Peter T. Loudon

2.3k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Peter T. Loudon is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Peter T. Loudon has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in Peter T. Loudon's work include Immunotherapy and Immune Responses (8 papers), Herpesvirus Infections and Treatments (4 papers) and Vector-Borne Animal Diseases (4 papers). Peter T. Loudon is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Herpesvirus Infections and Treatments (4 papers) and Vector-Borne Animal Diseases (4 papers). Peter T. Loudon collaborates with scholars based in United Kingdom, United States and Slovakia. Peter T. Loudon's co-authors include Polly Roy, Deborah H. Fuller, Connie S. Schmaljohn, Vivek Dua, Rachel Gurrell, Caroline Benn, Ciara Vangjeli, Andrew Pike, Richard Storer and E.A. Hewat and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Peter T. Loudon

28 papers receiving 1.0k citations

Hit Papers

Physiology of Hyperuricemia and Urate-Lowering Treatments 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter T. Loudon United Kingdom 17 355 271 245 242 183 28 1.1k
A. Corradi Italy 20 250 0.7× 165 0.6× 207 0.8× 214 0.9× 11 0.1× 77 1.2k
Dezső P. Virók Hungary 16 400 1.1× 409 1.5× 126 0.5× 395 1.6× 17 0.1× 46 1.4k
James W. Bowman United States 7 429 1.2× 289 1.1× 240 1.0× 429 1.8× 21 0.1× 8 1.0k
Valéria Endrész Hungary 18 286 0.8× 499 1.8× 110 0.4× 429 1.8× 20 0.1× 65 1.2k
Ken‐ichi Amano Japan 17 233 0.7× 386 1.4× 178 0.7× 303 1.3× 9 0.0× 41 1.1k
J. Goudswaard Netherlands 15 314 0.9× 353 1.3× 88 0.4× 130 0.5× 15 0.1× 54 1.1k
Jinxiu Hou China 17 490 1.4× 327 1.2× 134 0.5× 111 0.5× 9 0.0× 27 947
Daniel Enosi Tuipulotu Australia 17 612 1.7× 206 0.8× 290 1.2× 105 0.4× 65 0.4× 29 1.1k
Diana Pauly Germany 24 495 1.4× 536 2.0× 136 0.6× 72 0.3× 67 0.4× 45 1.5k
N G Watkins United States 10 193 0.5× 140 0.5× 94 0.4× 389 1.6× 14 0.1× 11 1.1k

Countries citing papers authored by Peter T. Loudon

Since Specialization
Citations

This map shows the geographic impact of Peter T. Loudon'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 Peter T. Loudon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Loudon more than expected).

Fields of papers citing papers by Peter T. Loudon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Loudon. 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 Peter T. Loudon. The network helps show where Peter T. Loudon may publish in the future.

Co-authorship network of co-authors of Peter T. Loudon

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Loudon. A scholar is included among the top collaborators of Peter T. Loudon 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 Peter T. Loudon. Peter T. Loudon 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.
Mi, Michael, Mark Whitlock, Xu Shi, et al.. (2023). Mixed meal tolerance testing highlights in diabetes altered branched-chain ketoacid metabolism and pathways associated with all-cause mortality. American Journal of Clinical Nutrition. 117(3). 529–539. 2 indexed citations
2.
Dua, Vivek, et al.. (2016). Acute kidney injury observed during phase 1 clinical trials of a novel xanthine oxidase/URAT1 dual inhibitor PF-06743649. Clinical Rheumatology. 35(8). 2045–2051. 16 indexed citations
3.
Boudreau, Ellen F., Matthew Josleyn, Diane E. Ullman, et al.. (2012). A Phase 1 clinical trial of Hantaan virus and Puumala virus M-segment DNA vaccines for hemorrhagic fever with renal syndrome. Vaccine. 30(11). 1951–1958. 47 indexed citations
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. 15 indexed citations
5.
Golden, Joseph W., Matthew Josleyn, Eric M. Mucker, et al.. (2012). Side-by-Side Comparison of Gene-Based Smallpox Vaccine with MVA in Nonhuman Primates. PLoS ONE. 7(7). e42353–e42353. 31 indexed citations
6.
Loudon, Peter T., Eric J. Yager, Amithi Narendran, et al.. (2010). GM-CSF Increases Mucosal and Systemic Immunogenicity of an H1N1 Influenza DNA Vaccine Administered into the Epidermis of Non-Human Primates. PLoS ONE. 5(6). e11021–e11021. 60 indexed citations
7.
Jones, Suzanne, Michaela Sharpe, John Oxford, et al.. (2009). DNA vaccination protects against an influenza challenge in a double-blind randomised placebo-controlled phase 1b clinical trial. Vaccine. 27(18). 2506–2512. 110 indexed citations
8.
Sharpe, Michaela, et al.. (2007). Protection of mice from H5N1 influenza challenge by prophylactic DNA vaccination using particle mediated epidermal delivery. Vaccine. 25(34). 6392–6398. 23 indexed citations
9.
Fuller, Deborah H., Peter T. Loudon, & Connie S. Schmaljohn. (2006). Preclinical and clinical progress of particle-mediated DNA vaccines for infectious diseases. Methods. 40(1). 86–97. 117 indexed citations
10.
Ahmad, Murrium, Robert C. Rees, Stéphanie McArdle, et al.. (2005). Regulation of CTL responses to MHC‐restricted class I peptide of the gp70 tumour antigen by splenic parenchymal CD4+ T cells in mice failing immunotherapy with DISC–mGM‐CSF. International Journal of Cancer. 115(6). 951–959. 7 indexed citations
11.
Ali, Selman, Murrium Ahmad, C. S. McLean, et al.. (2004). Anti-tumour therapeutic efficacy of OX40L in murine tumour model. Vaccine. 22(27-28). 3585–3594. 43 indexed citations
12.
Bunce, Campbell, et al.. (2003). Development of vaccines to help treat drug dependence.. PubMed. 5(1). 58–63. 9 indexed citations
13.
Loudon, Peter T., C. S. McLean, Gilly Martin, et al.. (2003). Preclinical evaluation of DISC‐GMCSF for the treatment of breast carcinoma. The Journal of Gene Medicine. 5(5). 407–416. 7 indexed citations
15.
Loudon, Peter T., D M Blakeley, M. E. G. Boursnell, et al.. (2001). Preclinical safety testing of DISC-hGMCSF to support phase I clinical trials in cancer patients. The Journal of Gene Medicine. 3(5). 458–467. 15 indexed citations
16.
Loudon, Peter T. & Polly Roy. (1992). Interaction of nucleic acids with core-like and subcore-like particles of bluetongue virus. Virology. 191(1). 231–236. 16 indexed citations
17.
Hewat, E.A., Timothy F. Booth, Peter T. Loudon, & Polly Roy. (1992). Three-dimensional reconstruction of baculovirus expressed bluetongue virus core-like particles by cryo-electron microscopy. Virology. 189(1). 10–20. 89 indexed citations
20.
Loudon, Peter T., R. Nelson, & David S. Ingram. (1989). Studies of protoplast culture and plant regeneration from commercial and rapid-cyclingBrassica species. Plant Cell Tissue and Organ Culture (PCTOC). 19(3). 213–224. 25 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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