Danielle Canioni

7.7k citations
80 papers · 2.6k · h-index 30

Impact in

Papers in

Danielle Canioni

77 papers receiving 2.5k citations

Peers

Danielle Canioni
Comparison fields: 5 of 83
  • Immunology 1.0k
  • Pathology and Forensic Medicine 597
  • Gastroenterology 144
  • Transplantation 68
  • Genetics 273
Replace Richard J. Bende with:
Richard J. Bende Netherlands
Jun Taguchi Japan
John Prehn United States
Go Yamamoto Japan
Stephen Adelstein Australia
Morishige Takeshita Japan
Alain Chevailler France
V. Leblond France
C. De Wolf‐Peeters Belgium
Peter Neumeister Austria
Danielle Canioni relative to Richard J. Bende Netherlands Richard J. Bende's profile →
Citations per field
00.5×4.9×
Richard J. Bende · 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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007198
2 2011189
3 2003176
4 2014167
5 1997163
6 2010118
7 2006114
8 2013112
9 199779
10 201375
11 201970
12 200769
13 200755
14 201748
15 201046
16 199543
17 201142
18 200842
19 201241
20 201040

About Danielle Canioni

Danielle Canioni is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Genetics and Surgery, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Viral-associated cancers and disorders (14 papers), Mast cells and histamine (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), Immune Cell Function and Interaction (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Eosinophilic Disorders and Syndromes (5 papers) and Clinical Nutrition and Gastroenterology (5 papers). The work is most often cited by research in Immunology (1.0k citations), Pathology and Forensic Medicine (597 citations), Gastroenterology (144 citations), Transplantation (68 citations) and Genetics (273 citations). Danielle Canioni has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Nicole Brousse, Olivier Hermine, Olivier Goulet, Alain Fischer, Frank M. Ruemmele, Jean‐Laurent Casanova, Felipe Suárez, Florence Lacaille, Elizabeth Macintyre and Cécile Talbotec. Their work appears in journals such as Blood, Inflammatory Bowel Diseases, Journal of Clinical Oncology, 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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