Gerard van Mierlo

64 total papers · 1.5k total citations
37 papers, 730 citations indexed

About

Gerard van Mierlo is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Gerard van Mierlo has authored 37 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 9 papers in Genetics and 9 papers in Hematology. Recurrent topics in Gerard van Mierlo's work include Complement system in diseases (17 papers), Immune Response and Inflammation (6 papers) and Erythrocyte Function and Pathophysiology (6 papers). Gerard van Mierlo is often cited by papers focused on Complement system in diseases (17 papers), Immune Response and Inflammation (6 papers) and Erythrocyte Function and Pathophysiology (6 papers). Gerard van Mierlo collaborates with scholars based in Netherlands, Switzerland and United Kingdom. Gerard van Mierlo's co-authors include Taco W. Kuijpers, C. Erik Hack, C. Erik Hack, Sacha Zeerleder, Ronald de Groot, Wim C.J. Hop, Marja H. Suur, A. J. M. Eerenberg, L Aarden and Ilse Jongerius and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Gerard van Mierlo

36 papers receiving 712 citations

Author Peers

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

Author Last Decade Papers Cites
Gerard van Mierlo 407 192 157 116 100 37 730
M Schlesinger 325 0.8× 149 0.8× 167 1.1× 100 0.9× 121 1.2× 32 672
Yasir Alhamdi 341 0.8× 273 1.4× 193 1.2× 88 0.8× 27 0.3× 22 826
Menachem Schlesinger 355 0.9× 113 0.6× 62 0.4× 127 1.1× 42 0.4× 30 737
Y. Shoenfeld 274 0.7× 179 0.9× 85 0.5× 143 1.2× 23 0.2× 38 843
Lillemor Skattum 569 1.4× 135 0.7× 65 0.4× 251 2.2× 47 0.5× 40 843
Katrine Pilely 437 1.1× 102 0.5× 186 1.2× 94 0.8× 15 0.1× 32 797
A.J. van Houte 198 0.5× 97 0.5× 180 1.1× 84 0.7× 33 0.3× 32 624
Donald J. Phillips 168 0.4× 281 1.5× 144 0.9× 192 1.7× 186 1.9× 32 758
A.G. Sjöholm 488 1.2× 129 0.7× 66 0.4× 191 1.6× 127 1.3× 29 699
M. R. Daha 346 0.9× 53 0.3× 216 1.4× 155 1.3× 31 0.3× 30 859

Countries citing papers authored by Gerard van Mierlo

Since Specialization
Citations

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

Fields of papers citing papers by Gerard van Mierlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard van Mierlo. 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 Gerard van Mierlo. The network helps show where Gerard van Mierlo may publish in the future.

Co-authorship network of co-authors of Gerard van Mierlo

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard van Mierlo. A scholar is included among the top collaborators of Gerard van Mierlo 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 Gerard van Mierlo. Gerard van Mierlo 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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