Lawrence Hunt

1.2k total citations
17 papers, 836 citations indexed

About

Lawrence Hunt is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Lawrence Hunt has authored 17 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Immunology and Allergy. Recurrent topics in Lawrence Hunt's work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (6 papers). Lawrence Hunt is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (6 papers). Lawrence Hunt collaborates with scholars based in United Kingdom, United States and Austria. Lawrence Hunt's co-authors include Jim Kaufman, David Ávila, Jan Salomonsen, Hans‐Joachim Wallny, Karsten Skjødt, John R. Young, Olli Vainio, Andrew C. Gill, Michael V. Wiles and Francis Vilbois and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Lawrence Hunt

17 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Hunt United Kingdom 15 427 225 210 193 108 17 836
Kirsten C. Weining Germany 10 380 0.9× 114 0.5× 193 0.9× 360 1.9× 57 0.5× 10 784
Sonja Härtle Germany 18 336 0.8× 160 0.7× 348 1.7× 218 1.1× 38 0.4× 35 814
Colin Butter United Kingdom 16 359 0.8× 143 0.6× 317 1.5× 129 0.7× 27 0.3× 21 672
Arna E. Andrews Australia 16 320 0.7× 225 1.0× 170 0.8× 43 0.2× 37 0.3× 25 698
Suresh H. Basagoudanavar India 15 299 0.7× 320 1.4× 278 1.3× 61 0.3× 32 0.3× 54 956
E. Rijke Netherlands 10 207 0.5× 109 0.5× 101 0.5× 206 1.1× 43 0.4× 12 527
Nathalie Moiré France 17 133 0.3× 149 0.7× 156 0.7× 111 0.6× 376 3.5× 44 801
Maki Nishimura Japan 17 173 0.4× 295 1.3× 251 1.2× 43 0.2× 453 4.2× 35 898
Aspen M. Workman United States 18 296 0.7× 150 0.7× 311 1.5× 136 0.7× 28 0.3× 44 728
H. Izawa Japan 16 663 1.6× 166 0.7× 178 0.8× 147 0.8× 33 0.3× 106 930

Countries citing papers authored by Lawrence Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Hunt. A scholar is included among the top collaborators of Lawrence Hunt 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 Lawrence Hunt. Lawrence Hunt 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.
Tregaskes, Clive A., Michael J. Harrison, Andy van Hateren, et al.. (2015). Surface expression, peptide repertoire, and thermostability of chicken class I molecules correlate with peptide transporter specificity. Proceedings of the National Academy of Sciences. 113(3). 692–697. 20 indexed citations
2.
Staines, Karen, Lawrence Hunt, John R. Young, & Colin Butter. (2014). Evolution of an Expanded Mannose Receptor Gene Family. PLoS ONE. 9(11). e110330–e110330. 37 indexed citations
3.
Ritchie, Mark, Lawrence Hunt, & Andrew C. Gill. (2012). Lysine hydroxylation and O-glycosylation in the globular, C-terminal region of mammalian-expressed, recombinant PrP. International Journal of Mass Spectrometry. 345-347. 132–141. 2 indexed citations
4.
Walker, Brian A., Lawrence Hunt, Karsten Skjødt, et al.. (2011). The dominantly expressed class I molecule of the chicken MHC is explained by coevolution with the polymorphic peptide transporter (TAP) genes. Proceedings of the National Academy of Sciences. 108(20). 8396–8401. 69 indexed citations
5.
Kurian, Dominic, Sonya Agarwal, Lawrence Hunt, et al.. (2011). Na+/K+-ATPase Is Present in Scrapie-Associated Fibrils, Modulates PrP Misfolding In Vitro and Links PrP Function and Dysfunction. PLoS ONE. 6(11). e26813–e26813. 14 indexed citations
6.
Macdonald, Isabel, Maria Harkiolaki, Lawrence Hunt, et al.. (2010). MHC Class I Bound to an Immunodominant Theileria parva Epitope Demonstrates Unconventional Presentation to T Cell Receptors. PLoS Pathogens. 6(10). e1001149–e1001149. 47 indexed citations
7.
Lal, Kalpana, Elizabeth H. C. Bromley, Judith Helena Prieto, et al.. (2009). Proteomic comparison of four Eimeria tenella life‐cycle stages: Unsporulated oocyst, sporulated oocyst, sporozoite and second‐generation merozoite. PROTEOMICS. 9(19). 4566–4576. 94 indexed citations
8.
Hu, Tuanjun, Karen Staines, Kathryn Wright, et al.. (2008). The BAFF-Interacting receptors of chickens. Developmental & Comparative Immunology. 32(9). 1076–1087. 17 indexed citations
9.
Periz, Javier, Andrew C. Gill, Lawrence Hunt, Philip J. Brown, & Fiona M. Tomley. (2007). The Microneme Proteins EtMIC4 and EtMIC5 of Eimeria tenella Form a Novel, Ultra-high Molecular Mass Protein Complex That Binds Target Host Cells. Journal of Biological Chemistry. 282(23). 16891–16898. 28 indexed citations
10.
Koch, Michael, David Ávila, Jan Salomonsen, et al.. (2007). Structures of an MHC Class I Molecule from B21 Chickens Illustrate Promiscuous Peptide Binding. Immunity. 27(6). 885–899. 147 indexed citations
11.
Lefèvre, Eric A., W. Hein, Zania Stamataki, et al.. (2007). Fibrinogen is localized on dark zone follicular dendritic cells in vivo and enhances the proliferation and survival of a centroblastic cell line in vitro. Journal of Leukocyte Biology. 82(3). 666–677. 13 indexed citations
12.
Wallny, Hans‐Joachim, David Ávila, Lawrence Hunt, et al.. (2006). Peptide motifs of the single dominantly expressed class I molecule explain the striking MHC-determined response to Rous sarcoma virus in chickens. Proceedings of the National Academy of Sciences. 103(5). 1434–1439. 149 indexed citations
13.
Tregaskes, Clive A., Harrie L. Glansbeek, Andrew C. Gill, et al.. (2004). Conservation of biological properties of the CD40 ligand, CD154 in a non-mammalian vertebrate. Developmental & Comparative Immunology. 29(4). 361–374. 51 indexed citations
14.
Burgess, Shane C., Bas Baaten, Lawrence Hunt, et al.. (2004). Marek's disease is a natural model for lymphomas overexpressing Hodgkin's disease antigen (CD30). Proceedings of the National Academy of Sciences. 101(38). 13879–13884. 80 indexed citations
15.
16.
Boulanger, D., Philip Green, Lawrence Hunt, et al.. (2002). Identification and Characterization of Three Immunodominant Structural Proteins of Fowlpox Virus. Journal of Virology. 76(19). 9844–9855. 23 indexed citations
17.
Greasley, Peter J., Lawrence Hunt, & Michael G. Gore. (1994). Bovine inositol monophosphatase. European Journal of Biochemistry. 222(2). 453–460. 22 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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