David G. King

102 total papers · 3.9k total citations
63 papers, 2.8k citations indexed

About

David G. King is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, David G. King has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Genetics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in David G. King's work include Evolution and Genetic Dynamics (8 papers), Genomics and Phylogenetic Studies (8 papers) and Neurobiology and Insect Physiology Research (7 papers). David G. King is often cited by papers focused on Evolution and Genetic Dynamics (8 papers), Genomics and Phylogenetic Studies (8 papers) and Neurobiology and Insect Physiology Research (7 papers). David G. King collaborates with scholars based in United States, United Kingdom and Israel. David G. King's co-authors include Yechezkel Kashi, M. Soller, David F. Russell, Allen I. Selverston, J. Philip Miller, D. M. Traves, Hannah Evans, Robert J. Wyman, Carey Krajewski and Elizabeth A. D. Hammock and has published in prestigious journals such as Science, Trends in Ecology & Evolution and Nature Reviews Genetics.

In The Last Decade

David G. King

58 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David G. King 997 788 706 462 395 63 2.8k
John B. Gibson 599 0.6× 347 0.4× 972 1.4× 292 0.6× 541 1.4× 111 2.5k
A. Glenn Richards 424 0.4× 616 0.8× 722 1.0× 330 0.7× 402 1.0× 75 2.5k
Steven C. Chamberlain 591 0.6× 809 1.0× 110 0.2× 70 0.2× 331 0.8× 115 2.3k
Guoguang Zhao 2.5k 2.5× 216 0.3× 300 0.4× 459 1.0× 69 0.2× 167 5.1k
Robert D. Hall 306 0.3× 915 1.2× 269 0.4× 117 0.3× 207 0.5× 124 3.6k
David Sims 2.7k 2.7× 230 0.3× 838 1.2× 538 1.2× 233 0.6× 70 4.5k
Thomas G. Smith 793 0.8× 388 0.5× 659 0.9× 73 0.2× 1.8k 4.4× 123 5.0k
W.H. Burke 297 0.3× 201 0.3× 398 0.6× 103 0.2× 540 1.4× 106 4.2k
Ulrich Weller 1.5k 1.5× 463 0.6× 292 0.4× 611 1.3× 217 0.5× 73 4.8k
William J. Davis 460 0.5× 1.7k 2.2× 266 0.4× 314 0.7× 890 2.3× 108 4.0k

Countries citing papers authored by David G. King

Since Specialization
Citations

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

Fields of papers citing papers by David G. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. 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 David G. King. The network helps show where David G. King may publish in the future.

Co-authorship network of co-authors of David G. King

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

All Works

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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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