William Kelton

1.0k total citations
23 papers, 555 citations indexed

About

William Kelton is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, William Kelton has authored 23 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology. Recurrent topics in William Kelton's work include Monoclonal and Polyclonal Antibodies Research (10 papers), CAR-T cell therapy research (5 papers) and CRISPR and Genetic Engineering (5 papers). William Kelton is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), CAR-T cell therapy research (5 papers) and CRISPR and Genetic Engineering (5 papers). William Kelton collaborates with scholars based in New Zealand, Switzerland and United States. William Kelton's co-authors include George Georgiou, Sai T. Reddy, Tae Hyun Kang, Sang Taek Jung, Cédric R. Weber, Wissam Charab, Mark Pogson, Roy A. Ehling, Theresa Pesch and Inger Sandlie and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

William Kelton

21 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Kelton New Zealand 13 346 254 170 132 72 23 555
Cory L. Brooks United States 17 467 1.3× 263 1.0× 206 1.2× 87 0.7× 22 0.3× 44 691
Yoonjoo Choi South Korea 17 565 1.6× 331 1.3× 188 1.1× 59 0.4× 47 0.7× 45 742
Matías Gutiérrez-González United States 9 244 0.7× 124 0.5× 114 0.7× 54 0.4× 59 0.8× 20 459
D. Lutje Hulsik Netherlands 14 351 1.0× 232 0.9× 204 1.2× 35 0.3× 61 0.8× 21 620
T. Noelle Lombana United States 10 259 0.7× 164 0.6× 104 0.6× 96 0.7× 112 1.6× 13 435
Lisa D. Taylor United States 10 394 1.1× 367 1.4× 225 1.3× 95 0.7× 19 0.3× 15 599
Edward Dolk Netherlands 10 250 0.7× 168 0.7× 80 0.5× 35 0.3× 89 1.2× 15 431
Alec A. Desai United States 11 342 1.0× 327 1.3× 85 0.5× 54 0.4× 110 1.5× 24 567
Matthew I. J. Raybould United Kingdom 14 655 1.9× 618 2.4× 249 1.5× 53 0.4× 163 2.3× 23 874
Maria Elena Villani Italy 15 445 1.3× 266 1.0× 164 1.0× 110 0.8× 31 0.4× 25 747

Countries citing papers authored by William Kelton

Since Specialization
Citations

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

Fields of papers citing papers by William Kelton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Kelton

This figure shows the co-authorship network connecting the top 25 collaborators of William Kelton. A scholar is included among the top collaborators of William Kelton 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 William Kelton. William Kelton 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.
Gill, Brendon D., Harvey E. Indyk, Jackie E Wood, et al.. (2024). Analysis of Bovine Lactoferrin in Infant Formula and Adult Nutritional Products by Optical Biosensor Immunoassay: Collaborative Study, Final Action 2021.07. Journal of AOAC International. 107(5). 833–838.
2.
Jacobson, Gregory M., et al.. (2023). Immunogenic fusion proteins induce neutralizing SARS-CoV-2 antibodies in the serum and milk of sheep. Biotechnology Reports. 38. e00791–e00791. 2 indexed citations
3.
Kelton, William, et al.. (2023). Mechanisms of host manipulation by Neisseria gonorrhoeae. Frontiers in Microbiology. 14. 1119834–1119834. 17 indexed citations
4.
Ameratunga, Rohan, Euphemia Leung, Russell G. Snell, et al.. (2023). Soluble wild-type ACE2 molecules inhibit newer SARS-CoV-2 variants and are a potential antiviral strategy to mitigate disease severity in COVID-19. Clinical & Experimental Immunology. 214(3). 289–295. 3 indexed citations
5.
Pudney, Christopher R., et al.. (2023). Constant domain polymorphisms influence monoclonal antibody stability and dynamics. Protein Science. 32(3). e4589–e4589. 4 indexed citations
6.
Taft, Joseph M., Cédric R. Weber, Roy A. Ehling, et al.. (2022). Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain. Cell. 185(21). 4008–4022.e14. 65 indexed citations
8.
Kelton, William, et al.. (2021). Deep mutational scanning for therapeutic antibody engineering. Trends in Pharmacological Sciences. 43(2). 123–135. 28 indexed citations
9.
Taft, Joseph M., Cédric R. Weber, Roy A. Ehling, et al.. (2021). Predictive Profiling of SARS-CoV-2 Variants by Deep Mutational Learning. SSRN Electronic Journal. 3 indexed citations
10.
Kelton, William, et al.. (2020). Beyond Allotypes: The Influence of Allelic Diversity in Antibody Constant Domains. Frontiers in Immunology. 11. 2016–2016. 12 indexed citations
11.
Pesch, Theresa, Lucia Bonati, William Kelton, et al.. (2019). Molecular Design, Optimization, and Genomic Integration of Chimeric B Cell Receptors in Murine B Cells. Frontiers in Immunology. 10. 2630–2630. 24 indexed citations
12.
Mason, Derek M., Cédric R. Weber, Simon M. Meng, et al.. (2018). High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis. Nucleic Acids Research. 46(14). 7436–7449. 50 indexed citations
13.
Kelton, William, et al.. (2017). Reprogramming MHC specificity by CRISPR-Cas9-assisted cassette exchange. Scientific Reports. 7(1). 45775–45775. 15 indexed citations
14.
Pogson, Mark, et al.. (2016). Immunogenomic engineering of a plug-and-(dis)play hybridoma platform. Nature Communications. 7(1). 12535–12535. 37 indexed citations
15.
Kelton, William, Theresa Pesch, Stefan Matile, & Sai T. Reddy. (2016). Surveying the Delivery Methods of CRISPR/Cas9 for ex vivo Mammalian Cell Engineering. CHIMIA International Journal for Chemistry. 70(6). 439–439. 10 indexed citations
16.
Kelton, William, Wissam Charab, Jiwon Lee, et al.. (2014). IgGA: A “Cross-Isotype” Engineered Human Fc Antibody Domain that Displays Both IgG-like and IgA-like Effector Functions. Chemistry & Biology. 21(12). 1603–1609. 55 indexed citations
17.
Jung, Sang Taek, William Kelton, Tae Hyun Kang, et al.. (2012). Effective Phagocytosis of Low Her2 Tumor Cell Lines with Engineered, Aglycosylated IgG Displaying High FcγRIIa Affinity and Selectivity. ACS Chemical Biology. 8(2). 368–375. 59 indexed citations
18.
Senyukov, Vladimir, et al.. (2012). Engineering Anti-AML Antibodies for Improved NK Cell ADCC. Blood. 120(21). 3629–3629. 2 indexed citations
19.
Jung, Sang Taek, Tae Hyun Kang, William Kelton, & George Georgiou. (2011). Bypassing glycosylation: engineering aglycosylated full-length IgG antibodies for human therapy. Current Opinion in Biotechnology. 22(6). 858–867. 75 indexed citations
20.
Kelton, William. (2008). A scalable method for the production of pH responsive polyamide microcapsules for drug delivery. University of Canterbury Research Repository (University of Canterbury). 1 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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