Nadine M. Brown

5.4k total citations · 2 hit papers
20 papers, 4.3k citations indexed

About

Nadine M. Brown is a scholar working on Pathology and Forensic Medicine, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Nadine M. Brown has authored 20 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 13 papers in Genetics and 8 papers in Nutrition and Dietetics. Recurrent topics in Nadine M. Brown's work include Phytoestrogen effects and research (17 papers), Digestive system and related health (7 papers) and Estrogen and related hormone effects (5 papers). Nadine M. Brown is often cited by papers focused on Phytoestrogen effects and research (17 papers), Digestive system and related health (7 papers) and Estrogen and related hormone effects (5 papers). Nadine M. Brown collaborates with scholars based in United States, Australia and Italy. Nadine M. Brown's co-authors include Kenneth D.R. Setchell, James E. Heubi, Brian Wolfe, Linda Zimmer-Nechemias, Wayne T. Brashear, Pankaj B. Desai, Aedín Cassidy, Coral A. Lamartiniere, Stephen Barnes and Roger Thompson and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Agricultural and Food Chemistry and Environmental Health Perspectives.

In The Last Decade

Nadine M. Brown

20 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Clinical Importance of the Metabolite Equol—A Clue to the Effectiveness of Soy and Its Isoflavones

2002 960 citations Kenneth D.R. Setchell, Nadine M. Brown et al. Journal of Nutrition profile →
Bioavailability of Pure Isoflavones in Healthy Humans and Analysis of Commercial Soy Isoflavone Supplements

2001 761 citations Kenneth D.R. Setchell, Nadine M. Brown et al. Journal of Nutrition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadine M. Brown United States	17	3.4k	1.4k	1.3k	992	870	20	4.3k
Linda Zimmer-Nechemias United States	14	2.2k 0.6×	870 0.6×	905 0.7×	658 0.7×	565 0.6×	16	3.1k
T. Fotsis Finland	19	2.2k 0.7×	1.1k 0.8×	682 0.5×	675 0.7×	1.0k 1.2×	20	3.6k
Brian Wolfe United States	11	1.9k 0.6×	629 0.5×	802 0.6×	630 0.6×	529 0.6×	12	2.5k
Neil F. Shay United States	26	1.3k 0.4×	516 0.4×	1.2k 1.0×	774 0.8×	668 0.8×	65	3.2k
Catherine Bennetau‐Pelissero France	26	1.2k 0.4×	699 0.5×	465 0.4×	351 0.4×	726 0.8×	67	2.5k
Clinton D. Allred United States	27	1.1k 0.3×	928 0.7×	320 0.3×	338 0.3×	912 1.0×	57	2.7k
Giovanna Caderni Italy	32	719 0.2×	486 0.4×	639 0.5×	207 0.2×	1.5k 1.7×	113	3.6k
Oldřich Lapčı́k Czechia	23	676 0.2×	349 0.3×	213 0.2×	399 0.4×	472 0.5×	75	1.7k
Fumihiko Horio Japan	30	476 0.1×	293 0.2×	826 0.7×	846 0.9×	1.5k 1.7×	118	4.4k
Mayte Blay Spain	39	438 0.1×	161 0.1×	838 0.7×	798 0.8×	1.5k 1.7×	113	4.5k

Countries citing papers authored by Nadine M. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Nadine M. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadine M. Brown

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

All Works

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20 of 20 papers shown

Brown, Nadine M., Suzanne Summer, Xueheng Zhao, et al.. (2014). S-(−)equol production is developmentally regulated and related to early diet composition. Nutrition Research. 34(5). 401–409. 22 indexed citations

Thigpen, J E, Kenneth D.R. Setchell, Grace E. Kissling, et al.. (2013). The estrogenic content of rodent diets, bedding, cages, and water bottles and its effect on bisphenol A studies.. PubMed. 52(2). 130–41. 58 indexed citations

Setchell, Kenneth D.R., Nadine M. Brown, Linda Zimmer-Nechemias, et al.. (2013). Metabolism of secoisolariciresinol-diglycoside the dietary precursor to the intestinally derived lignan enterolactone in humans. Food & Function. 5(3). 491–501. 66 indexed citations

Summer, Suzanne, et al.. (2013). Cross-Border Use of Food Databases: Equivalence of US and Australian Databases for Macronutrients. Journal of the Academy of Nutrition and Dietetics. 113(10). 1340–1345. 8 indexed citations

Setchell, Kenneth D.R., Nadine M. Brown, Xueheng Zhao, et al.. (2011). Soy isoflavone phase II metabolism differs between rodents and humans: implications for the effect on breast cancer risk. American Journal of Clinical Nutrition. 94(5). 1284–1294. 87 indexed citations

Brown, Nadine M., et al.. (2011). Impact of perinatal exposure to equol enantiomers on reproductive development in rodents. Reproductive Toxicology. 32(1). 33–42. 14 indexed citations

Brown, Nadine M., Linda Zimmer-Nechemias, Xueheng Zhao, et al.. (2010). The chemopreventive action of equol enantiomers in a chemically induced animal model of breast cancer. Carcinogenesis. 31(5). 886–893. 54 indexed citations

Setchell, Kenneth D.R., Xueheng Zhao, Pinky Jha, James E. Heubi, & Nadine M. Brown. (2009). The pharmacokinetic behavior of the soy isoflavone metabolite S-(-)equol and its diastereoisomer R-(+)equol in healthy adults determined by using stable-isotope-labeled tracers. American Journal of Clinical Nutrition. 90(4). 1029–1037. 76 indexed citations

Setchell, Kenneth D.R., Amnon Brzezinski, Nadine M. Brown, et al.. (2005). Pharmacokinetics of a Slow-Release Formulation of Soybean Isoflavones in Healthy Postmenopausal Women. Journal of Agricultural and Food Chemistry. 53(6). 1938–1944. 28 indexed citations

10.

Setchell, Kenneth D.R., Carlo Clerici, Edwin D. Lephart, et al.. (2005). S-Equol, a potent ligand for estrogen receptor β, is the exclusive enantiomeric form of the soy isoflavone metabolite produced by human intestinal bacterial flora1–4,. American Journal of Clinical Nutrition. 81(5). 1072–1079. 364 indexed citations

11.

Setchell, Kenneth D.R., Nadine M. Brown, Pankaj B. Desai, et al.. (2003). Bioavailability, Disposition, and Dose-Response Effects of Soy Isoflavones When Consumed by Healthy Women at Physiologically Typical Dietary Intakes. Journal of Nutrition. 133(4). 1027–1035. 242 indexed citations

12.

Setchell, Kenneth D.R., Marian S. Faughnan, Tony Avades, et al.. (2003). Comparing the pharmacokinetics of daidzein and genistein with the use of 13C-labeled tracers in premenopausal women. American Journal of Clinical Nutrition. 77(2). 411–419. 253 indexed citations

13.

Setchell, Kenneth D.R., Nadine M. Brown, Linda Zimmer-Nechemias, et al.. (2002). Evidence for lack of absorption of soy isoflavone glycosides in humans, supporting the crucial role of intestinal metabolism for bioavailability. American Journal of Clinical Nutrition. 76(2). 447–453. 468 indexed citations

14.

Setchell, Kenneth D.R., et al.. (2002). The Clinical Importance of the Metabolite Equol—A Clue to the Effectiveness of Soy and Its Isoflavones. Journal of Nutrition. 132(12). 3577–3584. 960 indexed citations breakdown →

15.

Setchell, Kenneth D.R., Nadine M. Brown, Pankaj B. Desai, et al.. (2001). Bioavailability of Pure Isoflavones in Healthy Humans and Analysis of Commercial Soy Isoflavone Supplements. Journal of Nutrition. 131(4). 1362S–1375S. 761 indexed citations breakdown →

16.

Brown, Nadine M. & Kenneth D.R. Setchell. (2001). Animal Models Impacted by Phytoestrogens in Commercial Chow: Implications for Pathways Influenced by Hormones. Laboratory Investigation. 81(5). 735–747. 244 indexed citations

17.

Brown, Nadine M., et al.. (1998). Prepubertal genistein treatment modulates TGF-α, EGF and EGF-receptor mRNAs and proteins in the rat mammary gland. Molecular and Cellular Endocrinology. 144(1-2). 149–165. 56 indexed citations

18.

Brown, Nadine M., et al.. (1996). MOLECULAR EPIDEMIOLOGY AND CANCER PREVENTION: Prepubertal genistein exposure suppresses mammary cancer and enhances gland differentiation in rats. Carcinogenesis. 17(7). 1451–1457. 273 indexed citations

19.

Lamartiniere, Coral A., et al.. (1995). Genistein suppresses mammary cancer in rats. Carcinogenesis. 16(11). 2833–2840. 271 indexed citations

20.

Brown, Nadine M. & Coral A. Lamartiniere. (1995). Xenoestrogens Alter Mammary Gland Differentiation and Cell Proliferation in the Rat. Environmental Health Perspectives. 103(7/8). 708–708. 13 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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