Maud Plantinga

3.6k citations
33 papers · 2.5k indexed · 1 hit paper · h-index 20
Topics
Immunotherapy and Immune Responses (15 papers)Immune Cell Function and Interaction (9 papers)T-cell and B-cell Immunology (9 papers)

In The Last Decade

Maud Plantinga

32 papers receiving 2.5k citations

Hit Papers

Conventional and Monocyte-Derived CD11b+ Dendritic Cells ...20132026201720212013200400600

Peers

Maud Plantinga
Comparison fields: 5 of 97
  • Immunology 1.7k
  • Physiology 818
  • Immunology and Allergy 391
  • Molecular Biology 327
  • Surgery 308
Replace Motoyasu Iikura with:
Motoyasu Iikura Japan
Alison Budelsky United States
Pornpimon Angkasekwinai Thailand
Mousa Komai‐Koma United Kingdom
Satoshi Matsukura Japan
Véronique Flamand Belgium
Jennifer Kearley United States
Björn R. Lúdvíksson Iceland
Ingrid M. Bergen Netherlands
Daniëlle Hijdra Netherlands
Maud Plantinga relative to Motoyasu Iikura Japan Motoyasu Iikura's profile →
Citations per field
00.5×1.5×2.2×
Motoyasu Iikura · 1×
Citations per year

Countries citing papers authored by Maud Plantinga

Since Specialization
Citations

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

Fields of papers citing papers by Maud Plantinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Plantinga

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Plantinga. A scholar is included among the top collaborators of Maud Plantinga 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 Maud Plantinga. Maud Plantinga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 5
4 1
5 9
6 4
7 11
8 13
9 49
10 67
11 66
12 24
13 14
14
Conventional and Monocyte-Derived CD11b+ Dendritic Cells Initiate and Maintain T Helper 2 Cell-Mediated Immunity to House Dust Mite Allergenbreakdown →
710
15 69
16 76
17 147
18 57
19 466
20 54

About Maud Plantinga

Maud Plantinga is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Immunology (1.7k citations), Immunology and Allergy (391 citations) and Physiology (818 citations). Maud Plantinga has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Bart N. Lambrecht, Hamida Hammad, Kim Deswarte, Monique Willart, Mirjam Kool, Martin Guilliams, Manon Vanheerswynghels, Bernard Malissen, Katrijn Neyt and Leen Vanhoutte. Their work appears in journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

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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