Nucleic Acids Research. 48(D1). D17–D23. 23 indexed citations
4.
Cook, Charles E., Rodrigo López, Guy Cochrane, et al.. (2018). The European Bioinformatics Institute in 2018: tools, infrastructure and training. Nucleic Acids Research. 47(D1). D15–D22. 25 indexed citations
5.
Tarkowska, Aleksandra, Denise Carvalho‐Silva, Charles E. Cook, et al.. (2018). Eleven quick tips to build a usable REST API for life sciences. PLoS Computational Biology. 14(12). e1006542–e1006542. 17 indexed citations
6.
Cook, Charles E., et al.. (2017). The European Bioinformatics Institute in 2017: data coordination and integration. Nucleic Acids Research. 46(D1). D21–D29. 37 indexed citations
7.
Cook, Charles E., Janet Chênevert, Tomas Larsson, et al.. (2016). Old knowledge and new technologies allow rapid development of model organisms. Molecular Biology of the Cell. 27(6). 882–887. 10 indexed citations
8.
Lin, Gee‐Way, Charles E. Cook, Toru Miura, & Chun‐che Chang. (2014). Posterior localization of ApVas1 positions the preformed germ plasm in the sexual oviparous pea aphid Acyrthosiphon pisum. EvoDevo. 5(1). 18–18. 18 indexed citations
10.
Chang, Chun‐che, et al.. (2009). Developmental expression of Apnanos during oogenesis and embryogenesis in the parthenogenetic pea aphid Acyrthosiphon pisum. The International Journal of Developmental Biology. 53(1). 169–176. 14 indexed citations
11.
Cook, Charles E., et al.. (2008). ParaHox gene expression in larval and postlarval development of the polychaete Nereis virens(Annelida, Lophotrochozoa). BMC Developmental Biology. 8(1). 61–61. 37 indexed citations
12.
Chang, Chun‐che, et al.. (2007). Apvasa marks germ-cell migration in the parthenogenetic pea aphid Acyrthosiphon pisum (Hemiptera: Aphidoidea). Development Genes and Evolution. 217(4). 275–287. 30 indexed citations
13.
Cook, Charles E., Patrick R. H. Steinmetz, Roman P. Kostyuchenko, et al.. (2006). Hox gene expression in larval development of the polychaetes Nereis virens and Platynereis dumerilii (Annelida, Lophotrochozoa). Development Genes and Evolution. 217(1). 39–54. 98 indexed citations
14.
Cook, Charles E.. (2005). The complete mitochondrial genome of the stomatopod crustacean Squilla mantis. BMC Genomics. 6(1). 105–105. 59 indexed citations
15.
Chang, Chun‐che & Charles E. Cook. (2002). Trends in genomic 'evo-devo'.. Genome Biology. 3(7). reports4019.1–reports4019.1. 2 indexed citations
16.
Cook, Charles E., et al.. (2001). Hox genes and the phylogeny of the arthropods. Current Biology. 11(10). 759–763. 132 indexed citations
17.
Cook, Charles E., Ying Wang, & George F. Sensabaugh. (1999). A Mitochondrial Control Region and CytochromebPhylogeny of Sika Deer (Cervus nippon) and Report of Tandem Repeats in the Control Region. Molecular Phylogenetics and Evolution. 12(1). 47–56. 58 indexed citations
18.
Rosa, Renaud de, Jennifer K. Grenier, Tatiana Andreeva, et al.. (1999). Hox genes in brachiopods and priapulids and protostome evolution. Nature. 399(6738). 772–776. 407 indexed citations
19.
Cook, Charles E.. (1993). Mitochondrial tRNAThrand tRNAProsequences from three deer species:Odocoileus hemionus, Cervus elaphus, andCensus nippon. Nucleic Acids Research. 21(14). 3324–3324. 1 indexed citations
20.
Ellersick, F., D. L. Schilling, Charles E. Cook, & L. B. Milstein. (1983). Spread-Spectrum Communications. 1711–1719. 489 indexed citations breakdown →

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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