David G. King

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 Genomics and Phylogenetic Studies (8 papers), Evolution and Genetic Dynamics (8 papers) and Neurobiology and Insect Physiology Research (7 papers). David G. King is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Evolution and Genetic Dynamics (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, Allen I. Selverston, David F. Russell, 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David G. King United States 20 999 791 708 465 395 63 2.8k
John B. Gibson Australia 25 599 0.6× 347 0.4× 972 1.4× 292 0.6× 541 1.4× 111 2.5k
A. Glenn Richards United States 28 423 0.4× 616 0.8× 721 1.0× 330 0.7× 402 1.0× 76 2.5k
Guoguang Zhao China 25 2.5k 2.5× 219 0.3× 301 0.4× 461 1.0× 70 0.2× 172 5.1k
William J. Davis United States 39 461 0.5× 1.7k 2.2× 267 0.4× 315 0.7× 890 2.3× 108 4.0k
Nicolas Pollet France 27 2.1k 2.2× 128 0.2× 514 0.7× 344 0.7× 140 0.4× 82 3.2k
Ronald R. Cowden United States 24 821 0.8× 273 0.3× 239 0.3× 174 0.4× 258 0.7× 112 2.9k
Gregory R. Bock United Kingdom 31 472 0.5× 327 0.4× 100 0.1× 83 0.2× 173 0.4× 84 2.6k
Mariano Hernández Spain 28 665 0.7× 322 0.4× 827 1.2× 271 0.6× 355 0.9× 94 2.6k
Xiaolin Wang China 40 506 0.5× 83 0.1× 120 0.2× 210 0.5× 262 0.7× 142 5.4k
Michael I. Coates United States 42 1.2k 1.2× 61 0.1× 463 0.7× 211 0.5× 419 1.1× 111 5.4k

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

20 of 20 papers shown
1.
2.
King, David G.. (2024). Evolving a favorable distribution for mutation effects. Trends in Genetics. 40(10). 819–821. 2 indexed citations
3.
Goldman, Bruce, Frank C. Lin, Phong Thanh Nguyen, et al.. (2018). Evaluation of a rapid DNA process with the RapidHIT® ID system using a specialized cartridge for extracted and quantified human DNA. Forensic Science International Genetics. 34. 116–127. 31 indexed citations
4.
Salceda, Susana Alicia, Bruce Goldman, Frank C. Lin, et al.. (2017). Validation of a rapid DNA process with the RapidHIT ® ID system using GlobalFiler ® Express chemistry, a platform optimized for decentralized testing environments. Forensic Science International Genetics. 28. 21–34. 45 indexed citations
5.
King, David G.. (2009). Van Duyn v. Baker School District: A "Material" Improvement in Evaluating a School District's Failure to Implement Individualized Education Programs. 4(2). 457. 1 indexed citations
6.
Romanyukha, A., et al.. (2008). Effect of background radiation on the lower limit of detection for extended dosemeter issue periods. Radiation Protection Dosimetry. 131(2). 180–187. 10 indexed citations
7.
Fondon, John W., Elizabeth A. D. Hammock, Anthony J. Hannan, & David G. King. (2008). Simple sequence repeats: genetic modulators of brain function and behavior. Trends in Neurosciences. 31(7). 328–334. 96 indexed citations
8.
King, David G., et al.. (2004). Cyclone Awareness amongst Backpackers in Northern Australia. Australian Journal of Emergency Management. 19(2). 25. 4 indexed citations
9.
King, David G.. (2003). The Long and the Short of It: European against Australian Attitudes toward Short Films and Their Makers. Metro Magazine: Media & Education Magazine. 146. 1 indexed citations
10.
King, David G., et al.. (1999). Cyclone Surge and Community Preparedness. Australian Journal of Emergency Management. 13(4). 54. 2 indexed citations
11.
Krajewski, Carey, Matthew G. Fain, Larry Buckley, & David G. King. (1999). Dynamically Heterogenous Partitions and Phylogenetic Inference: An Evaluation of Analytical Strategies with Cytochrome b and ND6 Gene Sequences in Cranes. Molecular Phylogenetics and Evolution. 13(2). 302–313. 25 indexed citations
12.
King, David G.. (1999). Modeling Selection for Adjustable Genes Based on Simple Sequence Repeats. Annals of the New York Academy of Sciences. 870(1). 396–399. 3 indexed citations
13.
Berry, L.G. & David G. King. (1998). Tropical Cyclone Awareness and Education Issues for Far North Queensland School Students: Storm Watchers - a Cyclone Awareness Education Package for Upper Primary School Children. Australian Journal of Emergency Management. 13(3). 25. 2 indexed citations
14.
King, David G., et al.. (1997). Breaking through the Disbelief: The March 1997 Flood at Cloncurry 'Even the Duck Swam Away'. Australian Journal of Emergency Management. 12(4). 29. 2 indexed citations
15.
Kashi, Yechezkel, David G. King, & M. Soller. (1997). Simple sequence repeats as a source of quantitative genetic variation. Trends in Genetics. 13(2). 74–78. 367 indexed citations
16.
Krajewski, Carey & David G. King. (1996). Molecular divergence and phylogeny: rates and patterns of cytochrome b evolution in cranes. Molecular Biology and Evolution. 13(1). 21–30. 100 indexed citations
17.
King, David G.. (1994). Triple Repeat DNA as a Highly Mutable Regulatory Mechanism. Science. 263(5147). 595–596. 3 indexed citations
18.
19.
King, David G.. (1989). Phylogenetic diversity of cellular organization in the cardia of muscoid flies (diptera: Schizophora). Journal of Morphology. 202(3). 435–455. 6 indexed citations
20.
Traves, D. M., et al.. (1975). Economic geology of Australia and Papua New Guinea. 343 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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