Casey D. Charvet

421 total citations
11 papers, 325 citations indexed

About

Casey D. Charvet is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Casey D. Charvet has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Casey D. Charvet's work include Cholesterol and Lipid Metabolism (5 papers), Retinal Diseases and Treatments (3 papers) and Hormonal Regulation and Hypertension (3 papers). Casey D. Charvet is often cited by papers focused on Cholesterol and Lipid Metabolism (5 papers), Retinal Diseases and Treatments (3 papers) and Hormonal Regulation and Hypertension (3 papers). Casey D. Charvet collaborates with scholars based in United States, United Kingdom and Nepal. Casey D. Charvet's co-authors include Irina A. Pikuleva, Natalia Mast, Wenchao Zheng, Susan S. Huang, Rachel E. Reem, C.D. Stout, Pier Luigi DiPatre, Christine A. Curcio, Neal S. Peachey and Robert G. Salomon and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Casey D. Charvet

9 papers receiving 324 citations

Peers

Casey D. Charvet

MB

SURGE

OPHTH

RNMI

PHARM

L. Malvitte France

Wei-Li Liao United States

Allyson L. Toro United States

Takako Ueda Japan

Eun-Hee Lee South Korea

Vladimir Mastyugin United States

Fei Yuan China

Ronald J. Walkenbach United States

Mitsunori Waki Japan

L. Malvitte France

Casey D. Charvet

177 ×1.0

MB

193 ×1.5

SURGE

189 ×1.6

OPHTH

124 ×3.0

RNMI

17 ×0.5

PHARM

Citations per year, relative to Casey D. Charvet Casey D. Charvet (= 1×) peers L. Malvitte

Countries citing papers authored by Casey D. Charvet

Since Specialization

Citations

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

Fields of papers citing papers by Casey D. Charvet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey D. Charvet

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

All Works

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11 of 11 papers shown

1.

Saadane, Aicha, Natalia Mast, Casey D. Charvet, et al.. (2014). Retinal and Nonocular Abnormalities in Cyp27a1Cyp46a1 Mice with Dysfunctional Metabolism of Cholesterol. American Journal Of Pathology. 184(9). 2403–2419. 40 indexed citations

2.

Charvet, Casey D. & Irina A. Pikuleva. (2014). Mass Spectrometry Detection of Isolevuglandin Adduction to Specific Protein Residues. Methods in molecular biology. 1208. 285–298. 2 indexed citations

3.

Charvet, Casey D., James Laird, Yunfeng Xu, Robert G. Salomon, & Irina A. Pikuleva. (2013). Posttranslational modification by an isolevuglandin diminishes activity of the mitochondrial cytochrome P450 27A1. Journal of Lipid Research. 54(5). 1421–1429. 15 indexed citations

4.

Charvet, Casey D., Aicha Saadane, Meiyao Wang, et al.. (2013). Pretreatment with Pyridoxamine Mitigates Isolevuglandin-associated Retinal Effects in Mice Exposed to Bright Light. Journal of Biological Chemistry. 288(41). 29267–29280. 26 indexed citations

5.

Zheng, Wenchao, Rachel E. Reem, Susan S. Huang, et al.. (2012). Spatial Distribution of the Pathways of Cholesterol Homeostasis in Human Retina. PLoS ONE. 7(5). e37926–e37926. 97 indexed citations

6.

Charvet, Casey D., Rachel E. Reem, Natalia Mast, et al.. (2012). Abnormal vascularization in mouse retina with dysregulated retinal cholesterol homeostasis. Journal of Clinical Investigation. 122(8). 3012–3023. 53 indexed citations

7.

Charvet, Casey D., Wei-Li Liao, James Laird, et al.. (2011). Isolevuglandins and Mitochondrial Enzymes in the Retina. Journal of Biological Chemistry. 286(23). 20413–20422. 21 indexed citations

8.

Mast, Natalia, Casey D. Charvet, Irina A. Pikuleva, & C.D. Stout. (2010). Structural Basis of Drug Binding to CYP46A1, an Enzyme That Controls Cholesterol Turnover in the Brain. Journal of Biological Chemistry. 285(41). 31783–31795. 56 indexed citations

9.

Charvet, Casey D., et al.. (2010). High-throughput fluorescence polarization assay to identify inhibitors of Cbl(TKB)–protein tyrosine kinase interactions. Analytical Biochemistry. 411(2). 254–260. 15 indexed citations

10.

Charvet, Casey D., et al.. (1998). Virtual reality in education. 60–60.

11.

Charvet, Casey D., et al.. (1997). Historical role-playing in virtual worlds. ACM SIGGRAPH Computer Graphics. 31(3). 64–65.

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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