Danielle L. Drayton
- Immunology top 2%
- T-cell and B-cell Immunology 4
- IL-33, ST2, and ILC Pathways 1
- Reproductive System and Pregnancy 1
- Immune Cell Function and Interaction 1
- Immunology and Allergy top 5%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 2
- Virology top 10%
- Transplantation top 10%
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- Systemic Lupus Erythematosus Research 2
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- Monoclonal and Polyclonal Antibodies Research 2
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- Asthma and respiratory diseases 1
- Co-authors
- Nancy H. RuddleUlrich H. von AndrianJacqueline G. O’LearyMahmoud GoodarziShan LiaoWerner LesslauerJason LeeGiuseppina Bonizzi
- Journals
- Nature Immunology (2 papers)The Journal of Experimental Medicine (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle L. Drayton
7 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 1.2k
- Immunology and Allergy 89
- Oncology 383
- Virology 43
- Transplantation 22
Countries citing papers authored by Danielle L. Drayton
This map shows the geographic impact of Danielle L. Drayton'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 Danielle L. Drayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle L. Drayton more than expected).
Fields of papers citing papers by Danielle L. Drayton
This network shows the impact of papers produced by Danielle L. Drayton. 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 Danielle L. Drayton. The network helps show where Danielle L. Drayton may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Danielle L. Drayton, 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 | T cell– and B cell–independent adaptive immunity mediated by natural killer cellsbreakdown → | 2006 | 689 |
| 2 | Lymphoid organ development: from ontogeny to neogenesisbreakdown → | 2006 | 556 |
| 3 | 2004 | 59 | |
| 4 | 2003 | 210 | |
| 5 | Lymphocyte traffic in lymphoid organ neogenesis: differential roles of Ltalpha and LTalphabeta. | 2002 | 11 |
| 6 | Specificity of antibodies to bacterial DNA in the sera of healthy human subjects and patients with systemic lupus erythematosus. | 1999 | 18 |
| 7 | 1997 | 30 |
About Danielle L. Drayton
Danielle L. Drayton is a scholar working on Immunology, Rheumatology and Oncology, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), IL-33, ST2, and ILC Pathways (1 paper), Asthma and respiratory diseases (1 paper), Reproductive System and Pregnancy (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (1.2k citations), Immunology and Allergy (89 citations) and Oncology (383 citations). Danielle L. Drayton has collaborated with scholars based in United States. Frequent co-authors include Nancy H. Ruddle, Ulrich H. von Andrian, Jacqueline G. O’Leary, Mahmoud Goodarzi, Shan Liao, Werner Lesslauer, Jason Lee, Giuseppina Bonizzi, D S Pisetsky and Michael Karin. Their work appears in journals such as Nature Immunology, The Journal of Experimental Medicine, The Journal of Immunology, Clinical & Experimental Immunology and PubMed.
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.