David King

3.1k total citations
35 papers, 1.8k citations indexed

About

David King is a scholar working on Molecular Biology, Environmental Engineering and Genetics. According to data from OpenAlex, David King has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Environmental Engineering and 3 papers in Genetics. Recurrent topics in David King's work include Genomics and Chromatin Dynamics (9 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). David King is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). David King collaborates with scholars based in United States, United Kingdom and Switzerland. David King's co-authors include Ross C. Hardison, Francesca Chiaromonte, Webb Miller, James Taylor, Andrew J. King, Melody Redman, Onn Brandman, Joshua G. Dunn, Silvi Rouskin and Daisy Y.L. Wong and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David King

34 papers receiving 1.8k 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 King United States 19 1.2k 205 144 105 93 35 1.8k
Isamu Hayata Japan 30 843 0.7× 325 1.6× 58 0.4× 221 2.1× 146 1.6× 112 2.4k
Honglian Zhang China 26 1.3k 1.0× 90 0.4× 52 0.4× 69 0.7× 211 2.3× 86 2.2k
Ying Lin China 25 880 0.7× 372 1.8× 48 0.3× 40 0.4× 202 2.2× 119 2.1k
Jinfeng Zhou China 28 840 0.7× 122 0.6× 107 0.7× 104 1.0× 283 3.0× 120 2.0k
John Armstrong Canada 22 750 0.6× 360 1.8× 145 1.0× 55 0.5× 24 0.3× 106 1.6k
Charlotte Wang Taiwan 14 1.3k 1.0× 400 2.0× 132 0.9× 110 1.0× 178 1.9× 36 1.9k
Brian Dale Italy 35 1.3k 1.1× 439 2.1× 135 0.9× 202 1.9× 129 1.4× 127 4.2k
Zitong Li China 22 443 0.4× 403 2.0× 39 0.3× 289 2.8× 50 0.5× 81 1.4k
Tong Shen China 22 1.1k 0.9× 64 0.3× 140 1.0× 55 0.5× 160 1.7× 82 1.8k
Torsten Müller Germany 10 880 0.7× 83 0.4× 116 0.8× 53 0.5× 92 1.0× 16 1.5k

Countries citing papers authored by David King

Since Specialization
Citations

This map shows the geographic impact of David 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 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 King more than expected).

Fields of papers citing papers by David King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David King

This figure shows the co-authorship network connecting the top 25 collaborators of David King. A scholar is included among the top collaborators of David 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 King. David 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.
Bergren, Nicholas A., Brandy J. Russell, Justin S. Lee, et al.. (2021). Genomic characterization of 99 viruses from the bunyavirus families Nairoviridae, Peribunyaviridae, and Phenuiviridae, including 35 previously unsequenced viruses. PLoS Pathogens. 17(3). e1009315–e1009315. 25 indexed citations
3.
Gibaja, Veronica, Joshua M. Korn, David A. Ruddy, et al.. (2015). Development of secondary mutations in wild-type and mutant EZH2 alleles cooperates to confer resistance to EZH2 inhibitors. Oncogene. 35(5). 558–566. 107 indexed citations
4.
King, David, et al.. (2014). Evaluating Attitudes Toward Green Travel Modes in China. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
5.
Brandman, Onn, Jacob Stewart-Ornstein, Daisy Y.L. Wong, et al.. (2012). A Ribosome-Bound Quality Control Complex Triggers Degradation of Nascent Peptides and Signals Translation Stress. Cell. 151(5). 1042–1054. 485 indexed citations
6.
Zhang, Ying, Wei-Sheng Wu, Yong Cheng, et al.. (2009). Primary sequence and epigenetic determinants of in vivo occupancy of genomic DNA by GATA1. Nucleic Acids Research. 37(21). 7024–7038. 22 indexed citations
7.
Cheng, Yong, Wei-Sheng Wu, Swathi A. Kumar, et al.. (2009). Erythroid GATA1 function revealed by genome-wide analysis of transcription factor occupancy, histone modifications, and mRNA expression. Genome Research. 19(12). 2172–2184. 180 indexed citations
8.
King, David. (2009). PHYLOGENETIC CONSERVATION OF CIS-REGULATORY REGIONS USING SEQUENCE ALIGNABILITY AND CLADISTIC MOTIFS. 1 indexed citations
9.
Cheng, Yong, David King, Louis C. Doré, et al.. (2008). Transcriptional enhancement by GATA1-occupied DNA segments is strongly associated with evolutionary constraint on the binding site motif. Genome Research. 18(12). 1896–1905. 27 indexed citations
10.
King, David, James Taylor, Ying Zhang, et al.. (2007). Finding cis-regulatory elements using comparative genomics: Some lessons from ENCODE data. Genome Research. 17(6). 775–786. 53 indexed citations
11.
Wang, Hao, Ying Zhang, Yong Cheng, et al.. (2006). Experimental validation of predicted mammalian erythroid cis-regulatory modules. Genome Research. 16(12). 1480–1492. 47 indexed citations
12.
Taylor, James, Svitlana Tyekucheva, David King, et al.. (2006). ESPERR: Learning strong and weak signals in genomic sequence alignments to identify functional elements. Genome Research. 16(12). 1596–1604. 86 indexed citations
13.
King, David, et al.. (2006). A mathematical model for estimating the potential margin of state undecided voters for a candidate in a US Federal election. Mathematical and Computer Modelling. 45(5-6). 585–593. 14 indexed citations
14.
Elnitski, Laura, David King, & Ross C. Hardison. (2006). Computational Prediction of <i>cis</i>-Regulatory Modules from Multispecies Alignments Using Galaxy, Table Browser, and GALA. Humana Press eBooks. 338. 91–104. 3 indexed citations
15.
King, David, James Taylor, Laura Elnitski, et al.. (2005). Evaluation of regulatory potential and conservation scores for detecting cis -regulatory modules in aligned mammalian genome sequences. Genome Research. 15(8). 1051–1060. 158 indexed citations
16.
Putta, Srikrishna, Jeramiah J. Smith, John Walker, et al.. (2004). From biomedicine to natural history research: EST resources for ambystomatid salamanders. BMC Genomics. 5(1). 54–54. 76 indexed citations
17.
Cucchiara, Brett, Mark S. Forman, Michael L. McGarvey, Scott E. Kasner, & David King. (2003). Fatal Subacute Cytomegalovirus Encephalitis Associated With Hypogammaglobulinemia and Thymoma. Mayo Clinic Proceedings. 78(2). 223–227. 19 indexed citations
18.
Shah, Nigam H., David King, Prachi Shah, & Nina V. Fedoroff. (2003). A tool-kit for cDNA microarray and promoter analysis. Bioinformatics. 19(14). 1846–1848. 6 indexed citations
19.
King, David. (1999). The persistence of eugenics.. PubMed. No. 22. 6–8. 4 indexed citations
20.
King, David & Jack L. Walker. (1992). The Provision of Benefits by Interest Groups in the United States. The Journal of Politics. 54(2). 394–426. 49 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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