Martin Müller

588 citations
24 papers · 425 indexed · h-index 14
Topics
Pharmaceutical and Antibiotic Environmental Impacts (7 papers)Computational Drug Discovery Methods (5 papers)Pesticide and Herbicide Environmental Studies (5 papers)

In The Last Decade

Martin Müller

24 papers receiving 405 citations

Peers

Martin Müller
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 162
  • Pollution 147
  • Computational Theory and Mathematics 133
  • Environmental Chemistry 66
  • Organic Chemistry 63
Replace S. Bintein with:
S. Bintein Italy
Simon Spycher Switzerland
Jay Tunkel United States
Claudia Cappelli Italy
Julie A. Beauman United States
Julie R. Seward United States
F. Consolaro Italy
Wei C. Qin China
Glendon D. Sinks United States
Nadezhda Dimitrova Bulgaria
Martin Müller relative to S. Bintein Italy S. Bintein's profile →
Citations per field
00.5×
S. Bintein · 1×
Citations per year

Countries citing papers authored by Martin Müller

Since Specialization
Citations

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

Fields of papers citing papers by Martin Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Müller. A scholar is included among the top collaborators of Martin Müller 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 Martin Müller. Martin Müller 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
#WorkIndexed citations
1 1
2 4
3 14
4 19
5 20
6 62
7 26
8 9
9 13
10 9
11 37
12 20
13 29
14 6
15 24
16 32
17 2
18 1
19 3
20 18

About Martin Müller

Martin Müller is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Filtration and Separation, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Computational Drug Discovery Methods (5 papers) and Pesticide and Herbicide Environmental Studies (5 papers). The work is most often cited by research in Pollution (147 citations), Health, Toxicology and Mutagenesis (162 citations) and Computational Theory and Mathematics (133 citations). Martin Müller has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Monika Nendza, W. Klein, Andrea Wenzel, Werner Kördel, Willie J.G.M. Peijnenburg, W. Böhmer, Heinz Rüdel, Annette Fliedner, Christa Schröter‐Kermani and Mathias Ricking. Their work appears in journals such as The Science of The Total Environment, Chemosphere and Pest Management Science.

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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