Sonja Kazmer
- Molecular Biology top 5%
- Genetics top 2%
- Biochemistry top 0.5%
- Immunology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Gary AllenbyJoseph F. GrippoJ SpeckAllen LoveyArthur A. LevinLaurie J. SturzenbeckerThomas BosakowskiMichael Rosenberger
- Topics
- Retinoids in leukemia and cellular processes (8 papers)Estrogen and related hormone effects (7 papers)Carcinogens and Genotoxicity Assessment (6 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Sonja Kazmer
18 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.8k
- Genetics 1.0k
- Biochemistry 570
- Immunology 260
- Cellular and Molecular Neuroscience 244
Countries citing papers authored by Sonja Kazmer
This map shows the geographic impact of Sonja Kazmer'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 Sonja Kazmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Kazmer more than expected).
Fields of papers citing papers by Sonja Kazmer
This network shows the impact of papers produced by Sonja Kazmer. 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 Sonja Kazmer. The network helps show where Sonja Kazmer may publish in the future.
Co-authorship network of co-authors of Sonja Kazmer
This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Kazmer. A scholar is included among the top collaborators of Sonja Kazmer 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 Sonja Kazmer. Sonja Kazmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Cell-based screening approach for antitumor drug leads which exploits sensitivity differences between normal and cancer cells: identification of two novel cell-cycle inhibitors. | 13 |
| 3 | 4 | |
| 4 | 57 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 46 | |
| 8 | 99 | |
| 9 | Retinoic acid receptors and retinoid X receptors: interactions with endogenous retinoic acids.breakdown → | 642 |
| 10 | 9-Cis retinoic acid stereoisomer binds and activates the nuclear receptor RXRαbreakdown → | 1090 |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | An analysis of weak mutagens in the Ames assay. | 8 |
| 15 | 22 | |
| 16 | 31 | |
| 17 | 11 | |
| 18 | 7 |
About Sonja Kazmer
Sonja Kazmer is a scholar working on Cancer Research, Biochemistry and Genetics, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). The work is most often cited by research in Biochemistry (570 citations), Genetics (1.0k citations) and Molecular Biology (1.8k citations). Sonja Kazmer has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gary Allenby, Joseph F. Grippo, J Speck, Allen Lovey, Arthur A. Levin, Laurie J. Sturzenbecker, Thomas Bosakowski, Michael Rosenberger, Christine Huselton and M. Rosenberger. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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.