David J. King

1.1k total citations
32 papers, 594 citations indexed

About

David J. King is a scholar working on Molecular Biology, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David J. King has authored 32 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Agronomy and Crop Science and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David J. King's work include Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (6 papers) and Vector-Borne Animal Diseases (5 papers). David J. King is often cited by papers focused on Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (6 papers) and Vector-Borne Animal Diseases (5 papers). David J. King collaborates with scholars based in United Kingdom, United States and Russia. David J. King's co-authors include David G. Gorenstein, Donald P. King, Allan R. Brasier, A. G. Wiseman, Graham Freimanis, Jiri Safar, Giuseppe Legname, Stanley B. Prusiner, Nick J. Knowles and Norbert K. Herzog and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biochemistry.

In The Last Decade

David J. King

32 papers receiving 564 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 J. King United Kingdom 15 347 123 113 97 43 32 594
Eduardo López‐Viñas Spain 17 487 1.4× 58 0.5× 39 0.3× 43 0.4× 64 1.5× 25 699
Jane A. Fagerland United States 14 170 0.5× 29 0.2× 47 0.4× 30 0.3× 154 3.6× 31 617
Elliott Bedows United States 19 612 1.8× 60 0.5× 18 0.2× 8 0.1× 30 0.7× 48 1.0k
Justin Smith United States 14 738 2.1× 32 0.3× 38 0.3× 23 0.2× 25 0.6× 21 832
Dominika Chalupská Czechia 18 700 2.0× 21 0.2× 117 1.0× 23 0.2× 252 5.9× 35 1.2k
J. Hay Canada 17 211 0.6× 16 0.1× 18 0.2× 16 0.2× 28 0.7× 34 607
B. H. Nicholson United Kingdom 8 218 0.6× 116 0.9× 116 1.0× 34 0.4× 14 0.3× 18 334
Jan Schultz Switzerland 15 290 0.8× 9 0.1× 42 0.4× 24 0.2× 53 1.2× 19 677
Xiaokai Li China 11 332 1.0× 18 0.1× 27 0.2× 17 0.2× 136 3.2× 32 639

Countries citing papers authored by David J. King

Since Specialization
Citations

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

Fields of papers citing papers by David J. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David J. King. A scholar is included among the top collaborators of David J. 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 J. King. David J. 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.
King, David J., Graham Freimanis, Andrew E. Shaw, et al.. (2022). Establishing an In Vitro System to Assess How Specific Antibodies Drive the Evolution of Foot-and-Mouth Disease Virus. Viruses. 14(8). 1820–1820. 3 indexed citations
2.
Waters, Ryan, Anna B. Ludi, Veronica L. Fowler, et al.. (2018). Efficacy of a high-potency multivalent foot-and-mouth disease virus vaccine in cattle against heterologous challenge with a field virus from the emerging A/ASIA/G-VII lineage. Vaccine. 36(14). 1901–1907. 23 indexed citations
3.
King, David J., Graham Freimanis, Richard Orton, et al.. (2016). Investigating intra-host and intra-herd sequence diversity of foot-and-mouth disease virus. Infection Genetics and Evolution. 44. 286–292. 14 indexed citations
4.
Freimanis, Graham, Antonello Di Nardo, David J. King, et al.. (2016). Genomics and outbreaks: foot and mouth disease. Revue Scientifique et Technique de l OIE. 35(1). 175–189. 23 indexed citations
5.
Orton, Richard, Caroline F. Wright, Marco J. Morelli, et al.. (2015). Distinguishing low frequency mutations from RT-PCR and sequence errors in viral deep sequencing data. BMC Genomics. 16(1). 229–229. 42 indexed citations
6.
7.
King, David J., Jiri Safar, Giuseppe Legname, & Stanley B. Prusiner. (2007). Thioaptamer Interactions with Prion Proteins: Sequence-specific and Non-specific Binding Sites. Journal of Molecular Biology. 369(4). 1001–1014. 42 indexed citations
8.
King, David J., et al.. (2007). Multiple-element crosseye. IET Radar Sonar & Navigation. 1(1). 67–73. 26 indexed citations
9.
Safar, Jiri, Holger Wille, Michael D. Geschwind, et al.. (2006). Human prions and plasma lipoproteins. Proceedings of the National Academy of Sciences. 103(30). 11312–11317. 34 indexed citations
10.
King, David J.. (2005). Separate but Equal: The Introduction and Integration of Policewomen in the Bermuda Police 1961–2002. Police Practice and Research. 6(3). 215–233. 4 indexed citations
11.
Bassett, Suzanne E., Susan M. Fennewald, David J. King, et al.. (2004). Combinatorial Selection and Edited Combinatorial Selection of Phosphorothioate Aptamers Targeting Human Nuclear Factor-κB RelA/p50 and RelA/RelA. Biochemistry. 43(28). 9105–9115. 24 indexed citations
12.
Volk, David E., Xianbin Yang, Susan M. Fennewald, et al.. (2002). Solution structure and design of dithiophosphate backbone aptamers targeting transcription factor NF-κB. Bioorganic Chemistry. 30(6). 396–419. 23 indexed citations
13.
Peterson, Johnny W., David J. King, Edward L. Ezell, et al.. (2001). Cholera toxin-induced PGE2 activity is reduced by chemical reaction with l-histidine. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1537(1). 27–41. 10 indexed citations
14.
15.
King, David J., et al.. (1985). Effect of alcohols and of glucose on the level of cytochrome P-450 in Saccharomyces cerevisiae after resuspension in buffer. Biochemical Society Transactions. 13(5). 924–924. 3 indexed citations
16.
King, David J., A. G. Wiseman, Diane Kelly, & Steven L. Kelly. (1985). Differences in the cytochrome P-450 enzymes of sterol C-14 demethylase mutants of Saccharomyces cerevisiae. Current Genetics. 10(4). 261–267. 13 indexed citations
17.
Kelly, Steven L., Diane Kelly, David J. King, & A. G. Wiseman. (1985). Interaction between yeast cytochrome P-450 and chemical carcinogens. Carcinogenesis. 6(9). 1321–1325. 17 indexed citations
18.
King, David J., Alan Wiseman, & David Wilkie. (1983). Production of cytochrome P-450 in Saccharomyces cerevisiae is controlled by a nuclear regulatory gene. Biochemical Society Transactions. 11(6). 711–711. 1 indexed citations
19.
King, David J., et al.. (1982). The excitatory actions of a series of piperidine dicarboxylates on central neurons of the rat, snail, leech and horseshoe crab and on crab neuromuscular junction. Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 73(1). 71–77. 4 indexed citations
20.
King, David J., et al.. (1972). Microestimation of tryptophan in plasma by a fluorometric procedure. Biochemical Medicine. 6(6). 504–507. 7 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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