Danièle Gilbert

2.7k citations
50 papers · 1.6k · h-index 22

Impact in

Papers in

    • T-cell and B-cell Immunology 16
    • Immune Cell Function and Interaction 5
    • Systemic Lupus Erythematosus Research 10
    • Urticaria and Related Conditions 7

Danièle Gilbert

50 papers receiving 1.6k citations

Peers

Danièle Gilbert
Comparison fields: 5 of 79
  • Rheumatology 514
  • Pathology and Forensic Medicine 479
  • Genetics 272
  • Immunology 477
  • Hematology 124
Replace Ron J. Feldman with:
Ron J. Feldman United States
Stéphane Barète France
H.-P. Brezinschek Austria
Sophie Hillion France
B. R. Hawkins Hong Kong
Woodruff Emlen United States
James T. Rosenbaum United States
S B Cohen United Kingdom
Eric Zanelli Netherlands
Gisela Orozco United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Danièle Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Danièle Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011160
2 2006131
3 2002130
4 2009129
5 2009106
6 200890
7 200980
8 199464
9 200559
10 200851
11 201148
12 200843
13 200237
14
Immunoglobulin allotypic specificities in mixed leucocyte cultures.
197335
15 199731
16 200029
17 199124
18 199523
19 199822
20 199322

About Danièle Gilbert

Danièle Gilbert is a scholar working on Immunology, Rheumatology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Autoimmune Bullous Skin Diseases (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Systemic Lupus Erythematosus Research (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Platelet Disorders and Treatments (7 papers), Urticaria and Related Conditions (7 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Rheumatology (514 citations), Pathology and Forensic Medicine (479 citations), Genetics (272 citations), Immunology (477 citations) and Hematology (124 citations). Danièle Gilbert has collaborated with scholars based in France, Tunisia and Sweden. Frequent co-authors include François Tron, Philippe Musette, P. Joly, Hugo Mouquet, Xavier Le Loët, Roland Charlionet, Olivier Vittecoq, A Delpech, Patrice Fardellone and Serge Jacquot. Their work appears in journals such as Journal of Autoimmunity, European Journal of Immunology, Journal of Investigative Dermatology, The Journal of Immunology and Arthritis Research & Therapy.

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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