Walter Pouwels

32 total papers · 820 total citations
16 papers, 608 citations indexed

About

Walter Pouwels is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Walter Pouwels has authored 16 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Walter Pouwels's work include Immune Cell Function and Interaction (6 papers), Receptor Mechanisms and Signaling (3 papers) and T-cell and B-cell Immunology (3 papers). Walter Pouwels is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Receptor Mechanisms and Signaling (3 papers) and T-cell and B-cell Immunology (3 papers). Walter Pouwels collaborates with scholars based in Netherlands, Germany and United Kingdom. Walter Pouwels's co-authors include Jörg Hamann, Mark J. Kwakkenbos, Siamon Gordon, Marco van Eijk, Nathalie Koning, Mourad Matmati, Robert M. Hoek, Martin Stacey, René A. W. van Lier and Hsi‐Hsien Lin and has published in prestigious journals such as Cancer Research, The FASEB Journal and British Journal of Pharmacology.

In The Last Decade

Walter Pouwels

16 papers receiving 600 citations

Author Peers

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

Author						Papers	Cites
Walter Pouwels	333	247	77	77	76	16	608
Shiho Kodama	250 0.8×	126 0.5×	102 1.3×	73 0.9×	63 0.8×	17	568
Vadim Tchaikovski	279 0.8×	131 0.5×	106 1.4×	77 1.0×	28 0.4×	11	514
Matthias Vockel	387 1.2×	161 0.7×	78 1.0×	66 0.9×	49 0.6×	10	671
Mario Vallon	303 0.9×	80 0.3×	60 0.8×	55 0.7×	90 1.2×	17	541
Ruth Washington	165 0.5×	181 0.7×	70 0.9×	78 1.0×	47 0.6×	14	587
Zhen Geng	261 0.8×	122 0.5×	104 1.4×	65 0.8×	136 1.8×	14	563
Niels Heemskerk	251 0.8×	180 0.7×	83 1.1×	40 0.5×	18 0.2×	14	514
Peter J. Noy	389 1.2×	99 0.4×	119 1.5×	96 1.2×	24 0.3×	17	621
Harry Holzmüller	324 1.0×	99 0.4×	57 0.7×	91 1.2×	79 1.0×	11	595
Samantha K. Wheller	410 1.2×	372 1.5×	80 1.0×	113 1.5×	17 0.2×	9	637

Countries citing papers authored by Walter Pouwels

Since Specialization

Citations

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

Fields of papers citing papers by Walter Pouwels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Pouwels

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Pouwels. A scholar is included among the top collaborators of Walter Pouwels 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 Walter Pouwels. Walter Pouwels 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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