Danielle M. Turley

1.2k citations
11 papers · 978 indexed · h-index 10
Topics
T-cell and B-cell Immunology (7 papers)Immune Cell Function and Interaction (7 papers)Immunotherapy and Immune Responses (4 papers)

In The Last Decade

Danielle M. Turley

11 papers receiving 964 citations

Peers

Danielle M. Turley
Comparison fields: 5 of 78
  • Immunology 650
  • Molecular Biology 293
  • Oncology 121
  • Genetics 92
  • Surgery 88
Replace Alexander Sternjak with:
Alexander Sternjak Germany
Marek Masiuk Poland
Patrice Hermann Japan
Grzegorz Terszowski Switzerland
Hsiao-Tzu Ni United States
Ariel Madrigal United States
Yuan K. Chou United States
William Siders United States
Carmen Hernández‐López Spain
Junko Toki Japan
Danielle M. Turley relative to Alexander Sternjak Germany Alexander Sternjak's profile →
Citations per field
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Alexander Sternjak · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 21
3 165
4 24
5 10
6 109
7 232
8 13
9
Inhibitors of gamma-secretase block in vivo and in vitro T helper type 1 polarization by preventing Notch upregulation of Tbx21.
246
10 131
11 26

About Danielle M. Turley

Danielle M. Turley is a scholar working on Immunology, Hematology and Developmental and Educational Psychology, having authored 11 papers that have together received 978 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (650 citations), Transplantation (22 citations) and Immunology and Allergy (43 citations). Danielle M. Turley has collaborated with scholars based in United States, Thailand and Australia. Frequent 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. Their work appears in journals such as Nature reviews. Immunology, Nature Immunology and The Journal of 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.

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