Jonathan King

958 total citations
16 papers, 760 citations indexed

About

Jonathan King is a scholar working on Molecular Biology, Ecology and Materials Chemistry. According to data from OpenAlex, Jonathan King has authored 16 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Materials Chemistry. Recurrent topics in Jonathan King's work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jonathan King is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jonathan King collaborates with scholars based in United States. Jonathan King's co-authors include Melissa S. Kosinski‐Collins, Claire S. Ting, Russell Schwartz, David P. Goldenberg, Lila M. Gierasch, Sherwood Casjens, David Ryan Koes, Paul Francoeur, Jocelyn Sunseri and Lenore Cowen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biophysical Journal.

In The Last Decade

Jonathan King

16 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan King United States 10 641 168 106 80 68 16 760
Lester G. Carter United Kingdom 17 729 1.1× 150 0.9× 77 0.7× 123 1.5× 72 1.1× 24 965
Clifford R. Robinson United States 18 797 1.2× 175 1.0× 59 0.6× 88 1.1× 93 1.4× 19 941
Timothy J. Ragan United Kingdom 16 854 1.3× 70 0.4× 64 0.6× 120 1.5× 70 1.0× 26 1.1k
Kerstin Reiß Germany 15 450 0.7× 76 0.5× 55 0.5× 136 1.7× 68 1.0× 16 797
Benoît H. Dessailly United Kingdom 16 1.0k 1.6× 233 1.4× 46 0.4× 91 1.1× 80 1.2× 18 1.2k
Marco Ceruso United States 7 575 0.9× 86 0.5× 44 0.4× 44 0.6× 74 1.1× 7 697
Pedro Serrano United States 18 488 0.8× 159 0.9× 45 0.4× 50 0.6× 25 0.4× 47 947
Eugenia M. Clérico United States 14 915 1.4× 174 1.0× 62 0.6× 61 0.8× 180 2.6× 24 1.1k
Jon E. Black Netherlands 3 561 0.9× 166 1.0× 26 0.2× 43 0.5× 38 0.6× 4 709
Steven L. Kazmirski United States 17 852 1.3× 272 1.6× 39 0.4× 199 2.5× 116 1.7× 22 968

Countries citing papers authored by Jonathan King

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan King

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

All Works

16 of 16 papers shown
1.
King, Jonathan & David Ryan Koes. (2023). Interpreting forces as deep learning gradients improves quality of predicted protein structures. Biophysical Journal. 123(17). 2730–2739. 1 indexed citations
2.
King, Jonathan & David Ryan Koes. (2021). SidechainNet : An all‐atom protein structure dataset for machine learning. Proteins Structure Function and Bioinformatics. 89(11). 1489–1496. 13 indexed citations
3.
Sunseri, Jocelyn, Jonathan King, Paul Francoeur, & David Ryan Koes. (2018). Convolutional neural network scoring and minimization in the D3R 2017 community challenge. Journal of Computer-Aided Molecular Design. 33(1). 19–34. 34 indexed citations
4.
Xiao, Ran, et al.. (2018). Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach. PubMed. 99. 3717–3720. 3 indexed citations
5.
Menke, Matthew, et al.. (2004). Wrap-and-pack. 298–307. 3 indexed citations
6.
Kosinski‐Collins, Melissa S. & Jonathan King. (2003). In vitro unfolding, refolding, and polymerization of human γD crystallin, a protein involved in cataract formation. Protein Science. 12(3). 480–490. 147 indexed citations
7.
Cowen, Lenore, Phil Bradley, Matthew Menke, Jonathan King, & Bonnie Berger. (2002). Predicting the Beta-Helix Fold from Protein Sequence Data. Journal of Computational Biology. 9(2). 261–276. 32 indexed citations
8.
Schwartz, Russell, Claire S. Ting, & Jonathan King. (2001). Whole Proteome pI Values Correlate with Subcellular Localizations of Proteins for Organisms within the Three Domains of Life. Genome Research. 11(5). 703–709. 181 indexed citations
9.
Ting, Claire S., Jonathan King, Sallie W. Chisholm, & Gabrielle Rocap. (2001). Phycobiliprotein genes of the marine photosynthetic prokaryote Prochlorococcus: evidence for rapid evolution of genetic heterogeneity. Microbiology. 147(11). 3171–3182. 28 indexed citations
10.
Bradley, Phil, Lenore Cowen, Matthew Menke, Jonathan King, & Bonnie Berger. (2001). Predicting the β-helix fold from protein sequence data. 59–67. 7 indexed citations
11.
King, Jonathan. (1999). The scientific endeavor is based on vigilance, not trust. Science and Engineering Ethics. 5(2). 215–217. 3 indexed citations
12.
Speed, Margaret A., Jonathan King, & Daniel I. C. Wang. (1997). Polymerization mechanism of polypeptide chain aggregation. Biotechnology and Bioengineering. 54(4). 333–343. 2 indexed citations
13.
Casjens, Sherwood, et al.. (1994). Selective in vivo rescue by GroEL/ES of thermolabile folding intermediates to phage P22 structural proteins.. Journal of Biological Chemistry. 269(45). 27941–27951. 67 indexed citations
14.
Gierasch, Lila M. & Jonathan King. (1990). Protein Folding: Deciphering the Second Half of the Genetic Code. Medical Entomology and Zoology. 81 indexed citations
15.
King, Jonathan. (1989). Deciphering the Rules of Protein Folding. Chemical & Engineering News. 67(15). 32–54. 56 indexed citations
16.
Goldenberg, David P. & Jonathan King. (1982). Trimeric intermediate in the in vivo folding and subunit assembly of the tail spike endorhamnosidase of bacteriophage P22.. Proceedings of the National Academy of Sciences. 79(11). 3403–3407. 102 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026