Mélissa Dullaers

5.0k citations
45 papers · 3.6k indexed · 1 hit paper · h-index 29

Mélissa Dullaers

44 papers receiving 3.6k citations

Hit Papers

Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Foll...1.2k20112026201620214008001.2k

Peers

Mélissa Dullaers
Comparison fields: 5 of 108
  • Immunology 2.5k
  • Immunology and Allergy 293
  • Virology 177
  • Transplantation 82
  • Oncology 524
Replace S. Cindy with:
S. Cindy Australia
Norimitsu Kadowaki Japan
Gregorio Aversa France
Charlotte M. Proby United Kingdom
Chantal Rabourdin‐Combe France
Béatrice Vanbervliet France
Danielle T. Avery Australia
Sem Saeland France
Ramon Arens Netherlands
Smina Aït‐Yahia France
Mélissa Dullaers relative to S. Cindy Australia S. Cindy's profile →
Citations per field
00.5×1.5×2.2×
S. Cindy · 1×
Citations per year

Countries citing papers authored by Mélissa Dullaers

Since Specialization
Citations

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

Fields of papers citing papers by Mélissa Dullaers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202417
2 20231
3 202116
4 201862
5 201830
6 20189
7
Probiotics-impregnated bedding covers in house dust mite allergic rhinitis patients : a double-blind, randomised, placebo-controlled, crossover clinical trial
20171
8 2017110
9 201722
10 201794
11 201442
12 20144
13 2013123
14 2012141
15
Human Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretionbreakdown →
20111209
16 201132
17 20091
18 200738
19 200540
20 200581

About Mélissa Dullaers

Mélissa Dullaers is a scholar working on Immunology, Immunology and Allergy and Otorhinolaryngology, having authored 45 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), RNA Interference and Gene Delivery (11 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Asthma and respiratory diseases (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (2.5k citations), Immunology and Allergy (293 citations) and Virology (177 citations). Mélissa Dullaers has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Jacques Banchereau, Gérard Zurawski, SangKon Oh, Rimpei Morita, Hideki Ueno, Virginia Pascual, Kris Thielemans, Bart N. Lambrecht, Laure Bourdery and Emile Foucat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

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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