Paul P. Eijk

3.8k citations
56 papers · 2.6k · h-index 29

Impact in

Papers in

    • Bacterial Infections and Vaccines 20
    • RNA and protein synthesis mechanisms 5
    • Molecular Biology Techniques and Applications 4

Paul P. Eijk

54 papers receiving 2.5k citations

Peers

Paul P. Eijk
Comparison fields: 5 of 108
  • Microbiology 553
  • Cancer Research 397
  • Oncology 496
  • Epidemiology 491
  • Pulmonary and Respiratory Medicine 457
Replace Ekambar R. Kandimalla with:
Ekambar R. Kandimalla United States
Barry G. Grubbs United States
Jack Sublett United States
Pier Adelchi Ruffini Italy
Loredana Frasca Italy
Michaël Herfs Belgium
Motoaki Yasuda Japan
Charles F. Reich United States
Navjiwan Mann United States
Matthias Eck Germany
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Citations per field
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Citations per year

Countries citing papers authored by Paul P. Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Paul P. Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul P. Eijk. 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 Paul P. Eijk. The network helps show where Paul P. Eijk may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul P. Eijk, 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 Paul P. Eijk Line = papers co-authored together Paul P. Eijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013281
2 2014273
3 2007182
4 2005163
5 2005106
6 199097
7 200977
8 199577
9 198867
10 199761
11 198961
12 201157
13 199456
14 201554
15 199953
16 199051
17 201349
18 200941
19 200940
20 199839

About Paul P. Eijk

Paul P. Eijk is a scholar working on Microbiology, Molecular Biology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (20 papers), Pneumonia and Respiratory Infections (13 papers), Cancer Genomics and Diagnostics (8 papers), Genomic variations and chromosomal abnormalities (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA and protein synthesis mechanisms (5 papers), Complement system in diseases (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Microbiology (553 citations), Cancer Research (397 citations), Oncology (496 citations), Epidemiology (491 citations) and Pulmonary and Respiratory Medicine (457 citations). Paul P. Eijk has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Bauke Ylstra, L van Alphen, H M Jansen, K Groeneveld, H. C. Zanen, Loek van Alphen, J. Dankert, Gerrit A. Meijer, Mark A. van de Wiel and Henk M. Jansen. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, Journal of Clinical Microbiology, Oncogene and Cellular Oncology.

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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