Bert Kazemier

1.1k citations
23 papers · 985 · h-index 15

Impact in

  • Pollution top 5%
    • Microbial bioremediation and biosurfactants
    • Microplastics and Plastic Pollution
    • biodegradable polymer synthesis and properties

Papers in

Bert Kazemier

23 papers receiving 946 citations

Peers

Bert Kazemier
Comparison fields: 5 of 79
  • Pollution 329
  • Biomaterials 220
  • Process Chemistry and Technology 36
  • Molecular Biology 616
  • Biochemistry 38
Replace Guy de Roo with:
Guy de Roo Switzerland
Anita Grewal India
Shuyi Yu China
Peter J. Schubert Germany
César A. Ramírez‐Sarmiento Chile
Kento Kita Japan
Eiko Nakagawa Kanaya Japan
Yongkang Liu China
Hans‐Peter Schär Switzerland
Bert Kazemier relative to Guy de Roo Switzerland Guy de Roo's profile →
Citations per field
00.5×1.6×
Guy de Roo · 1×
Citations per year

Countries citing papers authored by Bert Kazemier

Since Specialization
Citations

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

Fields of papers citing papers by Bert Kazemier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991244
2 1989204
3 1992117
4 199169
5 201234
6 201034
7 199632
8 201230
9 199830
10 201025
11 201024
12 199024
13 201120
14 201118
15 199815
16 201113
17 201212
18 199612
19 19888
20 19997

About Bert Kazemier

Bert Kazemier is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Pollution and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 985 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Melanoma and MAPK Pathways (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Enzyme function and inhibition (3 papers), Molecular Sensors and Ion Detection (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Pollution (329 citations), Biomaterials (220 citations), Process Chemistry and Technology (36 citations), Molecular Biology (616 citations) and Biochemistry (38 citations). Bert Kazemier has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Peter Terpstra, Bernard Witholt, Jan van der Ploeg, Dick B. Janssen, Frens Pries, Rob Meima, Gjalt W. Huisman, Henk Engel, Wolfgang Keck and Arjan J. van den Wijngaard. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Bacteriology, Journal of Biological Chemistry, Journal of General Virology and Journal of Immunological Methods.

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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