Ted Petley

516 total citations
8 papers, 404 citations indexed

About

Ted Petley is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Ted Petley has authored 8 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Ted Petley's work include Asthma and respiratory diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Allergic Rhinitis and Sensitization (2 papers). Ted Petley is often cited by papers focused on Asthma and respiratory diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Allergic Rhinitis and Sensitization (2 papers). Ted Petley collaborates with scholars based in United States, Canada and France. Ted Petley's co-authors include James R. Florini, Gaoyun Yang, Jill Giles‐Komar, Anuk Das, Eva Emmell, Don E. Griswold, A. Paige Davis Volk, Lily Li, Li J and Xiaozhou Shang and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Cancer and Molecular Immunology.

In The Last Decade

Ted Petley

7 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Petley United States 7 190 157 122 79 79 8 404
Bernd Schnarr Germany 10 157 0.8× 222 1.4× 159 1.3× 57 0.7× 125 1.6× 10 530
F. Paolieri Italy 12 164 0.9× 188 1.2× 67 0.5× 68 0.9× 68 0.9× 17 458
M Kagami Japan 9 221 1.2× 171 1.1× 84 0.7× 32 0.4× 10 0.1× 28 382
S Cohen United States 7 42 0.2× 154 1.0× 119 1.0× 38 0.5× 61 0.8× 14 434
Dwayne Ford United States 9 62 0.3× 157 1.0× 111 0.9× 19 0.2× 20 0.3× 9 362
Dóra Krikovszky Hungary 6 85 0.4× 108 0.7× 26 0.2× 33 0.4× 32 0.4× 13 302
Matthew P. Vasievich United States 9 95 0.5× 54 0.3× 166 1.4× 45 0.6× 28 0.4× 12 407
Yuxiu Xia Australia 12 120 0.6× 83 0.5× 108 0.9× 129 1.6× 16 0.2× 16 344
Justine Van Moorleghem Belgium 11 232 1.2× 412 2.6× 122 1.0× 83 1.1× 9 0.1× 15 658
Maria Luz Lara-Marquez United States 10 59 0.3× 96 0.6× 64 0.5× 48 0.6× 12 0.2× 13 372

Countries citing papers authored by Ted Petley

Since Specialization
Citations

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

Fields of papers citing papers by Ted Petley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Petley

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Petley. A scholar is included among the top collaborators of Ted Petley 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 Ted Petley. Ted Petley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Smans, Karine, Katrin Sproesser, Kathryn Packman, et al.. (2024). 144 (PB132): JNJ-79032421 is a novel membrane restricted mesothelin targeting Tcell engaging bispecific antibody for treatment of mesothelin-positive cancers. European Journal of Cancer. 211. 114666–114666.
2.
Lü, Jin, Sheng‐Jiun Wu, Eilyn R. Lacy, et al.. (2016). Monoclonal antibodies targeting ST2L Domain 1 or Domain 3 differentially modulate IL-33-induced cytokine release by human mast cell and basophilic cell lines. Molecular Immunology. 75. 178–187. 6 indexed citations
3.
Duffy, Karen E., Roberta J. Lamb, Lani R. San Mateo, et al.. (2010). Novel antagonist antibody to TLR3 blocks poly(I:C)-induced inflammation in vivo and in vitro. Cellular Immunology. 267(1). 9–16. 16 indexed citations
4.
Held, Katherine S., William G. Glass, Ted Petley, et al.. (2008). Generation of a Protective T-Cell Response Following Coronavirus Infection of the Central Nervous System Is Not Dependent on IL-12/23 Signaling. Viral Immunology. 21(2). 173–188. 16 indexed citations
5.
Yang, Gaoyun, Lily Li, A. Paige Davis Volk, et al.. (2005). Therapeutic Dosing with Anti-Interleukin-13 Monoclonal Antibody Inhibits Asthma Progression in Mice. Journal of Pharmacology and Experimental Therapeutics. 313(1). 8–15. 73 indexed citations
6.
Yang, Gaoyun, A. Paige Davis Volk, Ted Petley, et al.. (2004). Anti-IL-13 monoclonal antibody inhibits airway hyperresponsiveness, inflammation and airway remodeling. Cytokine. 28(6). 224–232. 160 indexed citations
7.
Petley, Ted, et al.. (1999). Variation Among Cell Types in the Signaling Pathways by which IGF-I Stimulates Specific Cellular Responses*. Hormone and Metabolic Research. 31(02/03). 70–76. 102 indexed citations
8.
Samuel, Didier, et al.. (1999). Raf-1 Activation Stimulates Proliferation and Inhibits IGF-Stimulated Differentiation in L6A1 Myoblasts. Hormone and Metabolic Research. 31(02/03). 55–64. 31 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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