Sonja Kazmer

2.4k citations
18 papers · 2.1k indexed · 2 hit papers · h-index 12

Sonja Kazmer

18 papers receiving 2.0k citations

Hit Papers

Retinoic acid receptors and retinoid X receptors: interac...64219922026200320142505007501000

Peers

Sonja Kazmer
Comparison fields: 5 of 91
  • Biochemistry 570
  • Genetics 1.0k
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 244
  • Immunology 260
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J Speck United States
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Glenville Jones Canada
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Natacha Shaw United States
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Sonja Kazmer relative to J Speck United States J Speck's profile →
Citations per field
00.5×1.5×
J Speck · 1×
Citations per year

Countries citing papers authored by Sonja Kazmer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Sonja Kazmer, 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 Sonja Kazmer Line = papers co-authored together Sonja Kazmer links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201111
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.
200113
3 19994
4 199657
5 199516
6 19946
7 199446
8 199499
9
Retinoic acid receptors and retinoid X receptors: interactions with endogenous retinoic acids.breakdown →
1993642
10
9-Cis retinoic acid stereoisomer binds and activates the nuclear receptor RXRαbreakdown →
19921090
11 19929
12 19837
13 198114
14
An analysis of weak mutagens in the Ames assay.
19808
15 197722
16 197531
17 197311
18 19737

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), Carcinogens and Genotoxicity Assessment (6 papers), DNA Repair Mechanisms (2 papers), Nuclear Receptors and Signaling (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). 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.

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