David Askew
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 16
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 5
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- RNA Interference and Gene Delivery 2
- vaccines and immunoinformatics approaches 2
- Co-authors
- Clifford V. Harding (6 shared papers)Rose S. Chu (5 shared papers)Arthur Μ. Krieg (3 shared papers)Alex Y. Huang (7 shared papers)Erika H. Noss (2 shared papers)Jay Myers (4 shared papers)Anita C. Gilliam (2 shared papers)Aaron A.R. Tobian (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Cancer Letters (1 paper)American Journal Of Pathology (1 paper)Gene Therapy (1 paper)Immunology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
David Askew
18 papers receiving 573 citations
Peers
Comparison fields: 5 of 73
- Immunology 334
- Oncology 114
- Neurology 31
- Dermatology 30
- Microbiology 21
Countries citing papers authored by David Askew
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
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-authors
The 25 scholars most cited alongside David Askew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 109 | |
| 2 | 2009 | 70 | |
| 3 | 1999 | 62 | |
| 4 | 2010 | 57 | |
| 5 | 1999 | 39 | |
| 6 | 2018 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2007 | 28 | |
| 11 | 2004 | 17 | |
| 12 | 2000 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2007 | 13 | |
| 15 | 2010 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2002 | 2 | |
| 18 | CpG DNA and LPS cause dendritic cell maturation with distinct effects on nascent and recycling MHC-II antigen processing | 1999 | 2 |
About David Askew
David Askew is a scholar working on Immunology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Hematology, having authored 18 papers that have together received 578 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers), Escherichia coli research studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (334 citations), Oncology (114 citations), Neurology (31 citations), Dermatology (30 citations) and Microbiology (21 citations). David Askew has collaborated with scholars based in United States and China. Frequent 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. Their work appears in journals such as The Journal of Immunology, Cancer Letters, American Journal Of Pathology, Gene Therapy and Immunology.
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.