Stephan Kirchner
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Chemical Health and Safety top 5%
Papers in
-
- DNA Repair Mechanisms 4
- Mitochondrial Function and Pathology 2
-
- Carcinogens and Genotoxicity Assessment 7
- Co-authors
- Silvio Albertini (6 shared papers)Takeshi Morita (1 shared paper)Toshio Sofuni (1 shared paper)Marilyn J. Aardema (1 shared paper)David A. Eastmond (1 shared paper)Jordi Surrallés (1 shared paper)Michael Fenech (1 shared paper)Elisabeth Lorge (1 shared paper)
- Journals
- Mutation Research/Genetic Toxicology and Environmental Mutagenesis (5 papers)Toxicology Letters (2 papers)Mutagenesis (2 papers)PLoS Computational Biology (1 paper)Pathobiology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stephan Kirchner
18 papers receiving 922 citations
Stephan Kirchner's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 449
- Chemical Health and Safety 17
- Health, Toxicology and Mutagenesis 228
- Small Animals 77
- Computational Theory and Mathematics 153
Countries citing papers authored by Stephan Kirchner
This map shows the geographic impact of Stephan Kirchner'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 Stephan Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Kirchner more than expected).
Fields of papers citing papers by Stephan Kirchner
This network shows the impact of papers produced by Stephan Kirchner. 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 Stephan Kirchner. The network helps show where Stephan Kirchner may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Kirchner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Report from the in vitro micronucleus assay working group Hit paper breakdown → | 2003 | 510 |
| 2 | 2008 | 142 | |
| 3 | 2000 | 74 | |
| 4 | 1995 | 69 | |
| 5 | 2009 | 41 | |
| 6 | 1998 | 33 | |
| 7 | 1993 | 19 | |
| 8 | 2011 | 14 | |
| 9 | 2008 | 14 | |
| 10 | 1993 | 12 | |
| 11 | 1998 | 10 | |
| 12 | 2010 | 9 | |
| 13 | 1995 | 7 | |
| 14 | 1995 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 1994 | 4 | |
| 17 | 2008 | 3 | |
| 18 | [Clinical significance of tumor suppressor gene p53 in head and neck tumors]. | 1997 | 1 |
About Stephan Kirchner
Stephan Kirchner is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Plant Science and Computational Theory and Mathematics, having authored 18 papers that have together received 972 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), DNA Repair Mechanisms (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Genetically Modified Organisms Research (3 papers), Computational Drug Discovery Methods (2 papers), Mitochondrial Function and Pathology (2 papers), Cutaneous Melanoma Detection and Management (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Cancer Research (449 citations), Chemical Health and Safety (17 citations), Health, Toxicology and Mutagenesis (228 citations), Small Animals (77 citations) and Computational Theory and Mathematics (153 citations). Stephan Kirchner has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Silvio Albertini, Takeshi Morita, Toshio Sofuni, Marilyn J. Aardema, David A. Eastmond, Jordi Surrallés, Michael Fenech, Elisabeth Lorge, Motoi Ishidate and Hannu Norppa. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Toxicology Letters, Mutagenesis, PLoS Computational Biology and Pathobiology.
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.