Erik Van Miert

586 total citations
21 papers, 466 citations indexed

About

Erik Van Miert is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Erik Van Miert has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Computational Theory and Mathematics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Erik Van Miert's work include Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Air Quality and Health Impacts (3 papers). Erik Van Miert is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Air Quality and Health Impacts (3 papers). Erik Van Miert collaborates with scholars based in France, Belgium and United States. Erik Van Miert's co-authors include Alfred Bernard, Patrick Vanscheeuwijck, Philippe Azam, Andreas Bosio, Kay Hofmann, Stephan Gebel, Gilles Marcou, Alexandre Varnek, Filippo Lunghini and Thomas Müller and has published in prestigious journals such as The Science of The Total Environment, European Respiratory Journal and Genomics.

In The Last Decade

Erik Van Miert

21 papers receiving 452 citations

Peers

Erik Van Miert
Comparison fields: 5 of 94
  • Health, Toxicology and Mutagenesis 164
  • Physiology 111
  • Cancer Research 100
  • Pulmonary and Respiratory Medicine 97
  • Molecular Biology 65
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Eian D. Massey United Kingdom
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Stefan Lebrun Switzerland
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Frazer Lowe United Kingdom View profile →
Citations per field, relative to Erik Van Miert
Erik Van Miert · 1×
Citations per year, relative to Erik Van Miert
Erik Van Miert · 1×

Countries citing papers authored by Erik Van Miert

Since Specialization
Citations

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

Fields of papers citing papers by Erik Van Miert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Van Miert. 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 Erik Van Miert. The network helps show where Erik Van Miert may publish in the future.

Co-authorship network of co-authors of Erik Van Miert

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Van Miert. A scholar is included among the top collaborators of Erik Van Miert 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 Erik Van Miert. Erik Van Miert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 18
2 1
3 2
4 5
5 3
6 22
7 3
8 15
9 28
10 5
11 19
12 32
13 31
14 57
15 13
16 15
17 25
18 34
19 83
20 54

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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