Ron Kusters

75 papers receiving 2.2k citations

Peers

Ron Kusters
Comparison fields: 5 of 141
  • Endocrinology 122
  • Genetics 569
  • Applied Microbiology and Biotechnology 31
  • Health Informatics 21
  • Molecular Biology 891
Replace Nicole Mayer-Hamblett with:
Nicole Mayer-Hamblett United States
Hettie M. Janssens Netherlands
Harriet Corvol France
Margaret E. Hodson United Kingdom
Joby Cole United Kingdom
Preston W. Campbell United States
Jane A. Armstrong United Kingdom
Taraprasad Das India
Hee Kyoung Choi South Korea
Andrea Schulze Germany
Ron Kusters relative to Nicole Mayer-Hamblett United States Nicole Mayer-Hamblett's profile →
Citations per field
00.5×2×4×5.3×
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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012265
2 1995237
3 1994224
4 2014153
5 1991139
6 198963
7 202055
8 201954
9 201454
10 199453
11 199052
12 199352
13 201548
14 200646
15 199544
16 202141
17 202238
18 199235
19 201635
20 200333

About Ron Kusters

Ron Kusters is a scholar working on Family Practice, Genetics, Internal Medicine, Epidemiology and Physiology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Clinical Laboratory Practices and Quality Control (8 papers), RNA and protein synthesis mechanisms (7 papers), Sepsis Diagnosis and Treatment (7 papers), Acute Myocardial Infarction Research (6 papers), Clinical Reasoning and Diagnostic Skills (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Endocrinology (122 citations), Genetics (569 citations), Applied Microbiology and Biotechnology (31 citations), Health Informatics (21 citations) and Molecular Biology (891 citations). Ron Kusters has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ben de Kruijff, Joen Luirink, Stephen High, Bauke Oudega, Peter C. Wever, Eugenie F. A. Gemen, Cornelis P. C. de Jager, Maarten J. IJzerman, Hendrik Koffijberg and William Dowhan. 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 BMC Family Practice.

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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