Ron Kusters

68 papers receiving 2.0k citations

Peers

Ron Kusters
Comparison fields: 5 of 139
  • Endocrinology 122
  • Genetics 567
  • Applied Microbiology and Biotechnology 28
  • Molecular Biology 887
  • Health Informatics 16
Replace Nicole Mayer-Hamblett with:
Nicole Mayer-Hamblett United States
Hettie M. Janssens Netherlands
Miriam Stegemann Germany
Leif Erik Sander Germany
Margaret E. Hodson United Kingdom
Harriet Corvol France
Hee Kyoung Choi South Korea
Alexandra Schäfer United States
Taia T. Wang United States
Hideaki Kato Japan
Ron Kusters relative to Nicole Mayer-Hamblett United States Nicole Mayer-Hamblett's profile →
Citations per field
00.5×
Nicole Mayer-Hamblett · 1×
Citations per year

Countries citing papers authored by Ron Kusters

Since Specialization
Citations

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

Fields of papers citing papers by Ron Kusters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012250
2 1995240
3 1994223
4 2014150
5 1991139
6 198963
7 199454
8 199353
9 201452
10 201952
11 199052
12 200646
13 199544
14 202043
15 201542
16 202139
17 199235
18 201634
19 200331
20 201729

About Ron Kusters

Ron Kusters is a scholar working on Molecular Biology, Genetics, Epidemiology, Cardiology and Cardiovascular Medicine and Physiology, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (7 papers), Clinical Laboratory Practices and Quality Control (7 papers), Acute Myocardial Infarction Research (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Lipid Membrane Structure and Behavior (5 papers), Sepsis Diagnosis and Treatment (4 papers) and Healthcare cost, quality, practices (4 papers). The work is most often cited by research in Endocrinology (122 citations), Genetics (567 citations), Applied Microbiology and Biotechnology (28 citations), Molecular Biology (887 citations) and Health Informatics (16 citations). Ron Kusters has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ben de Kruijff, Joen Luirink, Bauke Oudega, Stephen High, Peter C. Wever, Eugenie Gemen, Cornelis P. C. de Jager, Maarten J. IJzerman, William Dowhan and Hendrik Koffijberg. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of Biological Chemistry, PLoS ONE and Primary Health Care Research & Development.

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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