Taylor C. Rosa

590 total citations
12 papers, 482 citations indexed

About

Taylor C. Rosa is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Taylor C. Rosa has authored 12 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Taylor C. Rosa's work include Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Taylor C. Rosa is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Taylor C. Rosa collaborates with scholars based in United States and Japan. Taylor C. Rosa's co-authors include Adolfo Garcı́a-Ocaña, Laura Alonso, Rupangi C. Vasavada, Shelley Valle, José Manuel Mellado‐Gil, Sara Ernst, Cem Demirci, Juan Carlos Álvarez-Pérez, Christopher P. O’Donnell and Lia C. Romano and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physiology and Diabetes.

In The Last Decade

Taylor C. Rosa

12 papers receiving 472 citations

Peers

Taylor C. Rosa
Vera J. M. Nies Netherlands
Laurie Reinhart United States
Beate Enigk Germany
E. Mutel France
Charles Kresge United States
Alan Permutt United States
Urs Arnet Switzerland
Vera J. M. Nies Netherlands
Taylor C. Rosa
Citations per year, relative to Taylor C. Rosa Taylor C. Rosa (= 1×) peers Vera J. M. Nies

Countries citing papers authored by Taylor C. Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Taylor C. Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor C. Rosa. 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 Taylor C. Rosa. The network helps show where Taylor C. Rosa may publish in the future.

Co-authorship network of co-authors of Taylor C. Rosa

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

All Works

12 of 12 papers shown
1.
Khan, Nayaab S, et al.. (2021). Peripherally Selective CB1 Receptor Antagonist Improves Symptoms of Metabolic Syndrome in Mice. ACS Pharmacology & Translational Science. 4(2). 757–764. 15 indexed citations
2.
Decker, Ann M., et al.. (2017). Development and validation of a high-throughput calcium mobilization assay for the orphan receptor GPR88. Journal of Biomedical Science. 24(1). 23–23. 13 indexed citations
3.
Álvarez-Pérez, Juan Carlos, Taylor C. Rosa, Gabriella Casinelli, et al.. (2014). Hepatocyte Growth Factor Ameliorates Hyperglycemia and Corrects β-Cell Mass in IRS2-Deficient Mice. Molecular Endocrinology. 28(12). 2038–2048. 13 indexed citations
4.
Kimple, Michelle E., Jennifer B. Moss, Harpreet K. Brar, et al.. (2012). Deletion of GαZ Protein Protects against Diet-induced Glucose Intolerance via Expansion of β-Cell Mass. Journal of Biological Chemistry. 287(24). 20344–20355. 32 indexed citations
5.
Demirci, Cem, Sara Ernst, Juan Carlos Álvarez-Pérez, et al.. (2012). Loss of HGF/c-Met Signaling in Pancreatic β-Cells Leads to Incomplete Maternal β-Cell Adaptation and Gestational Diabetes Mellitus. Diabetes. 61(5). 1143–1152. 90 indexed citations
6.
Kimple, Michelle E., Jennifer B. Moss, Harpreet K. Brar, et al.. (2012). The effects of Gαz signaling on pancreatic β‐cell function and mass. The FASEB Journal. 26(S1). 1 indexed citations
7.
Velázquez-García, Silvia, Shelley Valle, Taylor C. Rosa, et al.. (2011). Activation of Protein Kinase C-ζ in Pancreatic β-Cells In Vivo Improves Glucose Tolerance and Induces β-Cell Expansion via mTOR Activation. Diabetes. 60(10). 2546–2559. 38 indexed citations
8.
Dubé, John J., Shelley Valle, Taylor C. Rosa, et al.. (2010). Novel Proapoptotic Effect of Hepatocyte Growth Factor: Synergy with Palmitate to Cause Pancreatic β-Cell Apoptosis. Endocrinology. 151(4). 1487–1498. 14 indexed citations
9.
Mellado‐Gil, José Manuel, Taylor C. Rosa, Cem Demirci, et al.. (2010). Disruption of Hepatocyte Growth Factor/c-Met Signaling Enhances Pancreatic β-Cell Death and Accelerates the Onset of Diabetes. Diabetes. 60(2). 525–536. 96 indexed citations
10.
Yokoe, Takuya, Baobo Zou, Lia C. Romano, et al.. (2009). Hyperinsulinemia predicts survival in a hyperglycemic mouse model of critical illness*. Critical Care Medicine. 37(9). 2596–2603. 5 indexed citations
11.
Yokoe, Takuya, Laura Alonso, Lia C. Romano, et al.. (2007). Intermittent hypoxia reverses the diurnal glucose rhythm and causes pancreatic β‐cell replication in mice. The Journal of Physiology. 586(3). 899–911. 99 indexed citations
12.
Vasavada, Rupangi C., Lin Wang, Yuichi Fujinaka, et al.. (2007). Protein Kinase C-ζ Activation Markedly Enhances β-Cell Proliferation. Diabetes. 56(11). 2732–2743. 66 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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