Daniela F. Quail

19.5k citations
49 papers · 12.5k indexed · 7 hit papers · h-index 27
  • Immunology top 0.2%
    • Immune cells in cancer 22
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
    • Immunotherapy and Immune Responses 7
  • Oncology top 0.2%
    • Cancer Cells and Metastasis 9
    • Cancer Immunotherapy and Biomarkers 9
    • Cancer, Hypoxia, and Metabolism 6
  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment 10
  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Daniela F. Quail

48 papers receiving 12.4k citations

Hit Papers

NETworking with ca...164201320262017202110002.0k3.0k4.0k5.0k

Peers

Daniela F. Quail
Comparison fields: 5 of 143
  • Immunology 5.4k
  • Oncology 5.0k
  • Cancer Research 2.8k
  • Genetics 1.8k
  • Neurology 993
Replace Jason T. Huse with:
Jason T. Huse United States
Xiu‐Wu Bian China
Dan G. Duda United States
Christel Herold‐Mende Germany
Qiulian Wu United States
David G. DeNardo United States
Howard Colman United States
Yuval Shaked Israel
Kristian Pietras Sweden
Richard J. Gilbertson United States
Daniela F. Quail relative to Jason T. Huse United States Jason T. Huse's profile →
Citations per field
00.5×1.5×1.9×
Jason T. Huse · 1×
Citations per year

Countries citing papers authored by Daniela F. Quail

Since Specialization
Citations

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

Fields of papers citing papers by Daniela F. Quail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela F. Quail. 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 Daniela F. Quail. The network helps show where Daniela F. Quail may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniela F. Quail, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela F. Quail Line = papers co-authored together Daniela F. Quail links everyone, so they are left out of the graph.

All Works

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14 2019202
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16 201920
17 2014288
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20 201129

About Daniela F. Quail

Daniela F. Quail is a scholar working on Immunology, Genetics and Oncology, having authored 49 papers that have together received 12.5k indexed citations. Recurring topics across this work include Immune cells in cancer (22 papers), Glioma Diagnosis and Treatment (10 papers), Cancer Cells and Metastasis (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Immunotherapy and Immune Responses (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (5.4k citations), Oncology (5.0k citations) and Cancer Research (2.8k citations). Daniela F. Quail has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Johanna A. Joyce, Robert L. Bowman, Leila Akkari, Andrew J. Dannenberg, Jason T. Huse, Marsha L. Quick, James Sutton, Oakley C. Olson, Alberto J. Schuhmacher and Eric C. Holland. Their work appears in journals such as Science, Nature Medicine and Nature Communications.

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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