Andrea-Nicole Richarz
- Health, Toxicology and Mutagenesis top 5%
- Computational Theory and Mathematics top 2%
- Small Animals top 2%
- Molecular Biology
- Environmental Chemistry top 10%
- Co-authors
- M CroninP. BrätterAndrew WorthT.W. SchultzAlicia PainiChristian WolfAndreas PrangeStephanie K. Bopp
- Topics
- Computational Drug Discovery Methods (16 papers)Animal testing and alternatives (9 papers)Effects and risks of endocrine disrupting chemicals (8 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Andrea-Nicole Richarz
27 papers receiving 804 citations
Peers
Comparison fields: 5 of 110
- Health, Toxicology and Mutagenesis 310
- Computational Theory and Mathematics 232
- Small Animals 181
- Molecular Biology 102
- Environmental Chemistry 100
Countries citing papers authored by Andrea-Nicole Richarz
This map shows the geographic impact of Andrea-Nicole Richarz'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 Andrea-Nicole Richarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea-Nicole Richarz more than expected).
Fields of papers citing papers by Andrea-Nicole Richarz
This network shows the impact of papers produced by Andrea-Nicole Richarz. 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 Andrea-Nicole Richarz. The network helps show where Andrea-Nicole Richarz may publish in the future.
Co-authorship network of co-authors of Andrea-Nicole Richarz
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea-Nicole Richarz. A scholar is included among the top collaborators of Andrea-Nicole Richarz 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 Andrea-Nicole Richarz. Andrea-Nicole Richarz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 144 | |
| 3 | 27 | |
| 4 | 42 | |
| 5 | 25 | |
| 6 | 11 | |
| 7 | 43 | |
| 8 | 43 | |
| 9 | 28 | |
| 10 | 10 | |
| 11 | 72 | |
| 12 | 8 | |
| 13 | 71 | |
| 14 | 16 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 44 | |
| 20 | 80 |
About Andrea-Nicole Richarz
Andrea-Nicole Richarz is a scholar working on Chemical Health and Safety, Small Animals and Computational Theory and Mathematics, having authored 28 papers that have together received 822 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Animal testing and alternatives (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). The work is most often cited by research in Chemical Health and Safety (32 citations), Small Animals (181 citations) and Health, Toxicology and Mutagenesis (310 citations). Andrea-Nicole Richarz has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include M Cronin, P. Brätter, Andrew Worth, T.W. Schultz, Alicia Paini, Christian Wolf, Andreas Prange, Stephanie K. Bopp, Nikolaos Parissis and Aude Kienzler. Their work appears in journals such as The Analyst, Toxicology and Analytical and Bioanalytical Chemistry.
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.