B.J. Koopman

677 citations
20 papers · 482 · h-index 13

Impact in

    • Drug Transport and Resistance Mechanisms
  • Hepatology top 10%
    • Liver Diseases and Immunity

Papers in

    • Cholesterol and Lipid Metabolism 8
    • Pediatric Hepatobiliary Diseases and Treatments 4
    • Drug Transport and Resistance Mechanisms 9

B.J. Koopman

19 papers receiving 460 citations

Peers

B.J. Koopman
Comparison fields: 5 of 67
  • Oncology 216
  • Hepatology 55
  • Clinical Biochemistry 44
  • Surgery 286
  • Genetics 39
Replace T Krechler with:
T Krechler Czechia
Harald Torsvik Norway
K Miyai Japan
Richard M. Iammarino United States
D. S. Harry United Kingdom
Alexander Weymann United States
Ichiro Matsuda Japan
An–Qiang Sun United States
Jheem D. Medh United States
Sadako Yamada Japan
B.J. Koopman relative to T Krechler Czechia T Krechler's profile →
Citations per field
00.5×2.7×
T Krechler · 1×
Citations per year

Countries citing papers authored by B.J. Koopman

Since Specialization
Citations

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

Fields of papers citing papers by B.J. Koopman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.J. Koopman. 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 B.J. Koopman. The network helps show where B.J. Koopman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 198382
2 198458
3 198452
4 198942
5 198536
6 198431
7 198731
8 198722
9 198320
10 198719
11 198516
12 198912
13 198812
14 198612
15 198712
16 198611
17 19876
18 19856
19 19862
20 19860

About B.J. Koopman

B.J. Koopman is a scholar working on Surgery, Oncology, Molecular Biology, Epidemiology and Clinical Biochemistry, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Cholesterol and Lipid Metabolism (8 papers), Metabolism and Genetic Disorders (4 papers), Steroid Chemistry and Biochemistry (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Liver Diseases and Immunity (3 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Oncology (216 citations), Hepatology (55 citations), Clinical Biochemistry (44 citations), Surgery (286 citations) and Genetics (39 citations). B.J. Koopman has collaborated with scholars based in Netherlands and Belgium. Frequent co-authors include B.G. Wolthers, J.C. van der Molen, A.E.J. de Jager, Marcel Volmer, G.T. Nagel, Harry Oosterhuis, Herman G. Kreeftenberg, J.R. Huizenga, Chris H. Gips and Ch Gips. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Clinical Neurology and Neurosurgery, Journal of Inherited Metabolic Disease and Clinical Chemistry and Laboratory Medicine (CCLM).

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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