Siegfried Knasmueller

65 papers receiving 3.3k citations

Peers

Siegfried Knasmueller
Comparison fields: 5 of 149
  • Chemical Health and Safety 84
  • Cancer Research 1.4k
  • Health, Toxicology and Mutagenesis 939
  • Pollution 460
  • Biochemistry 168
Replace Armen Nersesyan with:
Armen Nersesyan Austria
Günter Speit Germany
Massimo Moretti Italy
Nevenka Kopjar Croatia
Goran Gajski Croatia
Volker Mersch‐Sundermann Germany
Daisy Maria Fávero Salvadori Brazil
Youichi Miyamae Japan
Brian Burlinson United Kingdom
Silvia Fustinoni Italy
Siegfried Knasmueller relative to Armen Nersesyan Austria Armen Nersesyan's profile →
Citations per field
00.5×1.5×1.9×
Armen Nersesyan · 1×
Citations per year

Countries citing papers authored by Siegfried Knasmueller

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Knasmueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siegfried Knasmueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siegfried Knasmueller Line = papers co-authored together Siegfried Knasmueller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009473
2 2008458
3 2005259
4 2013171
5 2010152
6 2016131
7 2012119
8 2016111
9 2020104
10 201584
11 201983
12 201464
13 201663
14 201062
15 201460
16 201758
17 200658
18 201051
19 201350
20 201549

About Siegfried Knasmueller

Siegfried Knasmueller is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Plant Science and Pollution, having authored 66 papers that have together received 3.4k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (44 papers), Effects and risks of endocrine disrupting chemicals (14 papers), DNA Repair Mechanisms (7 papers), Air Quality and Health Impacts (6 papers), Genetically Modified Organisms Research (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Chemical Health and Safety (84 citations), Cancer Research (1.4k citations), Health, Toxicology and Mutagenesis (939 citations), Pollution (460 citations) and Biochemistry (168 citations). Siegfried Knasmueller has collaborated with scholars based in Austria, Italy and Australia. Frequent co-authors include Michael Fenech, Claudia Bolognesi, Stefano Bonassi, Nina Holland, Micheline Kirsch‐Volders, Armen Nersesyan, Errol Zeiger, Miroslav Mišík, Philip Thomas and Michael Kundi. Their work appears in journals such as Mutation Research/Reviews in Mutation Research, Mutagenesis, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, International Journal of Hygiene and Environmental Health and Archives of Toxicology.

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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