Danielle M. Turley

1.2k total citations
11 papers, 978 citations indexed

About

Danielle M. Turley is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Danielle M. Turley has authored 11 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Danielle M. Turley's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (4 papers). Danielle M. Turley is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (4 papers). Danielle M. Turley collaborates with scholars based in United States, Thailand and Australia. Danielle M. Turley's co-authors include Stephen D. Miller, Joseph R. Podojil, Abdul H. Fauq, Sridevi Gottipati, Katherine Simpson, Lucio Miele, Barbara A. Osborne, Tanapat Palaga, Todd E. Golde and Rebecca Lawlor and has published in prestigious journals such as Nature reviews. Immunology, Nature Immunology and The Journal of Immunology.

In The Last Decade

Danielle M. Turley

11 papers receiving 964 citations

Peers

Danielle M. Turley
Sook Kyung Chang United States
N Karin Israel
Kazuhisa Nozawa Japan
Hidenori Hase Japan
Alexander Sternjak Germany
Vadim Y. Taraban United Kingdom
Grzegorz Terszowski Switzerland
Ariel Madrigal United States
Qinglin Ou United States
MA Jutila United States
Sook Kyung Chang United States
Danielle M. Turley
Citations per year, relative to Danielle M. Turley Danielle M. Turley (= 1×) peers Sook Kyung Chang

Countries citing papers authored by Danielle M. Turley

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Turley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Turley. 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 M. Turley. The network helps show where Danielle M. Turley may publish in the future.

Co-authorship network of co-authors of Danielle M. Turley

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

All Works

11 of 11 papers shown
1.
Manfra, Louis, et al.. (2023). Parent and teacher perceptions of ESL and non-ESL preschoolers’ school readiness. Educational Psychology. 43(8). 947–966. 1 indexed citations
2.
Gormley, Nicole, Danielle M. Turley, Jennifer S. Dickey, et al.. (2015). Regulatory perspective on minimal residual disease flow cytometry testing in multiple myeloma. Cytometry Part B Clinical Cytometry. 90(1). 73–80. 21 indexed citations
3.
Getts, Daniel R., Danielle M. Turley, Cassandra Smith, et al.. (2011). Tolerance Induced by Apoptotic Antigen-Coupled Leukocytes Is Induced by PD-L1+ and IL-10–Producing Splenic Macrophages and Maintained by T Regulatory Cells. The Journal of Immunology. 187(5). 2405–2417. 165 indexed citations
4.
Turley, Danielle M. & Stephen D. Miller. (2009). Prospects for Antigen-Specific Tolerance Based Therapies for the Treatment of Multiple Sclerosis. Results and problems in cell differentiation. 51. 217–235. 24 indexed citations
5.
Podojil, Joseph R., Danielle M. Turley, & Stephen D. Miller. (2008). Therapeutic Blockade of T- Cell Antigen Receptor Signal Transduction and Costimulation in Autoimmune Disease. Advances in experimental medicine and biology. 640. 234–251. 10 indexed citations
6.
7.
Miller, Stephen D., Danielle M. Turley, & Joseph R. Podojil. (2007). Antigen-specific tolerance strategies for the prevention and treatment of autoimmune disease. Nature reviews. Immunology. 7(9). 665–677. 232 indexed citations
8.
Kohm, Adam P., Danielle M. Turley, & Stephen D. Miller. (2005). Targeting the TCR: T-Cell Receptor and Peptide-Specific Tolerance–Based Strategies for Restoring Self-Tolerance in CNS Autoimmune Disease. International Reviews of Immunology. 24(5-6). 361–392. 13 indexed citations
9.
Minter, Lisa M., Danielle M. Turley, Pritam Das, et al.. (2005). Inhibitors of gamma-secretase block in vivo and in vitro T helper type 1 polarization by preventing Notch upregulation of Tbx21.. PubMed. 6(7). 680–8. 246 indexed citations
10.
Minter, Lisa M., Danielle M. Turley, Pritam Das, et al.. (2005). Inhibitors of γ-secretase block in vivo and in vitro T helper type 1 polarization by preventing Notch upregulation of Tbx21. Nature Immunology. 6(7). 680–688. 131 indexed citations
11.
Eagar, Todd N., Danielle M. Turley, Josette Padilla, et al.. (2004). CTLA-4 Regulates Expansion and Differentiation of Th1 Cells Following Induction of Peripheral T Cell Tolerance. The Journal of Immunology. 172(12). 7442–7450. 26 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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