Marlies de Graaf

108 total papers · 1.7k total citations
62 papers, 846 citations indexed

About

Marlies de Graaf is a scholar working on Dermatology, Immunology and Allergy and Physiology. According to data from OpenAlex, Marlies de Graaf has authored 62 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Dermatology, 34 papers in Immunology and Allergy and 19 papers in Physiology. Recurrent topics in Marlies de Graaf's work include Dermatology and Skin Diseases (41 papers), Allergic Rhinitis and Sensitization (31 papers) and Asthma and respiratory diseases (18 papers). Marlies de Graaf is often cited by papers focused on Dermatology and Skin Diseases (41 papers), Allergic Rhinitis and Sensitization (31 papers) and Asthma and respiratory diseases (18 papers). Marlies de Graaf collaborates with scholars based in Netherlands, United States and Germany. Marlies de Graaf's co-authors include Suzanne G.M.A. Pasmans, Corstiaan C. Breugem, Johannes M. P. J. Breur, Marjolein de Bruin‐Weller, Martine F. Raphaël, Daphne S. Bakker, Celeste M. Boesjes, Marie L. A. Schuttelaar, Judith L. Thijs and Lotte S. Spekhorst and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Molecular Microbiology.

In The Last Decade

Marlies de Graaf

57 papers receiving 833 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marlies de Graaf 337 286 245 166 122 62 846
Sheilagh Maguiness 185 0.5× 482 1.7× 66 0.3× 208 1.3× 45 0.4× 65 1.0k
Marta Feito Rodríguez 403 1.2× 162 0.6× 48 0.2× 66 0.4× 58 0.5× 93 982
Sofianne Gabrielli 159 0.5× 67 0.2× 266 1.1× 68 0.4× 87 0.7× 56 730
Lucero Noguera‐Morel 506 1.5× 181 0.6× 43 0.2× 101 0.6× 32 0.3× 55 846
Kee Chan Moon 536 1.6× 110 0.4× 49 0.2× 64 0.4× 106 0.9× 94 984
Sunil Dhawan 475 1.4× 58 0.2× 84 0.3× 58 0.3× 49 0.4× 41 775
Yuji Fujita 189 0.6× 161 0.6× 153 0.6× 19 0.1× 74 0.6× 62 946
Johanna Stoevesandt 223 0.7× 69 0.2× 315 1.3× 39 0.2× 78 0.6× 59 836
E. M. Higgins 233 0.7× 141 0.5× 63 0.3× 27 0.2× 32 0.3× 42 812
Zilda Najjar Prado de Oliveira 135 0.4× 150 0.5× 29 0.1× 70 0.4× 87 0.7× 53 715

Countries citing papers authored by Marlies de Graaf

Since Specialization
Citations

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

Fields of papers citing papers by Marlies de Graaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlies de Graaf. 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 Marlies de Graaf. The network helps show where Marlies de Graaf may publish in the future.

Co-authorship network of co-authors of Marlies de Graaf

This figure shows the co-authorship network connecting the top 25 collaborators of Marlies de Graaf. A scholar is included among the top collaborators of Marlies de Graaf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marlies de Graaf. Marlies de Graaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026