M. van Pomeren

10 total papers · 487 total citations
7 papers, 385 citations indexed

About

M. van Pomeren is a scholar working on Health, Toxicology and Mutagenesis, Plant Science and Materials Chemistry. According to data from OpenAlex, M. van Pomeren has authored 7 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 3 papers in Plant Science and 3 papers in Materials Chemistry. Recurrent topics in M. van Pomeren's work include Environmental Toxicology and Ecotoxicology (3 papers), Nanoparticles: synthesis and applications (3 papers) and Toxic Organic Pollutants Impact (2 papers). M. van Pomeren is often cited by papers focused on Environmental Toxicology and Ecotoxicology (3 papers), Nanoparticles: synthesis and applications (3 papers) and Toxic Organic Pollutants Impact (2 papers). M. van Pomeren collaborates with scholars based in Netherlands, Denmark and Sweden. M. van Pomeren's co-authors include Martina G. Vijver, Willie J.G.M. Peijnenburg, Nadja R. Brun, Jessica Legradi, Juliette Legler, Naoill Abdellaoui, William K. Cornwell, Johannes H. C. Cornelissen, Richard S. P. van Logtestijn and S.J.T. van Noort and has published in prestigious journals such as Chemosphere, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

M. van Pomeren

7 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
M. van Pomeren 171 125 108 86 57 7 385
Caterina Porcino 162 0.9× 68 0.5× 140 1.3× 20 0.2× 47 0.8× 15 376
Mélanie Blanc 174 1.0× 30 0.2× 156 1.4× 36 0.4× 64 1.1× 15 352
Boontida Uapipatanakul 58 0.3× 101 0.8× 115 1.1× 30 0.3× 36 0.6× 9 382
Sarah McCarrick 43 0.3× 106 0.8× 133 1.2× 36 0.4× 34 0.6× 16 340
Dandan Tian 239 1.4× 68 0.5× 118 1.1× 27 0.3× 73 1.3× 17 399
Yinhang Jia 90 0.5× 66 0.5× 158 1.5× 25 0.3× 56 1.0× 12 397
Adrislaine S. Mansano 168 1.0× 99 0.8× 234 2.2× 10 0.1× 28 0.5× 15 414
Yoseop Lee 208 1.2× 88 0.7× 118 1.1× 6 0.1× 38 0.7× 22 376
Hannes Reinwald 230 1.3× 46 0.4× 119 1.1× 9 0.1× 37 0.6× 11 363
Wu Dong 117 0.7× 21 0.2× 242 2.2× 29 0.3× 52 0.9× 25 444

Countries citing papers authored by M. van Pomeren

Since Specialization
Citations

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

Fields of papers citing papers by M. van Pomeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. van Pomeren. 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 M. van Pomeren. The network helps show where M. van Pomeren may publish in the future.

Co-authorship network of co-authors of M. van Pomeren

This figure shows the co-authorship network connecting the top 25 collaborators of M. van Pomeren. A scholar is included among the top collaborators of M. van Pomeren 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 M. van Pomeren. M. van Pomeren 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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