Wim Pierson

28 total papers · 2.0k total citations
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, Shimpei Kawamoto, Devina Divekar, Sau K. Lee, Laura Beaton, Sidonia Fagarasan, Axel Kallies, Tim F. Rayner and Monika Srivastava 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 regulat... 2011 2026 2016 2021 2011 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Wim Pierson 1.3k 205 204 103 94 15 1.6k
K N Clifford 1.6k 1.2× 283 1.4× 250 1.2× 90 0.9× 116 1.2× 10 1.9k
Devina Divekar 991 0.8× 181 0.9× 148 0.7× 76 0.7× 56 0.6× 10 1.3k
KA Smith 1.1k 0.8× 332 1.6× 238 1.2× 104 1.0× 114 1.2× 15 1.6k
Beth Graf 838 0.6× 175 0.9× 156 0.8× 92 0.9× 77 0.8× 17 1.3k
Louis M. Tsai 1.2k 0.9× 225 1.1× 156 0.8× 78 0.8× 131 1.4× 7 1.5k
Lissa R. Herron 934 0.7× 333 1.6× 160 0.8× 132 1.3× 44 0.5× 17 1.5k
Ulf Korthäuer 1.5k 1.1× 287 1.4× 301 1.5× 137 1.3× 93 1.0× 14 1.7k
Jennifer J. Hogan 1.7k 1.3× 201 1.0× 250 1.2× 144 1.4× 61 0.6× 6 2.0k
Hoyong Lim 1.1k 0.8× 139 0.7× 158 0.8× 95 0.9× 35 0.4× 16 1.3k
Gale E. Ginther Luce 1.1k 0.9× 265 1.3× 190 0.9× 95 0.9× 42 0.4× 12 1.7k

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

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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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