Brad Saville

1.3k total citations
7 papers, 1.0k citations indexed

About

Brad Saville is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Brad Saville has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Brad Saville's work include Estrogen and related hormone effects (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Inflammatory mediators and NSAID effects (1 paper). Brad Saville is often cited by papers focused on Estrogen and related hormone effects (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Inflammatory mediators and NSAID effects (1 paper). Brad Saville collaborates with scholars based in United States and Sweden. Brad Saville's co-authors include Stephen Safe, Mark Wormke, Thu Annelise Nguyen, Fan Wang, George G. J. M. Kuiper, Eva Enmark, Jan-Ακε Gustafsson, Matthew Stoner, Weili Wang and Kevin W. Gaido and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and FEBS Letters.

In The Last Decade

Brad Saville

7 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brad Saville United States	7	618	488	226	194	133	7	1.0k
Debie J. Hoivik United States	14	387 0.6×	530 1.1×	170 0.8×	252 1.3×	178 1.3×	25	1.1k
Sergio Abonante Italy	17	573 0.9×	499 1.0×	172 0.8×	275 1.4×	257 1.9×	19	1.2k
Karen E. Weis United States	10	660 1.1×	323 0.7×	130 0.6×	146 0.8×	64 0.5×	19	907
Eli V. Hestermann United States	9	513 0.8×	965 2.0×	341 1.5×	243 1.3×	317 2.4×	12	1.6k
Marco Pupo Italy	10	463 0.7×	330 0.7×	148 0.7×	164 0.8×	136 1.0×	10	782
John D. Obourn United States	10	489 0.8×	372 0.8×	113 0.5×	174 0.9×	53 0.4×	12	710
Quentin Felty United States	17	304 0.5×	604 1.2×	187 0.8×	158 0.8×	212 1.6×	49	1.2k
Lidia Albanito Italy	8	653 1.1×	476 1.0×	71 0.3×	217 1.1×	118 0.9×	8	961
Maureen G. Mancini United States	15	568 0.9×	839 1.7×	142 0.6×	159 0.8×	99 0.7×	31	1.2k
Johanna Zilliacus Sweden	22	417 0.7×	580 1.2×	231 1.0×	103 0.5×	123 0.9×	49	1.2k

Countries citing papers authored by Brad Saville

Since Specialization

Citations

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

Fields of papers citing papers by Brad Saville

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad Saville. 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 Brad Saville. The network helps show where Brad Saville may publish in the future.

Co-authorship network of co-authors of Brad Saville

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Stoner, Matthew, Mark Wormke, Brad Saville, et al.. (2003). Estrogen regulation of vascular endothelial growth factor gene expression in ZR-75 breast cancer cells through interaction of estrogen receptor α and SP proteins. Oncogene. 23(5). 1052–1063. 117 indexed citations

2.

Kim, Kyounghyun, et al.. (2003). Domains of Estrogen Receptor α (ERα) Required for ERα/Sp1-Mediated Activation of GC-Rich Promoters by Estrogens and Antiestrogens in Breast Cancer Cells. Molecular Endocrinology. 17(5). 804–817. 85 indexed citations

3.

Safe, Stephen, Kyungsil Yoon, Kevin W. Gaido, et al.. (2001). Toxicology of environmental estrogens. Reproduction Fertility and Development. 13(4). 307–315. 84 indexed citations

4.

Saville, Brad, Mark Wormke, Fan Wang, et al.. (2000). Ligand-, Cell-, and Estrogen Receptor Subtype (α/β)-dependent Activation at GC-rich (Sp1) Promoter Elements. Journal of Biological Chemistry. 275(8). 5379–5387. 329 indexed citations

5.

Wormke, Mark, Matthew Stoner, Brad Saville, & Stephen Safe. (2000). Crosstalk between estrogen receptor α and the aryl hydrocarbon receptor in breast cancer cells involves unidirectional activation of proteasomes. FEBS Letters. 478(1-2). 109–112. 91 indexed citations

6.

Gaido, Kevin W., Linda S. Leonard, Susan C. Maness, et al.. (1999). Differential Interaction of the Methoxychlor Metabolite 2,2-Bis-(p-Hydroxyphenyl)-1,1,1-Trichloroethane with Estrogen Receptors α and β1. Endocrinology. 140(12). 5746–5753. 165 indexed citations

7.

Wang, Weili, et al.. (1999). Transcriptional Activation of E2F1 Gene Expression by 17β-Estradiol in MCF-7 Cells Is Regulated by NF-Y-Sp1/Estrogen Receptor Interactions. Molecular Endocrinology. 13(8). 1373–1387. 150 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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