Matthew D. Barberio

636 total citations
16 papers, 487 citations indexed

About

Matthew D. Barberio is a scholar working on Physiology, Molecular Biology and Rehabilitation. According to data from OpenAlex, Matthew D. Barberio has authored 16 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Rehabilitation. Recurrent topics in Matthew D. Barberio's work include Adipose Tissue and Metabolism (7 papers), Exercise and Physiological Responses (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Matthew D. Barberio is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Exercise and Physiological Responses (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Matthew D. Barberio collaborates with scholars based in United States, Sweden and Australia. Matthew D. Barberio's co-authors include David D. Pascoe, Evan P. Nadler, Monica J. Hubal, Sarah C. Ferrante, Robert J. Freishtat, G. Lynis Dohm, Walter J. Pories, John C. Quindry, Justin Z. Wang and Gordon Fisher and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Science Advances.

In The Last Decade

Matthew D. Barberio

16 papers receiving 472 citations

Peers

Countries citing papers authored by Matthew D. Barberio

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Barberio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Barberio. 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 Matthew D. Barberio. The network helps show where Matthew D. Barberio may publish in the future.

Co-authorship network of co-authors of Matthew D. Barberio

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change 2025 ·PubMed ·Sisi Ma, Monica J. Hubal, Matthew Morris, Leanna M. Ross, Kim M. Huffman, Christopher G. Vann, (unknown), Elizabeth R. Hauser, Akshay Bareja, Rong Jiang, Erich Kummerfeld, Matthew D. Barberio, Joseph A. Houmard, (unknown), Johanna L. Johnson, James A. Timmons, Gordon Broderick, Virginia B. Kraus, Constantin Aliferis, William E. Kraus	1
2	Neonatal adiposity is associated with microRNAs in adipocyte-derived extracellular vesicles in maternal and cord blood, a discovery analysis 2023 ·International Journal of Obesity ·(unknown), Matthew D. Barberio, Pradeep Kumar Tiwari, (unknown), Brennan Harmon, (unknown), Dattatray Bhat, (unknown), (unknown), Sudha Rao, (unknown), Robert J. Freishtat, Chittaranjan S. Yajnik	2
3	Limited data exist to inform our basic understanding of micronutrient requirements in pregnancy 2021 ·Science Advances ·Emily R. Smith, Siran He, Kevin C. Klatt, Matthew D. Barberio, Ali Rahnavard, (unknown), Carolyn Brandt, (unknown), (unknown), (unknown), (unknown), Alison D. Gernand, Homa K. Ahmadzia	9
4	Type 2 Diabetes Modifies Skeletal Muscle Gene Expression Response to Gastric Bypass Surgery 2021 ·Frontiers in Endocrinology ·Matthew D. Barberio, G. Lynis Dohm, Walter J. Pories, (unknown), Joseph A. Houmard, Evan P. Nadler, Monica J. Hubal	10
5	Toward a more stable understanding of pregnancy micronutrient metabolism 2021 ·American Journal of Physiology-Endocrinology and Metabolism ·Kevin C. Klatt, Emily R. Smith, Matthew D. Barberio	2
6	Comparison of visceral adipose tissue DNA methylation and gene expression profiles in female adolescents with obesity 2019 ·Diabetology & Metabolic Syndrome ·Matthew D. Barberio, Evan P. Nadler, Samantha Sevilla, (unknown), Brennan Harmon, Monica J. Hubal	14
7	Cholesterol efflux alterations in adolescent obesity: role of adipose-derived extracellular vesical microRNAs 2019 ·Journal of Translational Medicine ·Matthew D. Barberio, Lora J. Kasselman, Martin P. Playford, (unknown), Heather A. Renna, (unknown), Joshua DeLeon, Iryna Voloshyna, (unknown), (unknown), Sarah C. Ferrante, Evan P. Nadler, Nehal N. Mehta, Allison B. Reiss, Robert J. Freishtat	38
8	Effect of endurance exercise on microRNAs in myositis skeletal muscle—A randomized controlled study 2017 ·PLoS ONE ·J Boehler, Marshall W. Hogarth, Matthew D. Barberio, James S. Novak, Svetlana Ghimbovschi, Kristy J. Brown, Li Alemo Munters, Ingela Loell, Yiwen Chen, Heather Gordish‐Dressman, Helene Alexanderson, Ingrid E. Lundberg, Kanneboyina Nagaraju	33
9	Pyruvate Dehydrogenase Phosphatase Regulatory Gene Expression Correlates with Exercise Training Insulin Sensitivity Changes 2016 ·Medicine & Science in Sports & Exercise ·Matthew D. Barberio, Kim M. Huffman, Mamta Giri, Eric P. Hoffman, William E. Kraus, Monica J. Hubal	9
10	Obese Adipocyte-Derived Exosomal Mirnas Targeting TGF-β Signaling are Associated with poor Asthma Control 2016 ·Journal of Investigative Medicine ·(unknown), Sarah C. Ferrante, Evan P. Nadler, Matthew D. Barberio, (unknown), (unknown), Monica J. Hubal, Robert J. Freishtat	1
11	Evaluation of Performance Improvements After Either Resistance Training or Sprint Interval–Based Concurrent Training 2016 ·The Journal of Strength and Conditioning Research ·(unknown), (unknown), Matthew D. Barberio, (unknown), (unknown), David D. Pascoe	32
12	Circulating adipocyte‐derived exosomal MicroRNAs associated with decreased insulin resistance after gastric bypass 2016 ·Obesity ·Monica J. Hubal, Evan P. Nadler, Sarah C. Ferrante, Matthew D. Barberio, (unknown), Justin Z. Wang, G. Lynis Dohm, Walter J. Pories, (unknown), Robert J. Freishtat	154
13	Inflammatory, lipid, and body composition responses to interval training or moderate aerobic training 2015 ·European Journal of Applied Physiology ·(unknown), (unknown), Matthew D. Barberio, David D. Pascoe	30
14	Acute Hypoxia and Exercise-Induced Blood Oxidative Stress 2014 ·International Journal of Sport Nutrition and Exercise Metabolism ·Graham R. McGinnis, (unknown), Matthew D. Barberio, Christopher G. Ballmann, (unknown), Dustin Slivka, (unknown), John S. Cuddy, Walter Hailes, Brent C. Ruby, John C. Quindry	27
15	Systemic LPS and Inflammatory Response during Consecutive Days of Exercise in Heat 2014 ·International Journal of Sports Medicine ·Matthew D. Barberio, (unknown), R. Laird, Kyung Won Lee, (unknown), David D. Pascoe	37
16	Lymphocyte enzymatic antioxidant responses to oxidative stress following high-intensity interval exercise 2010 ·Journal of Applied Physiology ·Gordon Fisher, Dean D. Schwartz, John C. Quindry, Matthew D. Barberio, (unknown), Kate Jones, David D. Pascoe	88

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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