J.G. Streefkerk

25 total papers · 873 total citations
19 papers, 741 citations indexed

About

J.G. Streefkerk is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, J.G. Streefkerk has authored 19 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in J.G. Streefkerk's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune Response and Inflammation (3 papers) and Peatlands and Wetlands Ecology (2 papers). J.G. Streefkerk is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune Response and Inflammation (3 papers) and Peatlands and Wetlands Ecology (2 papers). J.G. Streefkerk collaborates with scholars based in Netherlands. J.G. Streefkerk's co-authors include D. M. Boorsma, M. van der Ploeg, P. van Duijn, Nico van Rooijen, André M. Deelder, A. Veerman, Piet Eikelenboom, H. R. Van Den Brink, J. M. Papadimitriou and P. Brederoo and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Histochemistry & Cytochemistry and Journal of Immunological Methods.

In The Last Decade

J.G. Streefkerk

19 papers receiving 620 citations

Hit Papers

INHIBITION OF ERYTHROCYTE... 1972 2026 1990 2008 1972 100 200 300

Author Peers

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

Author Last Decade Papers Cites
J.G. Streefkerk 257 179 121 61 60 19 741
Robert Haas 470 1.8× 138 0.8× 102 0.8× 71 1.2× 70 1.2× 19 866
Bernardo Mantovani 216 0.8× 419 2.3× 108 0.9× 69 1.1× 29 0.5× 24 857
Masazumi Terashima 310 1.2× 214 1.2× 65 0.5× 56 0.9× 17 0.3× 22 665
George H. Wirtz 219 0.9× 372 2.1× 125 1.0× 61 1.0× 28 0.5× 33 678
K Valnes 201 0.8× 236 1.3× 83 0.7× 104 1.7× 214 3.6× 32 735
Georgetta Cannon 323 1.3× 314 1.8× 44 0.4× 66 1.1× 28 0.5× 20 725
Henrike Veninga 322 1.3× 466 2.6× 78 0.6× 49 0.8× 38 0.6× 17 789
John A. Hooper 376 1.5× 282 1.6× 128 1.1× 45 0.7× 28 0.5× 20 904
Masayoshi Imagawa 384 1.5× 113 0.6× 214 1.8× 41 0.7× 40 0.7× 14 754
Mead M. McCabe 276 1.1× 131 0.7× 139 1.1× 46 0.8× 21 0.3× 20 878

Countries citing papers authored by J.G. Streefkerk

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Streefkerk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G. Streefkerk. 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 J.G. Streefkerk. The network helps show where J.G. Streefkerk may publish in the future.

Co-authorship network of co-authors of J.G. Streefkerk

This figure shows the co-authorship network connecting the top 25 collaborators of J.G. Streefkerk. A scholar is included among the top collaborators of J.G. Streefkerk 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 J.G. Streefkerk. J.G. Streefkerk 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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