Brandyn D. Henriksbo

1.3k total citations
18 papers, 822 citations indexed

About

Brandyn D. Henriksbo is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Brandyn D. Henriksbo has authored 18 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Brandyn D. Henriksbo's work include Gut microbiota and health (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Immune Response and Inflammation (5 papers). Brandyn D. Henriksbo is often cited by papers focused on Gut microbiota and health (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Immune Response and Inflammation (5 papers). Brandyn D. Henriksbo collaborates with scholars based in Canada, France and India. Brandyn D. Henriksbo's co-authors include Jonathan D. Schertzer, Joseph F. Cavallari, Nicole G. Barra, Kevin P. Foley, Fernando F. Anhê, Brittany M. Duggan, Trevor C. Lau, Emmanuel Denou, Gregory R. Steinberg and Morgan D. Fullerton and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Metabolism.

In The Last Decade

Brandyn D. Henriksbo

17 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brandyn D. Henriksbo Canada 14 484 267 210 172 152 18 822
Brittany M. Duggan Canada 10 340 0.7× 196 0.7× 128 0.6× 139 0.8× 111 0.7× 15 585
M. Mar Rodríguez Spain 12 340 0.7× 171 0.6× 158 0.8× 117 0.7× 148 1.0× 15 716
Victor L. Lam United States 7 754 1.6× 266 1.0× 370 1.8× 218 1.3× 100 0.7× 8 1.0k
Tom Houben Netherlands 17 452 0.9× 209 0.8× 378 1.8× 143 0.8× 140 0.9× 40 1.0k
Kees Meijer Netherlands 8 262 0.5× 184 0.7× 133 0.6× 101 0.6× 81 0.5× 16 646
Gladys Ferrere France 9 462 1.0× 157 0.6× 503 2.4× 173 1.0× 86 0.6× 12 980
Yani Yin China 11 488 1.0× 235 0.9× 110 0.5× 64 0.4× 99 0.7× 18 794
Leigh Maher United States 9 726 1.5× 260 1.0× 125 0.6× 296 1.7× 104 0.7× 12 1.3k
Adebowale Adeyemi United States 7 593 1.2× 164 0.6× 418 2.0× 218 1.3× 114 0.8× 14 1.1k

Countries citing papers authored by Brandyn D. Henriksbo

Since Specialization
Citations

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

Fields of papers citing papers by Brandyn D. Henriksbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandyn D. Henriksbo

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

All Works

18 of 18 papers shown
1.
Barra, Nicole G., Danish Patoli, Kevin I. Watt, et al.. (2023). Statins activate the NLRP3 inflammasome and inhibit the Hippo pathway to promote myopathy. Physiology. 38(S1).
2.
Foley, Kevin P., Yong Chen, Nicole G. Barra, et al.. (2021). Inflammation promotes adipocyte lipolysis via IRE1 kinase. Journal of Biological Chemistry. 296. 100440–100440. 43 indexed citations
3.
Anhê, Fernando F., Nicole G. Barra, Joseph F. Cavallari, Brandyn D. Henriksbo, & Jonathan D. Schertzer. (2021). Metabolic endotoxemia is dictated by the type of lipopolysaccharide. Cell Reports. 36(11). 109691–109691. 112 indexed citations
4.
Zhang, Xiong, Hanjeong Harvey, Brandyn D. Henriksbo, et al.. (2021). Exploration of BAY 11-7082 as a Potential Antibiotic. ACS Infectious Diseases. 8(1). 170–182. 13 indexed citations
5.
Foley, Kevin P., Soumaya Zlitni, Brittany M. Duggan, et al.. (2020). Gut microbiota impairs insulin clearance in obese mice. Molecular Metabolism. 42. 101067–101067. 30 indexed citations
6.
Henriksbo, Brandyn D., et al.. (2020). Statins activate the NLRP3 inflammasome and impair insulin signaling via p38 and mTOR. American Journal of Physiology-Endocrinology and Metabolism. 319(1). E110–E116. 24 indexed citations
7.
Cavallari, Joseph F., et al.. (2020). NOD2 in hepatocytes engages a liver-gut axis to protect against steatosis, fibrosis, and gut dysbiosis during fatty liver disease in mice. American Journal of Physiology-Endocrinology and Metabolism. 319(2). E305–E314. 23 indexed citations
8.
Barra, Nicole G., Brandyn D. Henriksbo, Fernando F. Anhê, & Jonathan D. Schertzer. (2020). The NLRP3 inflammasome regulates adipose tissue metabolism. Biochemical Journal. 477(6). 1089–1107. 58 indexed citations
9.
Cavallari, Joseph F., Nicole G. Barra, Kevin P. Foley, et al.. (2020). Postbiotics for NOD2 require nonhematopoietic RIPK2 to improve blood glucose and metabolic inflammation in mice. American Journal of Physiology-Endocrinology and Metabolism. 318(4). E579–E585. 46 indexed citations
10.
Henriksbo, Brandyn D., Akhilesh K. Tamrakar, Brittany M. Duggan, et al.. (2019). Statins Promote Interleukin-1β–Dependent Adipocyte Insulin Resistance Through Lower Prenylation, Not Cholesterol. Diabetes. 68(7). 1441–1448. 35 indexed citations
11.
Cavallari, Joseph F., Morgan D. Fullerton, Brittany M. Duggan, et al.. (2017). Muramyl Dipeptide-Based Postbiotics Mitigate Obesity-Induced Insulin Resistance via IRF4. Cell Metabolism. 25(5). 1063–1074.e3. 165 indexed citations
12.
Rebalka, Irena A., et al.. (2017). Statin Therapy Negatively Impacts Skeletal Muscle Regeneration and Cutaneous Wound Repair in Type 1 Diabetic Mice. Frontiers in Physiology. 8. 1088–1088. 6 indexed citations
13.
Duggan, Brittany M., Kevin P. Foley, Brandyn D. Henriksbo, et al.. (2017). Tyrosine kinase inhibitors of Ripk2 attenuate bacterial cell wall-mediated lipolysis, inflammation and dysglycemia. Scientific Reports. 7(1). 1578–1578. 33 indexed citations
14.
Henriksbo, Brandyn D. & Jonathan D. Schertzer. (2015). Is immunity a mechanism contributing to statin-induced diabetes?. Adipocyte. 4(4). 232–238. 34 indexed citations
15.
Cavallari, Joseph F., Morgan D. Fullerton, Emmanuel Denou, et al.. (2014). 22. Cytokine. 70(1). 33–33. 1 indexed citations
16.
Dao, Dyda, Trevor C. Lau, Brandyn D. Henriksbo, et al.. (2014). Bacterial Peptidoglycan Stimulates Adipocyte Lipolysis via NOD1. PLoS ONE. 9(5). e97675–e97675. 64 indexed citations
17.
Henriksbo, Brandyn D., Trevor C. Lau, Joseph F. Cavallari, et al.. (2014). Fluvastatin Causes NLRP3 Inflammasome-Mediated Adipose Insulin Resistance. Diabetes. 63(11). 3742–3747. 112 indexed citations
18.
Tomljenovic-Berube, Ana M., et al.. (2013). Mapping and Regulation of Genes within Salmonella Pathogenicity Island 12 That Contribute to In Vivo Fitness of Salmonella enterica Serovar Typhimurium. Infection and Immunity. 81(7). 2394–2404. 23 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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