J. E. M. Beurskens

22 total papers · 681 total citations
14 papers, 441 citations indexed

About

J. E. M. Beurskens is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Pharmaceutical Science. According to data from OpenAlex, J. E. M. Beurskens has authored 14 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pollution, 8 papers in Health, Toxicology and Mutagenesis and 4 papers in Pharmaceutical Science. Recurrent topics in J. E. M. Beurskens's work include Microbial bioremediation and biosurfactants (8 papers), Toxic Organic Pollutants Impact (8 papers) and Chemical Reactions and Isotopes (4 papers). J. E. M. Beurskens is often cited by papers focused on Microbial bioremediation and biosurfactants (8 papers), Toxic Organic Pollutants Impact (8 papers) and Chemical Reactions and Isotopes (4 papers). J. E. M. Beurskens collaborates with scholars based in Netherlands. J. E. M. Beurskens's co-authors include Henny van den Heuvel, Bea A. Vrind, Paul C. M. van Noort, Th. E. M. ten Hulscher, H.A.J. Govers, Jan Dolfing, Jan M.D. van der Steen, John R. Parsons, Pieter C. Slot and A. Bachmann and has published in prestigious journals such as Environmental Science & Technology, Environmental Toxicology and Chemistry and Ecotoxicology and Environmental Safety.

In The Last Decade

J. E. M. Beurskens

14 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. E. M. Beurskens 294 277 67 60 60 14 441
A. S. Horowitz 349 1.2× 140 0.5× 43 0.6× 110 1.8× 60 1.0× 10 482
Stefan Cretnik 235 0.8× 207 0.7× 76 1.1× 137 2.3× 70 1.2× 10 430
Neal R. Adrian 291 1.0× 179 0.6× 73 1.1× 114 1.9× 49 0.8× 23 483
Silviu‐Laurentiu Badea 171 0.6× 193 0.7× 35 0.5× 48 0.8× 48 0.8× 21 375
Sarah Hirschorn 185 0.6× 163 0.6× 59 0.9× 62 1.0× 113 1.9× 9 380
Jasperien de Weert 271 0.9× 180 0.6× 61 0.9× 69 1.1× 94 1.6× 12 419
Dora Ogles 303 1.0× 138 0.5× 125 1.9× 80 1.3× 141 2.4× 20 444
Jiřina Macháčková 249 0.8× 132 0.5× 151 2.3× 82 1.4× 85 1.4× 12 441
Frances Z. Parsons 333 1.1× 204 0.7× 125 1.9× 118 2.0× 25 0.4× 11 462
Tamara W. Sheremata 263 0.9× 219 0.8× 34 0.5× 131 2.2× 26 0.4× 8 472

Countries citing papers authored by J. E. M. Beurskens

Since Specialization
Citations

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

Fields of papers citing papers by J. E. M. Beurskens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. M. Beurskens. 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 J. E. M. Beurskens. The network helps show where J. E. M. Beurskens may publish in the future.

Co-authorship network of co-authors of J. E. M. Beurskens

This figure shows the co-authorship network connecting the top 25 collaborators of J. E. M. Beurskens. A scholar is included among the top collaborators of J. E. M. Beurskens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. E. M. Beurskens. J. E. M. Beurskens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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