David Askew

730 total citations
18 papers, 573 citations indexed

About

David Askew is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, David Askew has authored 18 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in David Askew's work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (5 papers). David Askew is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (5 papers). David Askew collaborates with scholars based in United States and China. David Askew's co-authors include Clifford V. Harding, Rose S. Chu, Arthur Μ. Krieg, Alex Y. Huang, Erika H. Noss, Jay Myers, Anita C. Gilliam, Aaron A.R. Tobian, Kenneth R. Cooke and Tej K. Pareek and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

David Askew

18 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Askew United States 14 347 159 124 60 45 18 573
Yuri Kawasaki Japan 10 390 1.1× 276 1.7× 118 1.0× 55 0.9× 46 1.0× 18 698
Avadhesh Kumar Singh India 14 312 0.9× 99 0.6× 151 1.2× 55 0.9× 32 0.7× 22 541
Johannes U. Mayer New Zealand 15 435 1.3× 321 2.0× 88 0.7× 30 0.5× 36 0.8× 24 804
Mridu Acharya United States 12 464 1.3× 142 0.9× 76 0.6× 121 2.0× 42 0.9× 24 712
Kylie R. James Australia 18 281 0.8× 238 1.5× 134 1.1× 79 1.3× 54 1.2× 30 750
Kazutaka Kitaura Japan 18 542 1.6× 159 1.0× 258 2.1× 63 1.1× 86 1.9× 46 880
Kristin Hochweller Germany 11 758 2.2× 108 0.7× 110 0.9× 38 0.6× 55 1.2× 12 940
Jyh Liang Hor Australia 9 744 2.1× 156 1.0× 212 1.7× 101 1.7× 50 1.1× 18 932
Giovanni Barillari Italy 12 330 1.0× 201 1.3× 166 1.3× 56 0.9× 52 1.2× 30 682
Shinya Hidano Japan 13 185 0.5× 243 1.5× 79 0.6× 93 1.6× 60 1.3× 29 580

Countries citing papers authored by David Askew

Since Specialization
Citations

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

Fields of papers citing papers by David Askew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Askew

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

All Works

18 of 18 papers shown
1.
Wang, Lei, Shuiliang Yu, E. Ricky Chan, et al.. (2021). Notch-Regulated Dendritic Cells Restrain Inflammation-Associated Colorectal Carcinogenesis. Cancer Immunology Research. 9(3). 348–361. 27 indexed citations
2.
Qiu, Hong, et al.. (2018). Inhibiting Notch1 enhances immunotherapy efficacy in melanoma by preventing Notch1 dependent immune suppressive properties. Cancer Letters. 434. 144–151. 33 indexed citations
3.
Allen, Frederick H., David Askew, Alexander Tong, et al.. (2017). CCL3 Enhances Antitumor Immune Priming in the Lymph Node via IFNγ with Dependency on Natural Killer Cells. Frontiers in Immunology. 8. 1390–1390. 28 indexed citations
4.
Askew, David, Charles A. Su, Deborah S. Barkauskas, et al.. (2016). Transient Surface CCR5 Expression by Naive CD8+ T Cells within Inflamed Lymph Nodes Is Dependent on High Endothelial Venule Interaction and Augments Th Cell–Dependent Memory Response. The Journal of Immunology. 196(9). 3653–3664. 12 indexed citations
5.
Askew, David, Tej K. Pareek, Saada Eid, et al.. (2016). Cyclin-dependent kinase 5 activity is required for allogeneic T-cell responses after hematopoietic cell transplantation in mice. Blood. 129(2). 246–256. 14 indexed citations
6.
Barkauskas, Deborah S., Rodney Dixon Dorand, Jay Myers, et al.. (2015). Focal transient CNS vessel leak provides a tissue niche for sequential immune cell accumulation during the asymptomatic phase of EAE induction. Experimental Neurology. 266. 74–85. 32 indexed citations
7.
Silva, Ines A., Krystyna M. Olkiewicz, David Askew, et al.. (2010). Secondary Lymphoid Organs Contribute to, but Are Not Required for the Induction of Graft-versus-Host Responses following Allogeneic Bone Marrow Transplantation: A shifting Paradigm for T Cell Allo-activation. Biology of Blood and Marrow Transplantation. 16(5). 598–611. 13 indexed citations
8.
Pareek, Tej K., Eric Lam, Xiaojing Zheng, et al.. (2010). Cyclin-dependent kinase 5 activity is required for T cell activation and induction of experimental autoimmune encephalomyelitis. The Journal of Experimental Medicine. 207(11). 2507–2519. 56 indexed citations
9.
Wolfram, Julie A., Doina Diaconu, Denise A. Hatala, et al.. (2009). Keratinocyte but Not Endothelial Cell-Specific Overexpression of Tie2 Leads to the Development of Psoriasis. American Journal Of Pathology. 174(4). 1443–1458. 70 indexed citations
10.
Askew, David & Clifford V. Harding. (2007). Antigen processing and CD24 expression determine antigen presentation by splenic CD4+ and CD8+ dendritic cells. Immunology. 123(3). 447–455. 28 indexed citations
11.
12.
Heeckeren, Anna van, et al.. (2004). Effect of Pseudomonas-induced chronic lung inflammation on specific cytotoxic T-cell responses to adenoviral vectors in mice. Gene Therapy. 11(19). 1427–1433. 17 indexed citations
13.
Askew, David & Clifford V. Harding. (2002). Differences in antigen processing with haplotype-mismatched MHC class II heterodimers: AαdAβb heterodimers participate in early endosomal processing. European Journal of Immunology. 32(10). 2726–2736. 2 indexed citations
14.
Chu, Rose S., David Askew, & Clifford V. Harding. (2000). CpG DNA Switches on Th1 Immunity and Modulates Antigen-Presenting Cell Function. Current topics in microbiology and immunology. 247. 199–210. 16 indexed citations
15.
Askew, David, Rose S. Chu, Arthur Μ. Krieg, & Clifford V. Harding. (2000). CpG DNA Induces Maturation of Dendritic Cells with Distinct Effects on Nascent and Recycling MHC-II Antigen-Processing Mechanisms. The Journal of Immunology. 165(12). 6889–6895. 109 indexed citations
16.
Ramachandra, Lakshmi, Rose S. Chu, David Askew, et al.. (1999). Phagocytic antigen processing and effects of microbial products on antigen processing and T‐cell responses. Immunological Reviews. 168(1). 217–239. 39 indexed citations
17.
Chu, Rose S., David Askew, Erika H. Noss, et al.. (1999). CpG Oligodeoxynucleotides Down-Regulate Macrophage Class II MHC Antigen Processing. The Journal of Immunology. 163(3). 1188–1194. 62 indexed citations
18.
Askew, David, Rose S. Chu, & Clifford V. Harding. (1999). CpG DNA and LPS cause dendritic cell maturation with distinct effects on nascent and recycling MHC-II antigen processing. 1. 27912. 2 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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