Eva Gottmann
Impact in
- Chemical Health and Safety top 10%
- Pollution top 10%
- Heavy metals in environment
Papers in
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- Computational Drug Discovery Methods 7
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- Carcinogens and Genotoxicity Assessment 5
- Co-authors
- Christoph Helma (9 shared papers)Bernhard Pfahringer (6 shared papers)Siegfried Knasmüller (3 shared papers)Hans Steinkellner (3 shared papers)Michael Kundi (1 shared paper)Anette Fomin (1 shared paper)Albrecht Paschke (1 shared paper)Christina Pickl (1 shared paper)
In The Last Decade
Eva Gottmann
9 papers receiving 385 citations
Peers
Comparison fields: 5 of 87
- Chemical Health and Safety 7
- Pollution 121
- Health, Toxicology and Mutagenesis 135
- Cancer Research 121
- Small Animals 31
Countries citing papers authored by Eva Gottmann
This map shows the geographic impact of Eva Gottmann'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 Eva Gottmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gottmann more than expected).
Fields of papers citing papers by Eva Gottmann
This network shows the impact of papers produced by Eva Gottmann. 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 Eva Gottmann. The network helps show where Eva Gottmann may publish in the future.
Co-authors
The 17 scholars most cited alongside Eva Gottmann, 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 | 1998 | 207 | |
| 2 | 2001 | 94 | |
| 3 | 1998 | 41 | |
| 4 | 2000 | 40 | |
| 5 | 2000 | 18 | |
| 6 | Investigations on genotoxic effects of groundwater from the Mitterndorfer Senke and from the vicinity of Wiener Neustadt. | 1998 | 9 |
| 7 | 2001 | 8 | |
| 8 | 2000 | 2 | |
| 9 | Data Quality Issues in Toxicological Knowledge Discovery | 1999 | 2 |
| 10 | 2000 | 0 |
About Eva Gottmann
Eva Gottmann is a scholar working on Computational Theory and Mathematics, Cancer Research, Spectroscopy, Molecular Biology and Pollution, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Analytical Chemistry and Chromatography (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Statistical and Computational Modeling (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Environmental Toxicology and Ecotoxicology (1 paper) and Pharmaceutical and Antibiotic Environmental Impacts (1 paper). The work is most often cited by research in Chemical Health and Safety (7 citations), Pollution (121 citations), Health, Toxicology and Mutagenesis (135 citations), Cancer Research (121 citations) and Small Animals (31 citations). Eva Gottmann has collaborated with scholars based in Austria and Germany. Frequent co-authors include Christoph Helma, Bernhard Pfahringer, Siegfried Knasmüller, Hans Steinkellner, Michael Kundi, Anette Fomin, Albrecht Paschke, Christina Pickl, Stefan Krämer and Stefan Krämer. Their work appears in journals such as Environmental Health Perspectives, Statistical Methods in Medical Research, Environmental Science & Technology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and PubMed.
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.