Richard S. Bruno

6.3k total citations
141 papers, 4.9k citations indexed

About

Richard S. Bruno is a scholar working on Biochemistry, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Richard S. Bruno has authored 141 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biochemistry, 40 papers in Physiology and 40 papers in Nutrition and Dietetics. Recurrent topics in Richard S. Bruno's work include Antioxidant Activity and Oxidative Stress (35 papers), Tea Polyphenols and Effects (25 papers) and Liver Disease Diagnosis and Treatment (22 papers). Richard S. Bruno is often cited by papers focused on Antioxidant Activity and Oxidative Stress (35 papers), Tea Polyphenols and Effects (25 papers) and Liver Disease Diagnosis and Treatment (22 papers). Richard S. Bruno collaborates with scholars based in United States, India and South Korea. Richard S. Bruno's co-authors include Maret G. Traber, Eunice Mah, Yi Guo, Hea Jin Park, Sung I. Koo, Jeff S. Volek, Tammy Μ. Bray, Geoffrey Y. Sasaki, Kevin D. Ballard and Min‐Yu Chung and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Analytical Biochemistry.

In The Last Decade

Richard S. Bruno

138 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard S. Bruno United States 43 1.4k 1.3k 1.0k 932 928 141 4.9k
Goran Bjelaković Serbia 24 990 0.7× 1.0k 0.8× 1.3k 1.2× 821 0.9× 775 0.8× 70 4.9k
Sung I. Koo United States 38 1.2k 0.9× 1.7k 1.3× 1.1k 1.0× 638 0.7× 693 0.7× 108 5.2k
Jean‐François Landrier France 39 1.6k 1.2× 1.2k 0.9× 882 0.8× 863 0.9× 1.4k 1.5× 140 4.9k
Gregory G. Dolnikowski United States 43 2.2k 1.6× 1.2k 0.9× 1.4k 1.3× 528 0.6× 1.0k 1.1× 116 6.1k
Beverly A. Clevidence United States 39 1.0k 0.8× 1.7k 1.3× 1.0k 1.0× 895 1.0× 674 0.7× 78 4.8k
Gemma Chiva‐Blanch Spain 34 1.1k 0.8× 894 0.7× 504 0.5× 780 0.8× 542 0.6× 70 4.1k
Siegfried Wolffram Germany 40 1.7k 1.2× 1.8k 1.4× 769 0.7× 721 0.8× 624 0.7× 113 5.8k
Patrizia Riso Italy 50 2.3k 1.7× 2.9k 2.2× 1.5k 1.5× 707 0.8× 1.2k 1.2× 182 7.6k
Natalie C. Ward Australia 42 1.4k 1.0× 990 0.8× 845 0.8× 456 0.5× 1.1k 1.2× 129 5.5k
Khalid M. Alkharfy Saudi Arabia 42 918 0.7× 399 0.3× 775 0.7× 890 1.0× 642 0.7× 151 5.0k

Countries citing papers authored by Richard S. Bruno

Since Specialization
Citations

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

Fields of papers citing papers by Richard S. Bruno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard S. Bruno. 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 Richard S. Bruno. The network helps show where Richard S. Bruno may publish in the future.

Co-authorship network of co-authors of Richard S. Bruno

This figure shows the co-authorship network connecting the top 25 collaborators of Richard S. Bruno. A scholar is included among the top collaborators of Richard S. Bruno 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 Richard S. Bruno. Richard S. Bruno 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.
Weaver, Connie M., Seth Armah, Richard S. Bruno, et al.. (2025). Perspective: Framework for Developing Prediction Equations for Estimating the Absorption and Bioavailability of Nutrients from Foods. Advances in Nutrition. 16(9). 100481–100481.
3.
Johnson, Elizabeth J., Priyankar Dey, Richard S. Bruno, et al.. (2024). Associations between Brain Alpha-Tocopherol Stereoisomer Profile and Hallmarks of Brain Aging in Centenarians. Antioxidants. 13(8). 997–997. 1 indexed citations
6.
Chen, Heng-Yi, Eric C. Johnson, Edahí González‐Avalos, et al.. (2022). Epigenetic remodeling by vitamin C potentiates plasma cell differentiation. eLife. 11. 17 indexed citations
8.
Dey, Priyankar, et al.. (2022). EGCG and catechin relative to green tea extract differentially modulate the gut microbial metabolome and liver metabolome to prevent obesity in mice fed a high-fat diet. The Journal of Nutritional Biochemistry. 109. 109094–109094. 25 indexed citations
9.
Chen, Li, et al.. (2022). Dairy Milk Casein and Whey Proteins Differentially Alter the Postprandial Lipidome in Persons with Prediabetes: A Comparative Lipidomics Study. Journal of Agricultural and Food Chemistry. 70(33). 10209–10220. 10 indexed citations
10.
Zhu, Jiangjiang, Zhongtang Yu, Yael Vodovotz, et al.. (2019). Intestinal-level anti-inflammatory bioactivities of catechin-rich green tea: Rationale, design, and methods of a double-blind, randomized, placebo-controlled crossover trial in metabolic syndrome and healthy adults. Contemporary Clinical Trials Communications. 17. 100495–100495. 34 indexed citations
11.
Hirahatake, Kristin M., Richard S. Bruno, Bradley W. Bolling, et al.. (2019). Dairy Foods and Dairy Fats: New Perspectives on Pathways Implicated in Cardiometabolic Health. Advances in Nutrition. 11(2). 266–279. 29 indexed citations
12.
Goodus, Matthew T., Andrew D. Sauerbeck, Phillip G. Popovich, Richard S. Bruno, & Dana M. McTigue. (2018). Dietary Green Tea Extract Prior to Spinal Cord Injury Prevents Hepatic Iron Overload but Does Not Improve Chronic Hepatic and Spinal Cord Pathology in Rats. Journal of Neurotrauma. 35(24). 2872–2882. 14 indexed citations
13.
Mah, Eunice, Chureeporn Chitchumroonchokchai, Priyankar Dey, et al.. (2018). Dairy milk proteins attenuate hyperglycemia-induced impairments in vascular endothelial function in adults with prediabetes by limiting increases in glycemia and oxidative stress that reduce nitric oxide bioavailability. The Journal of Nutritional Biochemistry. 63. 165–176. 19 indexed citations
14.
Chung, Min‐Yu, Eunice Mah, Sang K. Noh, et al.. (2014). Green Tea Lowers Hepatic COX-2 and Prostaglandin E2 in Rats with Dietary Fat-Induced Nonalcoholic Steatohepatitis. Journal of Medicinal Food. 18(6). 648–655. 48 indexed citations
15.
Mangano, Kelsey M, Heather Hutchins-Wiese, Rose Anne Kenny, et al.. (2013). Soy proteins and isoflavones reduce interleukin-6 but not serum lipids in older women: a randomized controlled trial. Nutrition Research. 33(12). 1026–1033. 49 indexed citations
16.
17.
Park, Joonghoon, Liangxue Lai, Melissa Samuel, et al.. (2011). Altered Gene Expression Profiles in the Brain, Kidney, and Lung of One-Month-Old Cloned Pigs. Cellular Reprogramming. 13(3). 215–223. 8 indexed citations
18.
Park, Joonghoon, Sadie L. Marjani, Liangxue Lai, et al.. (2010). Altered Gene Expression Profiles in the Brain, Kidney, and Lung of Deceased Neonatal Cloned Pigs. Cellular Reprogramming. 12(5). 589–597. 10 indexed citations
19.
Bruno, Richard S., Rajasekhar Ramakrishnan, Thomas J. Montine, Tammy Μ. Bray, & Maret G. Traber. (2005). α-Tocopherol disappearance is faster in cigarette smokers and is inversely related to their ascorbic acid status. American Journal of Clinical Nutrition. 81(1). 95–103. 98 indexed citations
20.
Bruno, Richard S., et al.. (2005). Ascorbylated 4-hydroxy-2-nonenal as a potential biomarker of oxidative stress response. Journal of Chromatography B. 827(1). 139–145. 5 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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