Keith A. Charlton

415 total citations
17 papers, 342 citations indexed

About

Keith A. Charlton is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Keith A. Charlton has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Keith A. Charlton's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Pancreatic function and diabetes (5 papers) and Liver physiology and pathology (4 papers). Keith A. Charlton is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Pancreatic function and diabetes (5 papers) and Liver physiology and pathology (4 papers). Keith A. Charlton collaborates with scholars based in United Kingdom, Netherlands and India. Keith A. Charlton's co-authors include A.J. Porter, William J. Harris, Davinder Gill, Caroline J. Barelle, Matthew C. Wright, Sarah Moyle, Karen Wallace, Ian D. Broadbent, David C. Cullen and Lucy J. Elrick and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Keith A. Charlton

17 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith A. Charlton United Kingdom	11	213	160	62	50	47	17	342
Natalie De Jonge Belgium	12	296 1.4×	97 0.6×	31 0.5×	89 1.8×	9 0.2×	17	459
Heino Büntemeyer Germany	14	385 1.8×	63 0.4×	47 0.8×	8 0.2×	66 1.4×	32	508
Dao-Pei Huang United States	13	237 1.1×	21 0.1×	56 0.9×	26 0.5×	21 0.4×	20	432
Yasunori Kurosawa Japan	12	279 1.3×	44 0.3×	11 0.2×	27 0.5×	12 0.3×	29	442
Dieter Vanderschaeghe Belgium	14	422 2.0×	99 0.6×	79 1.3×	10 0.2×	60 1.3×	21	739
Sohail A. Qureshi Pakistan	14	525 2.5×	16 0.1×	53 0.9×	80 1.6×	28 0.6×	25	668
Lorenzo Benatuil United States	7	248 1.2×	177 1.1×	3 0.0×	13 0.3×	31 0.7×	12	402
Abdul Qader Abbady Syria	12	397 1.9×	126 0.8×	6 0.1×	23 0.5×	23 0.5×	35	538
Alireza Zakeri Iran	9	224 1.1×	72 0.5×	5 0.1×	15 0.3×	6 0.1×	24	403

Countries citing papers authored by Keith A. Charlton

Since Specialization

Citations

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

Fields of papers citing papers by Keith A. Charlton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith A. Charlton. 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 Keith A. Charlton. The network helps show where Keith A. Charlton may publish in the future.

Co-authorship network of co-authors of Keith A. Charlton

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Qaraghuli, Mohammed M. Al, et al.. (2015). Defining the complementarities between antibodies and haptens to refine our understanding and aid the prediction of a successful binding interaction. BMC Biotechnology. 15(1). 99–99. 18 indexed citations

Charles, Michelle, Karen Wallace, Claire Schwab, et al.. (2013). The B-13 hepatocyte progenitor cell resists pluripotency induction and differentiation to non-hepatocyte cells. Toxicology Research. 2(5). 308–308. 11 indexed citations

Rioja, Cristina, Saskia C. M. Van Wees, Keith A. Charlton, et al.. (2013). Wide Screening of Phage-Displayed Libraries Identifies Immune Targets in Planta. PLoS ONE. 8(1). e54654–e54654. 11 indexed citations

Broadbent, Ian D., et al.. (2013). High-Sensitivity Monoclonal Antibodies Specific for Homoserine Lactones Protect Mice from Lethal Pseudomonas aeruginosa Infections. Applied and Environmental Microbiology. 80(2). 462–469. 29 indexed citations

Wallace, Karen, Steven A. White, Guo Huang, et al.. (2012). Adult human exocrine pancreas differentiation to hepatocytes – potential source of a human hepatocyte progenitor for use in toxicology research. Toxicology Research. 2(1). 80–87. 10 indexed citations

Wallace, Karen, et al.. (2011). Serine/threonine protein kinase SGK1 in glucocorticoid-dependent transdifferentiation of pancreatic acinar cells to hepatocytes. Journal of Cell Science. 124(3). 405–413. 16 indexed citations

Sathe, Manisha, Anne Bodlenner, Keith A. Charlton, et al.. (2011). Synthesis and characterisation of immunogens for the production of antibodies against small hydrophobic molecules with biosignature properties. Analytica Chimica Acta. 708(1-2). 97–106. 7 indexed citations

Quan, Long, et al.. (2011). Serine/threonine protein kinase SGK1 in glucocorticoid-dependent transdifferentiation of pancreatic acinar cells to hepatocytes. Journal of Cell Science. 124(9). 1602–1602. 2 indexed citations

Wallace, Karen, et al.. (2010). AR42J-B-13 cell: An expandable progenitor to generate an unlimited supply of functional hepatocytes. Toxicology. 278(3). 277–287. 24 indexed citations

10.

Barelle, Caroline J., Davinder Gill, & Keith A. Charlton. (2009). Shark Novel Antigen Receptors—The Next Generation of Biologic Therapeutics?. Advances in experimental medicine and biology. 655. 49–62. 47 indexed citations

11.

Elrick, Lucy J., Morgan G. Blaylock, Linda Duncan, et al.. (2005). Generation of a monoclonal human single chain antibody fragment to hepatic stellate cells – a potential mechanism for targeting liver anti-fibrotic therapeutics. Journal of Hepatology. 42(6). 888–896. 24 indexed citations

12.

Elrick, Lucy J., et al.. (2004). Identification of a truncated ratp28-related protein expressed in kidney. Biochemical and Biophysical Research Communications. 316(3). 872–877. 8 indexed citations

13.

Charlton, Keith A.. (2004). Expression and Isolation of Recombinant Antibody Fragments in E. coli. Humana Press eBooks. 248. 245–254. 8 indexed citations

14.

Charlton, Keith A. & A.J. Porter. (2003). Isolation of Anti-Hapten Specific Antibody Fragments from Combinatorial Libraries. Humana Press eBooks. 178. 159–171. 6 indexed citations

15.

Strachan, Gillian, et al.. (2003). Antibody Based Technique for Offshore Scale Inhibitor Detection. All Days. 2 indexed citations

16.

Charlton, Keith A., William J. Harris, & A.J. Porter. (2001). The isolation of super-sensitive anti-hapten antibodies from combinatorial antibody libraries derived from sheep. Biosensors and Bioelectronics. 16(9-12). 639–646. 68 indexed citations

17.

Charlton, Keith A., Sarah Moyle, A.J. Porter, & William J. Harris. (2000). Analysis of the Diversity of a Sheep Antibody Repertoire as Revealed from a Bacteriophage Display Library. The Journal of Immunology. 164(12). 6221–6229. 51 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