Peter J. Morley

1.3k total citations
26 papers, 1.0k citations indexed

About

Peter J. Morley is a scholar working on Immunology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter J. Morley has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter J. Morley's work include Immune Response and Inflammation (7 papers), Influenza Virus Research Studies (5 papers) and Tree-ring climate responses (4 papers). Peter J. Morley is often cited by papers focused on Immune Response and Inflammation (7 papers), Influenza Virus Research Studies (5 papers) and Tree-ring climate responses (4 papers). Peter J. Morley collaborates with scholars based in United Kingdom, United States and Taiwan. Peter J. Morley's co-authors include Robert J. Fenton, Ian J. Owens, Nicholas J. Gay, Daniel N.M. Donoghue, Andrew I. Bayliffe, Alistair S. Jump, Peter D. Howes, Darren V. S. Green, Andrew R. Whittington and Alan Beresford and has published in prestigious journals such as Journal of Biological Chemistry, Remote Sensing of Environment and Journal of Medicinal Chemistry.

In The Last Decade

Peter J. Morley

25 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Morley United Kingdom 16 334 255 225 223 113 26 1.0k
Kenji Sudo Japan 17 291 0.9× 89 0.3× 101 0.4× 253 1.1× 75 0.7× 47 933
Juergen Engel United States 13 391 1.2× 281 1.1× 68 0.3× 335 1.5× 59 0.5× 21 1.3k
Michael Fennell United Kingdom 16 118 0.4× 157 0.6× 51 0.2× 376 1.7× 32 0.3× 30 1.0k
Manabu Aoki Japan 23 279 0.8× 277 1.1× 151 0.7× 227 1.0× 76 0.7× 105 1.5k
William Farrugia Australia 21 99 0.3× 66 0.3× 304 1.4× 486 2.2× 348 3.1× 45 1.1k
Kosuke Kato United States 21 137 0.4× 62 0.2× 321 1.4× 564 2.5× 51 0.5× 47 1.3k
Yunping Huang United States 17 442 1.3× 172 0.7× 512 2.3× 712 3.2× 242 2.1× 48 1.6k
Yoshifumi Saito Japan 18 205 0.6× 45 0.2× 78 0.3× 251 1.1× 30 0.3× 38 937
Michael J. Lacy United States 15 247 0.7× 37 0.1× 671 3.0× 295 1.3× 107 0.9× 26 1.0k
William J. Kuhns United States 22 70 0.2× 257 1.0× 391 1.7× 638 2.9× 163 1.4× 89 1.3k

Countries citing papers authored by Peter J. Morley

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Morley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Morley

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Morley. A scholar is included among the top collaborators of Peter J. Morley 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 J. Morley. Peter J. Morley 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.
Morley, Peter J.. (2020). Remote Sensing of Northwest Himalayan Ecosystems. Edited by R. R. Navalgund, A. Senthil Kumar, and Subrata Nandy. Mountain Research and Development. 40(1). 1 indexed citations
2.
Massarelli, Erminia, Vincent K. Lam, Edwin R. Parra, et al.. (2019). High OX-40 expression in the tumor immune infiltrate is a favorable prognostic factor of overall survival in non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 7(1). 351–351. 41 indexed citations
3.
Morley, Peter J., et al.. (2019). Quantifying structural diversity to better estimate change at mountain forest margins. Remote Sensing of Environment. 223. 291–306. 19 indexed citations
4.
Proudfoot, Alastair, Andrew I. Bayliffe, Cecilia O’Kane, et al.. (2018). Novel anti-tumour necrosis factor receptor-1 (TNFR1) domain antibody prevents pulmonary inflammation in experimental acute lung injury. Thorax. 73(8). 723–730. 62 indexed citations
5.
Bhattacharya, Sabyasachi, Paul Bojczuk, David Kilian, et al.. (2018). Evaluation of OX40 receptor density, influence of IgG Isotype and dosing paradigm in anti-OX40-mediated efficacy and biomarker responses with PD-1 blockade. Annals of Oncology. 29. viii424–viii425.
6.
Wilson, Michael R., Kenji Wakabayashi, Brijesh Patel, et al.. (2017). Inhibition of TNF Receptor p55 By a Domain Antibody Attenuates the Initial Phase of Acid-Induced Lung Injury in Mice. Frontiers in Immunology. 8. 128–128. 21 indexed citations
7.
Morley, Peter J., Tracey J. Wright, Mary Birchler, et al.. (2015). Specificity of human anti-variable heavy (VH) chain autoantibodies and impact on the design and clinical testing of a VH domain antibody antagonist of tumour necrosis factor-α receptor 1. Clinical & Experimental Immunology. 182(2). 139–148. 33 indexed citations
8.
Holland, M. Claire, Jens Würthner, Peter J. Morley, et al.. (2013). Autoantibodies to Variable Heavy (VH) Chain Ig Sequences in Humans Impact the Safety and Clinical Pharmacology of a VH Domain Antibody Antagonist of TNF-α Receptor 1. Journal of Clinical Immunology. 33(7). 1192–1203. 57 indexed citations
10.
Wilson, Michael R., et al.. (2011). Selective inhibition of intra-alveolar p55 TNF receptor attenuates ventilator-induced lung injury. Thorax. 67(3). 244–251. 55 indexed citations
13.
Morley, Peter J., et al.. (2006). Conserved Features in the Extracellular Domain of Human Toll-like Receptor 8 Are Essential for pH-dependent Signaling. Journal of Biological Chemistry. 281(37). 27503–27511. 70 indexed citations
14.
Morley, Peter J., Peter Ertl, & Clive Sweet. (2002). Immunisation of Balb/c mice with severely attenuated murine cytomegalovirus mutants induces protective cellular and humoral immunity. Journal of Medical Virology. 67(2). 187–199. 10 indexed citations
15.
Abed, Yacine, Anne–Marie Bourgault, Robert J. Fenton, et al.. (2002). Characterization of 2 Influenza A(H3N2) Clinical Isolates with Reduced Susceptibility to Neuraminidase Inhibitors Due to Mutations in the Hemagglutinin Gene. The Journal of Infectious Diseases. 186(8). 1074–1080. 49 indexed citations
17.
Morley, Peter J., et al.. (2000). Replication-defective mutants of mouse cytomegalovirus protect against wild-type virus challenge. Journal of Medical Virology. 62(2). 127–139. 12 indexed citations
18.
Fenton, Robert J., Peter J. Morley, Ian J. Owens, et al.. (1999). Chemoprophylaxis of Influenza A Virus Infections, with Single Doses of Zanamivir, Demonstrates that Zanamivir Is Cleared Slowly from the Respiratory Tract. Antimicrobial Agents and Chemotherapy. 43(11). 2642–2647. 15 indexed citations
19.
Blick, Tony, Anjali Sahasrabudhe, Mandy McDonald, et al.. (1998). The Interaction of Neuraminidase and Hemagglutinin Mutations in Influenza Virus in Resistance to 4-Guanidino-Neu5Ac2en. Virology. 246(1). 95–103. 86 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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