Jaap Wieling

34 total papers · 1.0k total citations
21 papers, 652 citations indexed

About

Jaap Wieling is a scholar working on Immunology, Pharmacology and Pharmacology. According to data from OpenAlex, Jaap Wieling has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Pharmacology and 5 papers in Pharmacology. Recurrent topics in Jaap Wieling's work include Biosimilars and Bioanalytical Methods (7 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Jaap Wieling is often cited by papers focused on Biosimilars and Bioanalytical Methods (7 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Jaap Wieling collaborates with scholars based in Netherlands, United States and Germany. Jaap Wieling's co-authors include J. H. G. Jonkman, Theo de Boer, B. Oosterhuis, Wim J. Tamminga, Dick de Zeeuw, L.F.M.H. de Leij, J. Wemer, Bob Wilffert, Daan J. Touw and Peter Dogterom and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and Clinical Pharmacology & Therapeutics.

In The Last Decade

Jaap Wieling

21 papers receiving 602 citations

Author Peers

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

Author Last Decade Papers Cites
Jaap Wieling 155 152 145 134 121 21 652
Eugene Ivashkiv 107 0.7× 64 0.4× 170 1.2× 109 0.8× 145 1.2× 33 655
Daisy B. Whigan 202 1.3× 52 0.3× 129 0.9× 83 0.6× 173 1.4× 22 632
Richard W. Edom 263 1.7× 57 0.4× 97 0.7× 76 0.6× 188 1.6× 23 558
P. V. Macrae 197 1.3× 108 0.7× 202 1.4× 118 0.9× 107 0.9× 16 618
J. De Graeve 103 0.7× 137 0.9× 80 0.6× 58 0.4× 167 1.4× 42 768
David B. Haughey 51 0.3× 120 0.8× 58 0.4× 128 1.0× 123 1.0× 34 611
Maria Paula Marques 186 1.2× 157 1.0× 151 1.0× 130 1.0× 81 0.7× 63 769
Haiyung Cheng 101 0.7× 142 0.9× 125 0.9× 103 0.8× 108 0.9× 40 738
Tausif Monif 132 0.9× 73 0.5× 220 1.5× 168 1.3× 91 0.8× 85 670
Arshad Khuroo 119 0.8× 59 0.4× 195 1.3× 151 1.1× 95 0.8× 72 601

Countries citing papers authored by Jaap Wieling

Since Specialization
Citations

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

Fields of papers citing papers by Jaap Wieling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaap Wieling

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