Jacob L. Barber

686 total citations
20 papers, 385 citations indexed

About

Jacob L. Barber is a scholar working on Physiology, Cell Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jacob L. Barber has authored 20 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Cell Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jacob L. Barber's work include Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Jacob L. Barber is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Jacob L. Barber collaborates with scholars based in United States, Singapore and Canada. Jacob L. Barber's co-authors include Mark A. Sarzynski, Claude Bouchard, Kia N. Zellars, Robert E. Gerszten, Francis G. Spinale, Jeremy Robbins, Kurt G. Barringhaus, Gavin M. Bidelman, Arthur S. Leon and Timothy S. Church and has published in prestigious journals such as Circulation, Diabetes and Scientific Reports.

In The Last Decade

Jacob L. Barber

17 papers receiving 381 citations

Peers

Jacob L. Barber

PHYSI

CCM

CAM

EDM

Anna-Maria Touvra Greece

Mette P. Sonne Denmark

Jari E. Karppinen Finland

Paul O’Connor Ireland

J. S. Ruffino United Kingdom

Jingwen Liao China

Torben Østergård Denmark

Mark W. Pataky United States

Milana Kokosar Sweden

Arun Maharaj United States

Anna-Maria Touvra Greece

Jacob L. Barber

156 ×1.0

PHYSI

53 ×0.6

CCM

70 ×0.9

CAM

62 ×0.8

97 ×1.4

EDM

Citations per year, relative to Jacob L. Barber Jacob L. Barber (= 1×) peers Anna-Maria Touvra

Countries citing papers authored by Jacob L. Barber

Since Specialization

Citations

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

Fields of papers citing papers by Jacob L. Barber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob L. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob L. Barber. A scholar is included among the top collaborators of Jacob L. Barber 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 Jacob L. Barber. Jacob L. Barber 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

Leszczynski, Eric C., Jacob L. Barber, Xuewen Wang, et al.. (2025). Association of the HDL lipidome with HDL traits before and after exercise training: HERITAGE family study. Metabolomics. 21(5). 120–120.

Barber, Jacob L., Prashant Rao, Michael Mi, et al.. (2023). Omics-driven investigation of the biology underlying intrinsic submaximal working capacity and its trainability. Physiological Genomics. 55(11). 517–543. 4 indexed citations

Chen, Yan, Jacob L. Barber, Bridget Armstrong, et al.. (2023). Effects of exercise training on ANGPTL3/8 and ANGPTL4/8 and their associations with cardiometabolic traits. Journal of Lipid Research. 65(2). 100495–100495. 7 indexed citations

Robbins, Jeremy, Prashant Rao, Shuliang Deng, et al.. (2023). Plasma proteomic changes in response to exercise training are associated with cardiorespiratory fitness adaptations. JCI Insight. 8(7). 19 indexed citations

Mi, Michael, Jacob L. Barber, Prashant Rao, et al.. (2023). Plasma Proteomic Kinetics in Response to Acute Exercise. Molecular & Cellular Proteomics. 22(8). 100601–100601. 10 indexed citations

Cronjé, Héléne T., Michael Mi, Thomas R. Austin, et al.. (2023). Plasma Proteomic Risk Markers of Incident Type 2 Diabetes Reflect Physiologically Distinct Components of Glucose-Insulin Homeostasis. Diabetes. 72(5). 666–673. 11 indexed citations

Sarzynski, Mark A., Treva Rice, Jean‐Pierre Després, et al.. (2022). The HERITAGE Family Study: A Review of the Effects of Exercise Training on Cardiometabolic Health, with Insights into Molecular Transducers. Medicine & Science in Sports & Exercise. 54(5S). S1–S43. 33 indexed citations

Barber, Jacob L., Guoshuai Cai, Jeremy Robbins, et al.. (2022). EXERCISE TRAINING-INDUCED CHANGES IN LIPID TRAITS ARE ASSOCIATED WITH CHANGES IN CIRCULATING PROTEINS AND METABOLITES. Medicine & Science in Sports & Exercise. 54(9S). 250–251. 1 indexed citations

Robbins, Jeremy, Bennet Peterson, Daniela Schranner, et al.. (2021). Human plasma proteomic profiles indicative of cardiorespiratory fitness. Nature Metabolism. 3(6). 786–797. 41 indexed citations

10.

Barber, Jacob L., Jeremy Robbins, Robert E. Gerszten, et al.. (2021). Regular exercise and patterns of response across multiple cardiometabolic traits: the HERITAGE family study. British Journal of Sports Medicine. 56(2). 95–100. 14 indexed citations

11.

Barber, Jacob L., Guoshuai Cai, Jeremy Robbins, et al.. (2021). Abstract MP12: Proteomic Predictors Of High-density Lipoprotein Cholesterol Response To Regular Exercise. Circulation. 143(Suppl_1).

12.

Barber, Jacob L., Donald M. Lloyd‐Jones, Myron D. Gross, et al.. (2021). Cardiovascular Health Trajectories and Elevated C‐Reactive Protein: The CARDIA Study. Journal of the American Heart Association. 10(17). e019725–e019725. 14 indexed citations

13.

Jones, Alexis, Jacob L. Barber, James S. Skinner, Claude Bouchard, & Mark A. Sarzynski. (2021). Abstract 075: Differences In Body Composition At Baseline And In Response To Exercise Training By Metabolic Health And Weight Status. Circulation. 143(Suppl_1). 1 indexed citations

14.

Barber, Jacob L., Kia N. Zellars, Kurt G. Barringhaus, et al.. (2019). The Effects of Regular Exercise on Circulating Cardiovascular-related MicroRNAs. Scientific Reports. 9(1). 7527–7527. 53 indexed citations

15.

Sarzynski, Mark A., Jacob L. Barber, Jeremy Robbins, et al.. (2019). Abstract 499: Exercise Training Alters the Plasma Lipidomic Profile. Arteriosclerosis Thrombosis and Vascular Biology. 39(Suppl_1).

16.

Barber, Jacob L., et al.. (2019). Auditory categorical processing for speech is modulated by inherent musical listening skills. Neuroreport. 31(2). 162–166. 21 indexed citations

17.

Ross, Leanna M., Jacob L. Barber, Alexander C. McLain, et al.. (2019). The Association of Cardiorespiratory Fitness and Ideal Cardiovascular Health in the Aerobics Center Longitudinal Study. Journal of Physical Activity and Health. 16(11). 968–975. 10 indexed citations

18.

Barber, Jacob L., William E. Kraus, Timothy S. Church, et al.. (2018). Effects of regular endurance exercise on GlycA: Combined analysis of 14 exercise interventions. Atherosclerosis. 277. 1–6. 11 indexed citations

19.

Barber, Jacob L., et al.. (2018). Effects of exercise on HDL functionality. Current Opinion in Lipidology. 30(1). 16–23. 91 indexed citations

20.

Sarzynski, Mark A., Jacob L. Barber, Cris A. Slentz, et al.. (2018). Effects of Increasing Exercise Intensity and Dose on Multiple Measures of HDL (High-Density Lipoprotein) Function. Arteriosclerosis Thrombosis and Vascular Biology. 38(4). 943–952. 44 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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