Paul Cockle
About
Paul Cockle is a scholar working on Epidemiology, Infectious Diseases and Immunology.
According to data from OpenAlex, Paul Cockle has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 18 papers in Infectious Diseases and 12 papers in Immunology. Recurrent topics in Paul Cockle's work include Mycobacterium research and diagnosis (19 papers), Tuberculosis Research and Epidemiology (18 papers) and vaccines and immunoinformatics approaches (6 papers). Paul Cockle is often cited by papers focused on Mycobacterium research and diagnosis (19 papers), Tuberculosis Research and Epidemiology (18 papers) and vaccines and immunoinformatics approaches (6 papers). Paul Cockle collaborates with scholars based in United Kingdom, United States and New Zealand. Paul Cockle's co-authors include R. Glyn Hewinson, Adam O. Whelan, H. Martin Vordermeier, H. M. Vordermeier, Mark A. Chambers, Stephen V. Gordon, Shelley Rhodes, N. Palmer, Bryce M. Buddle and Ajit Lalvani and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
In The Last Decade
Paul Cockle
27 papers receiving 1.5k citations
Peers
Paul Cockle
H. M. Vordermeier United Kingdom
Jacqueline Inwald United Kingdom
Rena Greenwald United States
J.S. Rothel Australia
Benjamin Wizel United States
Sven D.C. Parsons South Africa
Celine D’Souza United States
Shaobin Shang China
Martin J. Elhay Australia
Dominique Buzoni–Gatel France
Citations per year, relative to Paul Cockle Paul Cockle (= 1×)
peers
H. M. Vordermeier
Countries citing papers authored by Paul Cockle
Since
Specialization
Citations
This map shows the geographic impact of Paul Cockle'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 Paul Cockle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Cockle more than expected).
Fields of papers citing papers by Paul Cockle
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Paul Cockle. 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 Paul Cockle. The network helps show where Paul Cockle may publish in the future.
Co-authorship network of co-authors of Paul Cockle
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Cockle. A scholar is included among the top collaborators of Paul Cockle 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 Paul Cockle. Paul Cockle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Naing, Aung, Lee S. Rosen, Danny N. Khalil, et al.. (2021). 1011P FORTITUDE phase I study of NG-350A, a novel tumour-selective adenoviral vector expressing an anti-CD40 agonist antibody: Monotherapy dose escalation results. Annals of Oncology. 32. S853–S854.
2.
Champion, Brian, et al.. (2019). Abstract 5013: NG-641: An oncolytic T-SIGn virus targeting cancer-associated fibroblasts in the stromal microenvironment of human carcinomas. Cancer Research. 79(13_Supplement). 5013–5013.
3.
Bright, Helen, Paul Cockle, Rob Webster, et al.. (2013). CD8+ T Lymphocyte Epitopes From The Herpes Simplex Virus Type 2 ICP27, VP22 and VP13/14 Proteins To Facilitate Vaccine Design And Characterization. Cells. 2(1). 19–42.
4.
Bright, Helen, et al.. (2012). The efficacy of HSV-2 vaccines based on gD and gB is enhanced by the addition of ICP27. Vaccine. 30(52). 7529–7535.
5.
Ameni, Gobena, Paul Cockle, Konstantin P. Lyashchenko, & Martin Vordermeier. (2012). T-Cell and Antibody Responses to Mycobacterial Antigens in Tuberculin Skin-Test-PositiveBos indicusandBos taurusCattle in Ethiopia. Veterinary Medicine International. 2012. 1–6.
6.
Cockle, Paul, Jim Eyles, Michael J. McCluskie, et al.. (2011). Single and Combination Herpes Simplex Virus Type 2 Glycoprotein Vaccines Adjuvanted with CpG Oligodeoxynucleotides or Monophosphoryl Lipid A Exhibit Differential Immunity That Is Not Correlated to Protection in Animal Models. Clinical and Vaccine Immunology. 18(10). 1702–1709.
7.
Whelan, Adam O., Michael Coad, Paul Cockle, et al.. (2009). Revisiting Host Preference in the Mycobacterium tuberculosis Complex: Experimental Infection Shows M. tuberculosis H37Rv to Be Avirulent in Cattle. PLoS ONE. 5(1). e8527–e8527.
8.
Vordermeier, H. Martin, Bernardo Villarreal‐Ramos, Paul Cockle, et al.. (2009). Viral Booster Vaccines Improve Mycobacterium bovis BCG-Induced Protection against Bovine Tuberculosis. Infection and Immunity. 77(8). 3364–3373.
9.
Golby, Paul, Paul Cockle, Katie Ewer, et al.. (2008). Characterization of two in vivo-expressed methyltransferases of the Mycobacterium tuberculosis complex: antigenicity and genetic regulation. Microbiology. 154(4). 1059–1067.
10.
Vordermeier, H. Martin, Paul Cockle, Willeke P. J. Franken, et al.. (2007). Assessment of Cross-Reactivity between Mycobacterium bovis and M. kansasii ESAT-6 and CFP-10 at the T-Cell Epitope Level. Clinical and Vaccine Immunology. 14(11). 1536–1536.
11.
Denis, Michel, D. Neil Wedlock, A.R. McCarthy, et al.. (2007). Enhancement of the Sensitivity of the Whole-Blood Gamma Interferon Assay for Diagnosis ofMycobacterium bovisInfections in Cattle. Clinical and Vaccine Immunology. 14(11). 1483–1489.
12.
Ewer, Katie, Paul Cockle, Stephen V. Gordon, et al.. (2006). Antigen Mining with Iterative Genome Screens Identifies Novel Diagnostics for the Mycobacterium tuberculosis Complex. Clinical and Vaccine Immunology. 13(1). 90–97.
13.
Cockle, Paul, Stephen V. Gordon, R. Glyn Hewinson, & H. M. Vordermeier. (2006). Field Evaluation of a Novel Differential Diagnostic Reagent for Detection of Mycobacterium bovis in Cattle. Clinical and Vaccine Immunology. 13(10). 1119–1124.
14.
Vordermeier, H. M., Reno Pontarollo, B Karvonen, et al.. (2005). Synthetic peptide vaccination in cattle: induction of strong cellular immune responses against peptides derived from the Mycobacterium bovis antigen Rv3019c. Vaccine. 23(35). 4375–4384.
15.
Liu, Xiaoqing, Davinder Dosanjh, Katie Ewer, et al.. (2004). Evaluation of T-Cell Responses to Novel RD1- and RD2-EncodedMycobacterium tuberculosisGene Products for Specific Detection of Human Tuberculosis Infection. Infection and Immunity. 72(5). 2574–2581.
16.
Demangel, Caroline, Priscille Brodin, Paul Cockle, et al.. (2004). Cell Envelope Protein PPE68 Contributes toMycobacterium tuberculosisRD1 Immunogenicity Independently of a 10-Kilodalton Culture Filtrate Protein and ESAT-6. Infection and Immunity. 72(4). 2170–2176.
17.
Vordermeier, H. Martin, et al.. (2002). Correlation of ESAT-6-Specific Gamma Interferon Production with Pathology in Cattle followingMycobacterium bovisBCG Vaccination against Experimental Bovine Tuberculosis. Infection and Immunity. 70(6). 3026–3032.
18.
Mustafa, Abu Salim, Paul Cockle, Fatema A. Shaban, R. Glyn Hewinson, & H. M. Vordermeier. (2002). Immunogenicity ofMycobacterium tuberculosisRD1 region gene products in infected cattle. Clinical & Experimental Immunology. 130(1). 37–42.
19.
Vordermeier, H. M., et al.. (2001). Use of Synthetic Peptides Derived from the Antigens ESAT-6 and CFP-10 for Differential Diagnosis of Bovine Tuberculosis in Cattle. Clinical and Diagnostic Laboratory Immunology. 8(3). 571–578.
20.
Vordermeier, H. M., Paul Cockle, Adam O. Whelan, Shelley Rhodes, & R. Glyn Hewinson. (2000). Toward the Development of Diagnostic Assays to Discriminate between Mycobacterium bovis Infection and Bacille Calmette-Guérin Vaccination in Cattle. Clinical Infectious Diseases. 30(Supplement_3). S291–S298.
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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