Danielle L. Drayton

2.0k total citations · 2 hit papers
7 papers, 1.6k citations indexed

About

Danielle L. Drayton is a scholar working on Immunology, Oncology and Rheumatology. According to data from OpenAlex, Danielle L. Drayton has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Danielle L. Drayton's work include T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Danielle L. Drayton is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Danielle L. Drayton collaborates with scholars based in United States. Danielle L. Drayton's 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 and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Immunology and The Journal of Immunology.

In The Last Decade

Danielle L. Drayton

7 papers receiving 1.5k citations

Hit Papers

T cell– and B cell–independent adaptive immunity mediated... 2006 2026 2012 2019 2006 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle L. Drayton United States 7 1.2k 383 195 123 120 7 1.6k
Mindi Walker United States 15 1.5k 1.2× 316 0.8× 138 0.7× 112 0.9× 80 0.7× 25 1.8k
Nikole Perdue United States 14 1.6k 1.3× 279 0.7× 218 1.1× 117 1.0× 117 1.0× 22 2.0k
Misako Itoh Japan 8 2.6k 2.0× 407 1.1× 182 0.9× 129 1.0× 147 1.2× 9 2.9k
Tom Cox United States 6 2.3k 1.8× 349 0.9× 184 0.9× 128 1.0× 78 0.7× 7 2.5k
Katja C. Beier Germany 9 1.3k 1.0× 355 0.9× 135 0.7× 79 0.6× 80 0.7× 11 1.6k
Christiane Siewert Germany 9 1.9k 1.6× 327 0.9× 299 1.5× 84 0.7× 59 0.5× 14 2.2k
Judith L. McKenzie New Zealand 25 1.4k 1.2× 281 0.7× 480 2.5× 128 1.0× 113 0.9× 67 2.0k
Niklas Czeloth Germany 17 1.4k 1.1× 428 1.1× 371 1.9× 67 0.5× 62 0.5× 20 1.8k
Nancy Craighead United States 16 1.4k 1.1× 549 1.4× 283 1.5× 162 1.3× 100 0.8× 22 1.9k
Jean‐Michel Bridon France 9 1.6k 1.3× 469 1.2× 385 2.0× 144 1.2× 52 0.4× 10 2.0k

Countries citing papers authored by Danielle L. Drayton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Danielle L. Drayton

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

All Works

7 of 7 papers shown
1.
O’Leary, Jacqueline G., Mahmoud Goodarzi, Danielle L. Drayton, & Ulrich H. von Andrian. (2006). T cell– and B cell–independent adaptive immunity mediated by natural killer cells. Nature Immunology. 7(5). 507–516. 689 indexed citations breakdown →
2.
Drayton, Danielle L., et al.. (2006). Lymphoid organ development: from ontogeny to neogenesis. Nature Immunology. 7(4). 344–353. 556 indexed citations breakdown →
3.
Drayton, Danielle L., et al.. (2004). IκB Kinase Complex α Kinase Activity Controls Chemokine and High Endothelial Venule Gene Expression in Lymph Nodes and Nasal-Associated Lymphoid Tissue. The Journal of Immunology. 173(10). 6161–6168. 59 indexed citations
4.
Drayton, Danielle L., et al.. (2003). Ectopic LTαβ Directs Lymphoid Organ Neogenesis with Concomitant Expression of Peripheral Node Addressin and a HEV-restricted Sulfotransferase. The Journal of Experimental Medicine. 197(9). 1153–1163. 210 indexed citations
5.
Drayton, Danielle L., et al.. (2002). Lymphocyte traffic in lymphoid organ neogenesis: differential roles of Ltalpha and LTalphabeta.. PubMed. 512. 43–8. 11 indexed citations
6.
Pisetsky, David S., Danielle L. Drayton, & Ziyan Wu. (1999). Specificity of antibodies to bacterial DNA in the sera of healthy human subjects and patients with systemic lupus erythematosus.. PubMed. 26(9). 1934–8. 18 indexed citations
7.
Drayton, Danielle L., et al.. (1997). Specificity and immunochemical properties of antibodies to bacterial DNA in sera of normal human subjects and patients with systemic lupus erythematosus (SLE). Clinical & Experimental Immunology. 109(1). 27–31. 30 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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