Danielle Canioni

7.7k citations
79 papers · 2.4k · h-index 28

Impact in

Papers in

    • Mast cells and histamine 14
    • Immune Cell Function and Interaction 10
    • Immunodeficiency and Autoimmune Disorders 9
    • Viral-associated cancers and disorders 22

Danielle Canioni

76 papers receiving 2.4k citations

Peers

Danielle Canioni
Comparison fields: 5 of 85
  • Immunology 1.1k
  • Pathology and Forensic Medicine 635
  • Transplantation 92
  • Genetics 333
  • Hepatology 207
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Danielle Canioni relative to Henrik Zetterquist Sweden Henrik Zetterquist's profile →
Citations per field
00.5×10×17×
Henrik Zetterquist · 1×
Citations per year

Countries citing papers authored by Danielle Canioni

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Canioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Canioni, 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 Danielle Canioni Line = papers co-authored together Danielle Canioni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007191
2 2011171
3 2003162
4 2014153
5 1997152
6 2006112
7 2010111
8 2013103
9 201371
10 199770
11 200766
12 201961
13 200753
14 201743
15 201241
16 199541
17 201039
18 201138
19 200837
20 200235

About Danielle Canioni

Danielle Canioni is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Genetics and Surgery, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (25 papers), Viral-associated cancers and disorders (22 papers), Chronic Lymphocytic Leukemia Research (15 papers), Mast cells and histamine (14 papers), Immune Cell Function and Interaction (10 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Eosinophilic Disorders and Syndromes (6 papers) and Clinical Nutrition and Gastroenterology (6 papers). The work is most often cited by research in Immunology (1.1k citations), Pathology and Forensic Medicine (635 citations), Transplantation (92 citations), Genetics (333 citations) and Hepatology (207 citations). Danielle Canioni has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Nicole Brousse, Olivier Hermine, Olivier Goulet, Alain Fischer, Frank M. Ruemmele, Jean‐Laurent Casanova, Elizabeth Macintyre, Felipe Suárez, Florence Lacaille and Gilles Salles. Their work appears in journals such as Blood, Journal of Clinical Oncology, Inflammatory Bowel Diseases, American Journal of Transplantation and PLoS ONE.

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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