Amber K. Goetz

1.3k total citations
16 papers, 989 citations indexed

About

Amber K. Goetz is a scholar working on Pharmacology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Amber K. Goetz has authored 16 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Amber K. Goetz's work include Pharmacogenetics and Drug Metabolism (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Amber K. Goetz is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Amber K. Goetz collaborates with scholars based in United States, United Kingdom and Netherlands. Amber K. Goetz's co-authors include David J. Dix, Douglas C. Wolf, Hongzu Ren, John C Rockett, Judith E. Schmid, Douglas Β. Tully, Michael G. Narotsky, Inthirany Thillainadarajah, Richard C. Peffer and Chad R. Blystone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

Amber K. Goetz

16 papers receiving 969 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amber K. Goetz United States	14	289	289	279	206	181	16	989
Philip Marx‐Stoelting Germany	23	420 1.5×	219 0.8×	314 1.1×	210 1.0×	232 1.3×	68	1.3k
Sheau‐Fung Thai United States	20	389 1.3×	177 0.6×	170 0.6×	197 1.0×	103 0.6×	30	996
Richard C. Peffer United States	11	198 0.7×	239 0.8×	120 0.4×	146 0.7×	118 0.7×	16	685
Barbara Heinrich-Hirsch Germany	14	190 0.7×	147 0.5×	402 1.4×	310 1.5×	100 0.6×	25	825
Sylvaine Lecoeur France	22	201 0.7×	364 1.3×	213 0.8×	140 0.7×	375 2.1×	29	1.2k
G. Jean Horbach Netherlands	20	380 1.3×	234 0.8×	182 0.7×	247 1.2×	143 0.8×	45	1.0k
Atsushi Hakura Japan	20	499 1.7×	85 0.3×	185 0.7×	552 2.7×	211 1.2×	63	1.1k
Khawja A. Usmani United States	13	157 0.5×	298 1.0×	136 0.5×	80 0.4×	246 1.4×	19	802
Stefanie Hessel‐Pras Germany	19	447 1.5×	257 0.9×	152 0.5×	115 0.6×	125 0.7×	53	933
Michel Kranendonk Portugal	19	392 1.4×	449 1.6×	62 0.2×	143 0.7×	92 0.5×	44	1.0k

Countries citing papers authored by Amber K. Goetz

Since Specialization

Citations

This map shows the geographic impact of Amber K. Goetz'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 Amber K. Goetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber K. Goetz more than expected).

Fields of papers citing papers by Amber K. Goetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber K. Goetz. 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 Amber K. Goetz. The network helps show where Amber K. Goetz may publish in the future.

Co-authorship network of co-authors of Amber K. Goetz

This figure shows the co-authorship network connecting the top 25 collaborators of Amber K. Goetz. A scholar is included among the top collaborators of Amber K. Goetz 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 Amber K. Goetz. Amber K. Goetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Goetz, Amber K., et al.. (2024). Assessing human carcinogenicity risk of agrochemicals without the rodent cancer bioassay. SHILAP Revista de lepidopterología. 6. 1394361–1394361. 2 indexed citations

North, Colin M., Janine Ezendam, Jon A. Hotchkiss, et al.. (2016). Developing a framework for assessing chemical respiratory sensitization: A workshop report. Regulatory Toxicology and Pharmacology. 80. 295–309. 38 indexed citations

Friedman, Katie Paul, Sabitha Papineni, M. Sue Marty, et al.. (2016). A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study. Critical Reviews in Toxicology. 46(9). 785–833. 33 indexed citations

Currie, A, Richard C. Peffer, Amber K. Goetz, Curtis J. Omiecinski, & Jay I. Goodman. (2014). Phenobarbital and propiconazole toxicogenomic profiles in mice show major similarities consistent with the key role that constitutive androstane receptor (CAR) activation plays in their mode of action. Toxicology. 321. 80–88. 28 indexed citations

Elcombe, Clifford R., Richard C. Peffer, Douglas C. Wolf, et al.. (2013). Mode of action and human relevance analysis for nuclear receptor-mediated liver toxicity: A case study with phenobarbital as a model constitutive androstane receptor (CAR) activator. Critical Reviews in Toxicology. 44(1). 64–82. 216 indexed citations

Goetz, Amber K., et al.. (2011). Current and future use of genomics data in toxicology: Opportunities and challenges for regulatory applications. Regulatory Toxicology and Pharmacology. 61(2). 141–153. 27 indexed citations

Goetz, Amber K. & David J. Dix. (2009). Mode of Action for Reproductive and Hepatic Toxicity Inferred from a Genomic Study of Triazole Antifungals. Toxicological Sciences. 110(2). 449–462. 89 indexed citations

Goetz, Amber K., John C Rockett, Hongzu Ren, Inthirany Thillainadarajah, & David J. Dix. (2009). Inhibition of Rat and Human Steroidogenesis by Triazole Antifungals. Systems Biology in Reproductive Medicine. 55(5-6). 214–226. 42 indexed citations

Goetz, Amber K. & David J. Dix. (2009). Toxicogenomic effects common to triazole antifungals and conserved between rats and humans. Toxicology and Applied Pharmacology. 238(1). 80–89. 61 indexed citations

10.

Tully, Douglas Β., Wenjun Bao, Amber K. Goetz, et al.. (2006). Gene expression profiling in liver and testis of rats to characterize the toxicity of triazole fungicides. Toxicology and Applied Pharmacology. 215(3). 260–273. 97 indexed citations

11.

Goetz, Amber K., Wenjun Bao, Hongzu Ren, et al.. (2006). Gene expression profiling in the liver of CD-1 mice to characterize the hepatotoxicity of triazole fungicides. Toxicology and Applied Pharmacology. 215(3). 274–284. 56 indexed citations

12.

Rockett, John C, Michael G. Narotsky, Kary E. Thompson, et al.. (2006). Effect of conazole fungicides on reproductive development in the female rat. Reproductive Toxicology. 22(4). 647–658. 53 indexed citations

13.

Sun, Guobin, Sheau‐Fung Thai, Guy R. Lambert, et al.. (2006). Fluconazole-induced hepatic cytochrome P450 gene expression and enzymatic activities in rats and mice. Toxicology Letters. 164(1). 44–53. 39 indexed citations

14.

Goetz, Amber K., Hongzu Ren, Judith E. Schmid, et al.. (2006). Disruption of Testosterone Homeostasis as a Mode of Action for the Reproductive Toxicity of Triazole Fungicides in the Male Rat. Toxicological Sciences. 95(1). 227–239. 118 indexed citations

15.

Bao, Wenjun, Judith E. Schmid, Amber K. Goetz, Hongzu Ren, & David J. Dix. (2004). A database for tracking toxicogenomic samples and procedures. Reproductive Toxicology. 19(3). 411–419. 6 indexed citations

16.

Sun, Guobin, Sheau‐Fung Thai, Douglas Β. Tully, et al.. (2004). Propiconazole-induced cytochrome P450 gene expression and enzymatic activities in rat and mouse liver. Toxicology Letters. 155(2). 277–287. 84 indexed citations

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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