Carl Laxton

2.0k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Carl Laxton is a scholar working on Hepatology, Epidemiology and Immunology. According to data from OpenAlex, Carl Laxton has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 9 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Carl Laxton's work include Hepatitis C virus research (10 papers), Immune Response and Inflammation (5 papers) and Influenza Virus Research Studies (4 papers). Carl Laxton is often cited by papers focused on Hepatitis C virus research (10 papers), Immune Response and Inflammation (5 papers) and Influenza Virus Research Studies (4 papers). Carl Laxton collaborates with scholars based in United Kingdom, United States and Switzerland. Carl Laxton's co-authors include Mathias Müller, James Briscoe, Ian M. Kerr, George R. Stark, T Improta, Christian Schindler, James Darnell, Olli Silvennoinen, Andrew F. Wilks and Andrew Ziemiecki and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Carl Laxton

17 papers receiving 1.6k citations

Hit Papers

The protein tyrosine kinase JAK1 complements defects in i... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Laxton United Kingdom 11 909 906 498 292 241 17 1.6k
Kathrin Zitzmann Germany 15 855 0.9× 613 0.7× 347 0.7× 518 1.8× 195 0.8× 24 1.6k
Laura Runkel United States 19 776 0.9× 392 0.4× 1.1k 2.2× 668 2.3× 417 1.7× 24 2.2k
Pil Soo Sung South Korea 26 544 0.6× 493 0.5× 434 0.9× 879 3.0× 1.1k 4.6× 149 2.2k
Chun‐Bao Zhou China 15 970 1.1× 476 0.5× 167 0.3× 636 2.2× 474 2.0× 27 1.6k
Boris Blechacz United States 20 285 0.3× 1.3k 1.4× 827 1.7× 423 1.4× 392 1.6× 36 3.2k
Jack T. Lin United States 15 842 0.9× 557 0.6× 348 0.7× 122 0.4× 75 0.3× 22 1.3k
Michael Hahne France 11 1.1k 1.2× 232 0.3× 652 1.3× 260 0.9× 102 0.4× 12 1.7k
Donna Shows United States 11 676 0.7× 329 0.4× 498 1.0× 240 0.8× 44 0.2× 20 1.3k
Matthew Paulson United States 14 273 0.3× 294 0.3× 319 0.6× 399 1.4× 421 1.7× 18 1.0k
Mala Chakraborty United States 21 2.0k 2.1× 2.1k 2.4× 564 1.1× 160 0.5× 119 0.5× 33 3.1k

Countries citing papers authored by Carl Laxton

Since Specialization
Citations

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

Fields of papers citing papers by Carl Laxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Laxton

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

All Works

17 of 17 papers shown
1.
Laxton, Carl, Andrew Catchpole, E. Donnall Thomas, et al.. (2015). Use of qualitative integrative cycler PCR (qicPCR) to identify optimal therapeutic dosing time-points in a Respiratory Syncytial Virus Human Viral Challenge Model (hVCM). Journal of Virological Methods. 224. 83–90. 6 indexed citations
2.
Colman, Peter, Frances Burden, Carl Laxton, et al.. (2012). Therapy with TLR7 Agonists Induces Lymphopenia: Correlating Pharmacology to Mechanism in a Mouse Model. Journal of Clinical Immunology. 32(5). 1082–1092. 20 indexed citations
3.
Fidock, Mark, Carl Laxton, Peter Colman, et al.. (2011). The Innate Immune Response, Clinical Outcomes, and Ex Vivo HCV Antiviral Efficacy of a TLR7 Agonist (PF-4878691). Clinical Pharmacology & Therapeutics. 89(6). 821–829. 64 indexed citations
4.
Laxton, Carl, Kevin Brady, Sterghios Moschos, et al.. (2011). Selection, Optimization, and Pharmacokinetic Properties of a Novel, Potent Antiviral Locked Nucleic Acid-Based Antisense Oligomer Targeting Hepatitis C Virus Internal Ribosome Entry Site. Antimicrobial Agents and Chemotherapy. 55(7). 3105–3114. 40 indexed citations
5.
6.
Clarke, Sarah L. N., et al.. (2008). Comparison of Rat and Human Responses to Toll-Like Receptor 7 Activation. Journal of Interferon & Cytokine Research. 29(2). 113–126. 3 indexed citations
7.
Laxton, Carl, et al.. (2007). Investigating Toll-Like Receptor Agonists for Potential To Treat Hepatitis C Virus Infection. Antimicrobial Agents and Chemotherapy. 51(8). 2969–2978. 50 indexed citations
8.
Klumpp, Klaus, Vincent Lévêque, Sophie Le Pogam, et al.. (2005). The Novel Nucleoside Analog R1479 (4′-Azidocytidine) Is a Potent Inhibitor of NS5B-dependent RNA Synthesis and Hepatitis C Virus Replication in Cell Culture. Journal of Biological Chemistry. 281(7). 3793–3799. 166 indexed citations
9.
Laxton, Carl, et al.. (2001). Selection of HCV NS5A quasispecies during IFN therapy in patients with chronic HCV.. Digestive Diseases and Sciences. 46(7). 1399–1408. 6 indexed citations
10.
Laxton, Carl, Emma C. Hobbs, Ralf Bartenschlager, et al.. (2001). Characterisation of interferon alfa-2a and pegylated interferon alfa-2A in combination with ribavirin, mycophenolic acid or VX-497 as inhibitors of HCV replicon replication. Journal of Hepatology. 34. 117–118. 3 indexed citations
11.
Laxton, Carl, Emma C. Hobbs, Julian Symons, et al.. (2001). Use of the HCV subgenomic replicon for the selection and characterization of variants with reduced susceptibility to interferon alpha-2A. Journal of Hepatology. 34. 15–15. 2 indexed citations
12.
Laxton, Carl, et al.. (1999). Hepatitis C virus NS5A protein inhibits interferon antiviral activity, but the effects do not correlate with clinical response. Gastroenterology. 117(5). 1187–1197. 66 indexed citations
13.
Laxton, Carl, et al.. (1998). Expression and characterization of the hepatitis G virus helicase. Journal of Viral Hepatitis. 5(1). 21–26. 10 indexed citations
14.
Guille, Matthew, Carl Laxton, Michael Rutherford, Bryan Williams, & Ian M. Kerr. (1994). Functional differences in the promoters of the interferon‐inducible (2′‐5′)A oligoadenylate synthetase and 6–16 genes in interferon‐resistant Daudi cells. European Journal of Biochemistry. 219(1-2). 547–553. 14 indexed citations
15.
Müller, Mathias, James Briscoe, Carl Laxton, et al.. (1993). The protein tyrosine kinase JAK1 complements defects in interferon-α/β and -γ signal transduction. Nature. 366(6451). 129–135. 669 indexed citations breakdown →
16.
Müller, Mathias, Carl Laxton, James Briscoe, et al.. (1993). Complementation of a mutant cell line: central role of the 91 kDa polypeptide of ISGF3 in the interferon-alpha and -gamma signal transduction pathways.. The EMBO Journal. 12(11). 4221–4228. 386 indexed citations
17.
Ackrill, Andrew M., Graham R. Foster, Carl Laxton, et al.. (1991). Inhibition of the cellular response to interferons by products of the adenovirus type 5 E1A oncogene. Nucleic Acids Research. 19(16). 4387–4393. 105 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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