Hans Pruijt

131 total papers · 3.6k total citations
76 papers, 2.3k citations indexed

About

Hans Pruijt is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Hans Pruijt has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 13 papers in Immunology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Hans Pruijt's work include Cell Adhesion Molecules Research (8 papers), Immunotherapy and Immune Responses (8 papers) and Immune Response and Inflammation (7 papers). Hans Pruijt is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), Immunotherapy and Immune Responses (8 papers) and Immune Response and Inflammation (7 papers). Hans Pruijt collaborates with scholars based in Netherlands, Belgium and Austria. Hans Pruijt's co-authors include V.E.P.P. Lemmens, Roel Willemze, Willem E. Fibbe, Ghislain Opdenakker, I. J. D. Lindley, Yvette van Kooyk, Carl G. Figdor, Lonneke V. van de Poll‐Franse, G.J. Creemers and J.W.W. Coebergh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hans Pruijt

74 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Hans Pruijt 860 454 362 348 340 76 2.3k
Barry Anderson 817 0.9× 91 0.2× 213 0.6× 208 0.6× 343 1.0× 91 3.3k
Sandeep Mahajan 477 0.6× 224 0.5× 140 0.4× 128 0.4× 540 1.6× 118 2.4k
Paulo S. Pinheiro 1.5k 1.7× 56 0.1× 673 1.9× 372 1.1× 71 0.2× 130 3.1k
Dan Lü 847 1.0× 76 0.2× 225 0.6× 113 0.3× 386 1.1× 67 2.4k
Robert C. Stuart 731 0.8× 37 0.1× 554 1.5× 782 2.2× 55 0.2× 79 2.0k
Stephanie Williams 857 1.0× 781 1.7× 184 0.5× 126 0.4× 237 0.7× 107 2.5k
Eamonn Molloy 452 0.5× 98 0.2× 827 2.3× 125 0.4× 373 1.1× 63 2.4k
Wen Liu‐Mares 396 0.5× 200 0.4× 251 0.7× 249 0.7× 128 0.4× 33 1.8k
Karen King 1.1k 1.3× 40 0.1× 276 0.8× 341 1.0× 58 0.2× 56 2.5k
Gilles Tremblay 533 0.6× 81 0.2× 274 0.8× 120 0.3× 78 0.2× 95 1.8k

Countries citing papers authored by Hans Pruijt

Since Specialization
Citations

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

Fields of papers citing papers by Hans Pruijt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Pruijt

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