Wim Pierson

2.0k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Wim Pierson is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Wim Pierson has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Wim Pierson's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (7 papers). Wim Pierson is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (7 papers). Wim Pierson collaborates with scholars based in Belgium, United States and United Kingdom. Wim Pierson's co-authors include Michelle A. Linterman, Adrian Liston, Axel Kallies, Monika Srivastava, Kenneth G. C. Smith, Sidonia Fagarasan, Sau K. Lee, Devina Divekar, Tim F. Rayner and Shimpei Kawamoto and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Psychological Bulletin.

In The Last Decade

Wim Pierson

13 papers receiving 1.5k citations

Hit Papers

Foxp3+ follicular regulatory T cells control the germinal... 2011 2026 2016 2021 2011 250 500 750

Peers

Wim Pierson
Comparison fields: 5 of 77
  • Immunology 1.3k
  • Molecular Biology 207
  • Oncology 204
  • Genetics 103
  • Cancer Research 95
Hoyong Lim United States
Dario Magaletti United States
Keisuke Horikawa Australia
Mindi Walker United States
Ziaur S. M. Rahman United States
Stephen B. Gauld United States
Barbara J. Vilen United States
Christiane Siewert Germany
Paul Vink Netherlands
Jan Kubach Germany
Hoyong Lim United States View profile →
Citations per field, relative to Wim Pierson
Wim Pierson · 1×
Citations per year, relative to Wim Pierson
Wim Pierson · 1×

Countries citing papers authored by Wim Pierson

Since Specialization
Citations

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

Fields of papers citing papers by Wim Pierson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Pierson

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 9
3 2
4 0
5 4
6 44
7 56
8 116
9 178
10 10
11
Foxp3(+) follicular regulatory T cells control the germinal centre response
2
12
Foxp3( ) follicular regulatory T cells control T follicular helper cells and the germinal centre response
4
13 151
14
Foxp3+ follicular regulatory T cells control the germinal center response breakdown →
979
15 3

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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