Martin Kappler

1.0k citations
20 papers · 757 indexed · h-index 12
Topics
Carcinogens and Genotoxicity Assessment (6 papers)Air Quality and Health Impacts (4 papers)Toxic Organic Pollutants Impact (4 papers)

In The Last Decade

Martin Kappler

18 papers receiving 741 citations

Peers

Martin Kappler
Comparison fields: 5 of 108
  • Molecular Biology 213
  • Health, Toxicology and Mutagenesis 148
  • Pulmonary and Respiratory Medicine 120
  • Epidemiology 117
  • Neurology 98
Replace Bérengère Villeret with:
Bérengère Villeret France
Stefanie Dichtl Austria
Jason R. Mock United States
Noriko Ogasawara Japan
Travis Sexton United States
Thierry Pascal Belgium
Hyunwoong Park South Korea
Helen L. Zhang United States
Anita Dreher Switzerland
Daniel Butler United States
Martin Kappler relative to Bérengère Villeret France Bérengère Villeret's profile →
Citations per field
00.5×5.3×
Bérengère Villeret · 1×
Citations per year

Countries citing papers authored by Martin Kappler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kappler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kappler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kappler. A scholar is included among the top collaborators of Martin Kappler 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 Kappler. Martin Kappler 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 0
2 1
3 0
4 1
5 43
6 10
7 38
8 23
9 25
10 30
11 2
12 32
13 53
14 9
15 4
16 107
17 42
18 56
19 166
20 115

About Martin Kappler

Martin Kappler is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Process Chemistry and Technology, having authored 20 papers that have together received 757 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Air Quality and Health Impacts (4 papers) and Toxic Organic Pollutants Impact (4 papers). The work is most often cited by research in Molecular Medicine (79 citations), Health, Toxicology and Mutagenesis (148 citations) and Neurology (98 citations). Martin Kappler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Burkhard Springer, Michel Pletschette, Peter Sander, Therdsak Prammananan, Erik C. Böttger, Thomas Brüning, Beate Pesch, Derek Atkins, Victor‐Felix Mautner and Stephan Störkel. Their work appears in journals such as Neurology, Cancer Research and Journal of Virology.

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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