Peter Lock

3.0k total citations
56 papers, 2.5k citations indexed

About

Peter Lock is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Peter Lock has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Immunology and 12 papers in Oncology. Recurrent topics in Peter Lock's work include Cell Adhesion Molecules Research (9 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Peter Lock is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Peter Lock collaborates with scholars based in Australia, United States and Belgium. Peter Lock's co-authors include Stanley S. Stylli, Andrew H. Kaye, Ashley R. Dunn, Edouard G. Stanley, I Boulet, Stephen J. Ralph, Sara A. Courtneidge, D Metcalf, Nicos A. Nicola and Neal T. Skipper and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter Lock

56 papers receiving 2.5k 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 Lock Australia 28 1.2k 590 524 412 267 56 2.5k
Min‐Chuan Huang Taiwan 34 1.7k 1.4× 781 1.3× 379 0.7× 348 0.8× 162 0.6× 77 2.6k
Markus Meier Canada 24 1.9k 1.5× 171 0.3× 283 0.5× 91 0.2× 89 0.3× 66 2.9k
Masami Suzuki Japan 29 1.1k 0.9× 532 0.9× 273 0.5× 372 0.9× 64 0.2× 132 2.4k
HY Li Singapore 29 1.9k 1.5× 197 0.3× 548 1.0× 518 1.3× 54 0.2× 74 2.8k
Dale K. Shumaker United States 26 5.3k 4.3× 359 0.6× 1.2k 2.4× 278 0.7× 97 0.4× 31 6.3k
Jörg Kobarg Brazil 29 1.4k 1.1× 252 0.4× 449 0.9× 259 0.6× 67 0.3× 102 2.4k
Alexander W. Bell Canada 23 2.2k 1.8× 112 0.2× 1.0k 1.9× 356 0.9× 59 0.2× 35 3.3k
Gail Newton United States 25 1.2k 1.0× 1.1k 1.9× 162 0.3× 256 0.6× 342 1.3× 38 2.8k
Makoto Adachi Japan 28 3.1k 2.5× 352 0.6× 868 1.7× 606 1.5× 95 0.4× 103 4.6k

Countries citing papers authored by Peter Lock

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Lock

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lock. A scholar is included among the top collaborators of Peter Lock 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 Lock. Peter Lock 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.
McGrath, Sean, Alex Spurling, Peter Lock, et al.. (2021). A switch in mechanism of action prevents doxorubicin-mediated cardiac damage. Biochemical Pharmacology. 185. 114410–114410. 7 indexed citations
2.
Lock, Peter, et al.. (2019). Molecular Design of Core Substituted Naphthalene Diimides for the Exfoliation of Graphite to Graphene in Chloroform. ChemNanoMat. 5(10). 1303–1310. 4 indexed citations
3.
Lu, Chunni, Damien Zanker, Peter Lock, et al.. (2019). Memory regulatory T cells home to the lung and control influenza A virus infection. Immunology and Cell Biology. 97(9). 774–786. 21 indexed citations
4.
Zhao, Kening, Mark R. Bleackley, David Chisanga, et al.. (2019). Extracellular vesicles secreted by Saccharomyces cerevisiae are involved in cell wall remodelling. Communications Biology. 2(1). 305–305. 107 indexed citations
5.
6.
McGrath, Sean, Belinda S. Parker, Alex Spurling, et al.. (2017). Encapsulation of Mitoxantrone within Cucurbit[8]uril Decreases Toxicity and Enhances Survival in a Mouse Model of Cancer. ACS Medicinal Chemistry Letters. 8(5). 538–542. 28 indexed citations
7.
Brown, Teagan L., et al.. (2017). Characterization and formulation into solid dosage forms of a novel bacteriophage lytic against Klebsiella oxytoca. PLoS ONE. 12(8). e0183510–e0183510. 22 indexed citations
8.
Rautela, Jai, Nikola Baschuk, Clare Y. Slaney, et al.. (2015). Loss of Host Type-I IFN Signaling Accelerates Metastasis and Impairs NK-cell Antitumor Function in Multiple Models of Breast Cancer. Cancer Immunology Research. 3(11). 1207–1217. 60 indexed citations
9.
Cook, W D, Donia M. Moujalled, Peter Lock, et al.. (2014). RIPK1- and RIPK3-induced cell death mode is determined by target availability. Cell Death and Differentiation. 21(10). 1600–1612. 122 indexed citations
10.
Luwor, Rodney B., et al.. (2014). Expression of the adaptor protein Tks5 in human cancer: Prognostic potential. Oncology Reports. 32(3). 989–1002. 20 indexed citations
11.
Cejudo-Martı́n, Pilar, et al.. (2014). Genetic Disruption of the Sh3pxd2a Gene Reveals an Essential Role in Mouse Development and the Existence of a Novel Isoform of Tks5. PLoS ONE. 9(9). e107674–e107674. 27 indexed citations
12.
Stylli, Stanley S., et al.. (2012). Prognostic significance of Tks5 expression in gliomas. Journal of Clinical Neuroscience. 19(3). 436–442. 39 indexed citations
13.
Lock, Peter, et al.. (2006). Spred-2 steady-state levels are regulated by phosphorylation and Cbl-mediated ubiquitination. Biochemical and Biophysical Research Communications. 351(4). 1018–1023. 9 indexed citations
14.
Chan, James, Warren Clements, Judith Field, et al.. (2006). Transplantation of bone marrow genetically engineered to express proinsulin II protects against autoimmune insulitis in NOD mice. The Journal of Gene Medicine. 8(11). 1281–1290. 25 indexed citations
15.
Grumont, Raelene J., et al.. (2004). The Mitogen-Induced Increase in T Cell Size Involves PKC and NFAT Activation of Rel/NF-κB-Dependent c-myc Expression. Immunity. 21(1). 19–30. 90 indexed citations
16.
Abud, Helen E., Peter Lock, & Joan K. Heath. (2004). Efficient gene transfer into the epithelial cell layer of embryonic mouse intestine using low-voltage electroporation☆. Gastroenterology. 126(7). 1779–1787. 11 indexed citations
17.
Lock, Peter, Franca Casagranda, & Ashley R. Dunn. (1999). Independent SH2-binding Sites Mediate Interaction of Dok-related Protein with RasGTPase-activating Protein and Nck. Journal of Biological Chemistry. 274(32). 22775–22784. 54 indexed citations
18.
Lock, Peter, Stefano Fumagalli, Paul Polakis, Frank McCormick, & Sara A. Courtneidge. (1996). The Human p62 cDNA Encodes Sam68 and Not the RasGAP-Associated p62 Protein. Cell. 84(1). 23–24. 67 indexed citations
19.
Reske-Kunz, A B, et al.. (1994). CD4-mediated enhancement or inhibition of T cell activation does not require the CD4:p56lck association.. The Journal of Experimental Medicine. 179(6). 1973–1983. 21 indexed citations
20.
Stanley, Edouard G., Stephen J. Ralph, I Boulet, et al.. (1991). Alternatively Spliced Murine lyn mRNAs Encode Distinct Proteins. Molecular and Cellular Biology. 11(7). 3399–3406. 12 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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