Ian L. Brown

3.0k total citations
51 papers, 2.2k citations indexed

About

Ian L. Brown is a scholar working on Nutrition and Dietetics, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ian L. Brown has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nutrition and Dietetics, 11 papers in Physiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ian L. Brown's work include Food composition and properties (24 papers), Microbial Metabolites in Food Biotechnology (12 papers) and Diet and metabolism studies (10 papers). Ian L. Brown is often cited by papers focused on Food composition and properties (24 papers), Microbial Metabolites in Food Biotechnology (12 papers) and Diet and metabolism studies (10 papers). Ian L. Brown collaborates with scholars based in Australia, United States and United Kingdom. Ian L. Brown's co-authors include Graeme P. Young, Richard K. Le Leu, Ying Hu, David L. Topping, Anthony R. Bird, Janine Higgins, Patricia L. Conway, Anthony J. Evans, Adrian Esterman and Richard Woodman and has published in prestigious journals such as Nature, Gastroenterology and American Journal of Clinical Nutrition.

In The Last Decade

Ian L. Brown

49 papers receiving 2.0k citations

Peers

Ian L. Brown
Thomas Boileau United States
A. Hosono Japan
Róisín Hughes United Kingdom
H. Kasper Germany
Gerda Dusel Germany
Kent L. Erickson United States
Thomas Boileau United States
Ian L. Brown
Citations per year, relative to Ian L. Brown Ian L. Brown (= 1×) peers Thomas Boileau

Countries citing papers authored by Ian L. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Ian L. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian L. Brown

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

All Works

20 of 20 papers shown
1.
Ramadass, Balamurugan, Srinivasan Pugazhendhi, Gowri Manohari Balachander, et al.. (2019). Effect of Native and Acetylated Dietary Resistant Starches on Intestinal Fermentative Capacity of Normal and Stunted Children in Southern India. International Journal of Environmental Research and Public Health. 16(20). 3922–3922. 7 indexed citations
2.
Alpers, David, Graeme P. Young, Cuong D. Tran, et al.. (2016). Drug-development concepts as guides for optimizing clinical trials of supplemental zinc for populations at risk of deficiency or diarrhea. Nutrition Reviews. 75(3). 147–162. 3 indexed citations
3.
Young, Graeme P., Geetha Gopalsamy, David Alpers, et al.. (2014). Zinc deficiency in children with environmental enteropathy—development of new strategies: report from an expert workshop. American Journal of Clinical Nutrition. 100(4). 1198–1207. 22 indexed citations
4.
Keenan, Michael J., Roy J. Martin, Anne M. Raggio, et al.. (2012). High-Amylose Resistant Starch Increases Hormones and Improves Structure and Function of the Gastrointestinal Tract: A Microarray Study. Lifestyle Genomics. 5(1). 26–44. 46 indexed citations
5.
Higgins, Janine, Matthew R. Jackman, Ian L. Brown, et al.. (2011). Resistant starch and exercise independently attenuate weight regain on a high fat diet in a rat model of obesity. Nutrition & Metabolism. 8(1). 49–49. 38 indexed citations
6.
Leu, Richard K. Le, Ying Hu, Ian L. Brown, & Graeme P. Young. (2009). Effect of high amylose maize starches on colonic fermentation and apoptotic response to DNA-damage in the colon of rats. Nutrition & Metabolism. 6(1). 11–11. 84 indexed citations
7.
Leu, Richard K. Le, Ying Hu, Ian L. Brown, Richard Woodman, & Graeme P. Young. (2009). Synbiotic intervention of Bifidobacterium lactis and resistant starch protects against colorectal cancer development in rats. Carcinogenesis. 31(2). 246–251. 158 indexed citations
8.
Bird, Anthony R., Ross Crittenden, Takashi Hayakawa, et al.. (2008). Comparative Effects of a High-Amylose Starch and a Fructooligosaccharide on Fecal Bifidobacteria Numbers and Short-Chain Fatty Acids in Pigs Fed Bifidobacterium animalis. Digestive Diseases and Sciences. 54(5). 947–954. 47 indexed citations
9.
Bogden, John D., Francis W. Kemp, Abigail E. Huang, et al.. (2008). Bone mineral density and content during weight cycling in female rats: effects of dietary amylase-resistant starch. Nutrition & Metabolism. 5(1). 34–34. 19 indexed citations
10.
Leu, Richard K. Le, Ian L. Brown, Ying Hu, Adrian Esterman, & Graeme P. Young. (2007). Suppression of azoxymethane-induced colon cancer development in rats by dietary resistant starch. Cancer Biology & Therapy. 6(10). 1621–1626. 44 indexed citations
11.
Leu, Richard K. Le, Ian L. Brown, Ying Hu, et al.. (2005). A Synbiotic Combination of Resistant Starch and Bifidobacterium lactis Facilitates Apoptotic Deletion of Carcinogen-Damaged Cells in Rat Colon. Journal of Nutrition. 135(5). 996–1001. 150 indexed citations
12.
Higgins, Janine, et al.. (2004). Resistant starch consumption promotes lipid oxidation. Nutrition & Metabolism. 1(1). 8–8. 127 indexed citations
13.
Leu, Richard K. Le, Ian L. Brown, Ying Hu, & Graeme P. Young. (2003). Effect of resistant starch on genotoxin-induced apoptosis, colonic epithelium, and lumenal contents in rats. Carcinogenesis. 24(8). 1347–1352. 65 indexed citations
14.
Bono, Johann S. de, et al.. (2003). Bilateral testicular cancer: a preventable problem? Experience from a large cancer centre. British Journal of Urology. 92(1). 43–46. 31 indexed citations
15.
Storlien, Leonard H, et al.. (2003). Cooking attenuates the ability of high-amylose meals to reduce plasma insulin concentrations in rats. British Journal Of Nutrition. 90(4). 823–827. 27 indexed citations
16.
Brown, Ian L., et al.. (2002). Manipulation of colonic bacteria and volatile fatty acid production by dietary high amylose maize (amylomaize) starch granules. Journal of Applied Microbiology. 93(3). 390–397. 77 indexed citations
17.
Brown, Ian L., et al.. (1998). High amylose maize starch as a versatile prebiotic for use with probiotic bacteria.. 50(12). 603–610. 36 indexed citations
18.
Thomas, Siep, Ian L. Brown, Graham Hollins, et al.. (1996). Detection and distribution of heat shock proteins 27 and 90 in human benign and malignant prostatic tissue. British Journal of Urology. 77(3). 367–372. 31 indexed citations
19.
Brown, Ian L., et al.. (1995). Hi-maize: new directions in starch technology and nutrition. 47(6). 272–275. 58 indexed citations
20.
Burt, Alastair D., Dale Kerr, Ian L. Brown, & Peter Boyle. (1985). Lymphoid and epithelial markers in small cell anaplastic thyroid tumours.. Journal of Clinical Pathology. 38(8). 893–896. 14 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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