Keith M. Goldstein

435 total citations
14 papers, 308 citations indexed

About

Keith M. Goldstein is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Keith M. Goldstein has authored 14 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Oncology. Recurrent topics in Keith M. Goldstein's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (3 papers). Keith M. Goldstein is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (3 papers). Keith M. Goldstein collaborates with scholars based in United States, Netherlands and India. Keith M. Goldstein's co-authors include James Stevens, Jeffrey J. Sutherland, Peining Chen, Shuguang Huang, Robert A. Jolly, Jianfen Lu, Sunil Nagpal, Lawrence M. Gelbert, George H. Searfoss and Timothy P. Ryan and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Journal of Investigative Dermatology.

In The Last Decade

Keith M. Goldstein

13 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith M. Goldstein United States	10	154	51	46	28	27	14	308
James F. Reindel United States	11	170 1.1×	36 0.7×	22 0.5×	58 2.1×	13 0.5×	18	390
Heike Marxfeld Germany	8	112 0.7×	15 0.3×	47 1.0×	50 1.8×	41 1.5×	20	315
Kiyean Nam United States	11	237 1.5×	70 1.4×	43 0.9×	37 1.3×	11 0.4×	24	458
Shen-Jue Chen United States	9	93 0.6×	21 0.4×	36 0.8×	26 0.9×	16 0.6×	14	254
Karissa Adkins United States	11	98 0.6×	21 0.4×	44 1.0×	53 1.9×	8 0.3×	22	269
Xuhui Feng China	8	167 1.1×	16 0.3×	59 1.3×	104 3.7×	7 0.3×	15	397
J. H. Stoltz United States	7	78 0.5×	18 0.4×	20 0.4×	17 0.6×	8 0.3×	8	191
Kumar Parijat Tripathi Italy	10	188 1.2×	21 0.4×	33 0.7×	158 5.6×	7 0.3×	20	420
Takao Nagoya Japan	10	175 1.1×	15 0.3×	25 0.5×	42 1.5×	59 2.2×	26	421
Qianhui Dou United States	9	277 1.8×	10 0.2×	93 2.0×	36 1.3×	17 0.6×	11	520

Countries citing papers authored by Keith M. Goldstein

Since Specialization

Citations

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

Fields of papers citing papers by Keith M. Goldstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith M. Goldstein. 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 Keith M. Goldstein. The network helps show where Keith M. Goldstein may publish in the future.

Co-authorship network of co-authors of Keith M. Goldstein

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

All Works

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14 of 14 papers shown

Kunnen, Steven J., Jeffrey J. Sutherland, Panuwat Trairatphisan, et al.. (2025). Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation. iScience. 28(7). 112978–112978.

Searfoss, George H., et al.. (2018). The Integrated Stress Response Regulates Cell Health of Cardiac Progenitors. Toxicological Sciences. 167(1). 202–210. 6 indexed citations

Sutherland, Jeffrey J., Yue Webster, Jeffrey A. Willy, et al.. (2017). Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity. The Pharmacogenomics Journal. 18(3). 377–390. 64 indexed citations

Sutherland, Jeffrey J., Robert A. Jolly, Keith M. Goldstein, & James Stevens. (2016). Assessing Concordance of Drug-Induced Transcriptional Response in Rodent Liver and Cultured Hepatocytes. PLoS Computational Biology. 12(3). e1004847–e1004847. 37 indexed citations

Goldstein, Keith M., David E. Seyler, Philippe Durand, Marie‐Hélène Perrard, & Thomas K. Baker. (2016). Use of a rat ex-vivo testis culture method to assess toxicity of select known male reproductive toxicants. Reproductive Toxicology. 60. 92–103. 17 indexed citations

Zamek‐Gliszczynski, Maciej J., et al.. (2013). Minor Compensatory Changes in SAGE Mdr1a (P-gp), Bcrp, and Mrp2 Knockout Rats Do Not Detract from Their Utility in the Study of Transporter-Mediated Pharmacokinetics. Drug Metabolism and Disposition. 41(6). 1174–1178. 17 indexed citations

Breslin, William J., et al.. (2013). The Inhibin B (InhB) Response to the Testicular Toxicants Mono‐2‐Ethylhexyl Phthalate (MEHP), 1,3 Dinitrobenzene (DNB), or Carbendazim (CBZ) Following Short‐term Repeat Dosing in the Male Rat. Birth Defects Research Part B Developmental and Reproductive Toxicology. 98(1). 72–81. 10 indexed citations

Liu, Jiangang, Robert A. Jolly, Aaron T. Smith, et al.. (2011). Predictive Power Estimation Algorithm (PPEA) - A New Algorithm to Reduce Overfitting for Genomic Biomarker Discovery. PLoS ONE. 6(9). e24233–e24233. 6 indexed citations

Lu, Jianfen, Keith M. Goldstein, Peining Chen, et al.. (2005). Transcriptional Profiling of Keratinocytes Reveals a Vitamin D-Regulated Epidermal Differentiation Network. Journal of Investigative Dermatology. 124(4). 778–785. 58 indexed citations

10.

Wei, Tao, Birong Liao, Brad Ackermann, et al.. (2005). Data-driven analysis approach for biomarker discovery using molecular-profiling technologies. Biomarkers. 10(2-3). 153–172. 9 indexed citations

11.

Jolly, Robert A., Keith M. Goldstein, Tao Wei, et al.. (2005). Pooling samples within microarray studies: a comparative analysis of rat liver transcription response to prototypical toxicants. Physiological Genomics. 22(3). 346–355. 50 indexed citations

12.

Kestler, Daniel P., et al.. (1999). Hematopoietic differentiation activity of a recombinant human interleukin-6 (IL-6) isoform resulting from alternatively spliced deletion of the second exon. American Journal of Hematology. 61(3). 169–177. 11 indexed citations

13.

Hall, Robert E., et al.. (1999). Expression of the monocytic differentiation/activation factor P48 in Mycoplasma species. Microbial Pathogenesis. 27(3). 145–153. 5 indexed citations

14.

Hall, Robert E., et al.. (1996). cDNA and genomic cloning and expression of the P48 monocytic differentiation/activation factor, a Mycoplasma fermentans gene product. Biochemical Journal. 319(3). 919–927. 18 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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