Jose Barrera

2.3k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Jose Barrera is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Jose Barrera has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Jose Barrera's work include Estrogen and related hormone effects (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Jose Barrera is often cited by papers focused on Estrogen and related hormone effects (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Jose Barrera collaborates with scholars based in United States and Czechia. Jose Barrera's co-authors include Jianbin Huang, Shian Wu, Krista A. Matthews, Duojia Pan, Robert E. Hammer, Timothy L. Megraw, Jannon L. Fuchs, Joachim Seemann, Michael A. Rea and Robert L. Gannon and has published in prestigious journals such as Cell, Nature Communications and Diabetes.

In The Last Decade

Jose Barrera

9 papers receiving 1.8k citations

Hit Papers

The Hippo Signaling Pathway Coordinately Regulates Cell P... 2005 2026 2012 2019 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jose Barrera United States 8 1.4k 1.1k 169 126 120 9 1.8k
Yu Hisano Japan 18 620 0.4× 1.6k 1.4× 74 0.4× 61 0.5× 66 0.6× 19 1.8k
Dhruv Kaushal United States 12 429 0.3× 1.3k 1.1× 151 0.9× 135 1.1× 125 1.0× 13 1.8k
Sascha E. Dho Canada 15 458 0.3× 1.4k 1.3× 189 1.1× 31 0.2× 198 1.6× 21 1.8k
Fanny Mende Germany 9 1.0k 0.7× 918 0.8× 42 0.2× 39 0.3× 72 0.6× 10 1.7k
Mary Sym United States 9 479 0.3× 1.5k 1.3× 61 0.4× 284 2.3× 189 1.6× 9 2.0k
A. Edwards United States 13 537 0.4× 1.3k 1.1× 84 0.5× 48 0.4× 253 2.1× 14 1.7k
Anne W. Kerrebrock United States 12 467 0.3× 1.2k 1.1× 59 0.3× 283 2.2× 209 1.7× 13 1.5k
Oliver Popp Germany 22 496 0.4× 1.2k 1.1× 396 2.3× 76 0.6× 93 0.8× 52 1.7k
Alexander Reuter Germany 17 339 0.2× 670 0.6× 74 0.4× 52 0.4× 137 1.1× 25 1.3k
Tetsuji Mutoh Japan 13 368 0.3× 1.2k 1.1× 74 0.4× 40 0.3× 288 2.4× 15 1.6k

Countries citing papers authored by Jose Barrera

Since Specialization
Citations

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

Fields of papers citing papers by Jose Barrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose Barrera. 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 Jose Barrera. The network helps show where Jose Barrera may publish in the future.

Co-authorship network of co-authors of Jose Barrera

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

All Works

9 of 9 papers shown
1.
Sacharidou, Anastasia, Ken L. Chambliss, Jun Peng, et al.. (2023). Endothelial ERα promotes glucose tolerance by enhancing endothelial insulin transport to skeletal muscle. Nature Communications. 14(1). 4989–4989. 15 indexed citations
2.
Chambliss, Ken L., Jose Barrera, Michihisa Umetani, et al.. (2016). Nonnuclear Estrogen Receptor Activation Improves Hepatic Steatosis in Female Mice. Endocrinology. 157(10). 3731–3741. 29 indexed citations
4.
Barrera, Jose, Ken L. Chambliss, Mohamed H. Ahmed, et al.. (2014). Bazedoxifene and conjugated estrogen prevent diet-induced obesity, hepatic steatosis, and type 2 diabetes in mice without impacting the reproductive tract. American Journal of Physiology-Endocrinology and Metabolism. 307(3). E345–E354. 36 indexed citations
5.
Jeter, Cameron B., Michael J. Hylin, Georgene W. Hergenroeder, et al.. (2014). Biomarkers of Organ Injury. 4(2). 98–109. 2 indexed citations
6.
Tanigaki, Keiji, Wanpen Vongpatanasin, Jose Barrera, et al.. (2012). C-Reactive Protein Causes Insulin Resistance in Mice Through Fcγ Receptor IIB–Mediated Inhibition of Skeletal Muscle Glucose Delivery. Diabetes. 62(3). 721–731. 42 indexed citations
7.
Barrera, Jose, et al.. (2010). CDK5RAP2 Regulates Centriole Engagement and Cohesion in Mice. Developmental Cell. 18(6). 913–926. 129 indexed citations
8.
Huang, Jianbin, Shian Wu, Jose Barrera, Krista A. Matthews, & Duojia Pan. (2005). The Hippo Signaling Pathway Coordinately Regulates Cell Proliferation and Apoptosis by Inactivating Yorkie, the Drosophila Homolog of YAP. Cell. 122(3). 421–434. 1497 indexed citations breakdown →
9.
Rea, Michael A., Jose Barrera, J. David Glass, & Robert L. Gannon. (1995). Serotonergic potentiation of photic phase shifts of the circadian activity rhythm. Neuroreport. 6(10). 1417–1420. 72 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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