Wouter C. Puijk

2.1k citations
45 papers · 1.7k indexed · h-index 22

Wouter C. Puijk

45 papers receiving 1.6k citations

Peers

Wouter C. Puijk
Comparison fields: 5 of 88
  • Agronomy and Crop Science 198
  • Microbiology 109
  • Radiology, Nuclear Medicine and Imaging 357
  • Molecular Biology 960
  • Virology 66
Replace S J Barteling with:
S J Barteling Czechia
Gary N. Rogers United States
Joe Chiba Japan
Eberhard Pfaff Germany
Richard A. Goldsby United States
Mitchell Gross United States
Prasad Tongaonkar United States
R. Bomford United Kingdom
Ε. Frederick Wheelock United States
K.‐A. Karlsson Sweden
Wouter C. Puijk relative to S J Barteling Czechia S J Barteling's profile →
Citations per field
00.5×1.5×2.1×
S J Barteling · 1×
Citations per year

Countries citing papers authored by Wouter C. Puijk

Since Specialization
Citations

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

Fields of papers citing papers by Wouter C. Puijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter C. Puijk. 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 Wouter C. Puijk. The network helps show where Wouter C. Puijk may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wouter C. Puijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter C. Puijk Line = papers co-authored together Wouter C. Puijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201628
2 20148
3 20123
4 200790
5 2005248
6 200421
7
Peptide transport by the multidrug resistance protein MRP1.
200149
8 200074
9 20002
10 19985
11 19984
12 199853
13 199716
14 199661
15 199616
16 19958
17 199484
18 199136
19 198955
20 198220

About Wouter C. Puijk

Wouter C. Puijk is a scholar working on Radiology, Nuclear Medicine and Imaging, Microbiology, Reproductive Medicine, Virology and Agronomy and Crop Science, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Glycosylation and Glycoproteins Research (6 papers), Enzyme function and inhibition (5 papers), Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (4 papers), Hypothalamic control of reproductive hormones (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Agronomy and Crop Science (198 citations), Microbiology (109 citations), Radiology, Nuclear Medicine and Imaging (357 citations), Molecular Biology (960 citations) and Virology (66 citations). Wouter C. Puijk has collaborated with scholars based in Netherlands, Czechia and United Kingdom. Frequent co-authors include Rob H. Meloen, Peter Timmerman, Gerard H. De Haas, Joris Beld, Jerry W. Slootstra, W.M.M. Schaaper, Jan Langeveld, S J Barteling, A A Thomas and H.M. Verheij. Their work appears in journals such as European Journal of Biochemistry, Biochemistry, Journal of Virology, Molecular Diversity and Journal of Reproductive Immunology.

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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