Curtis R. Warren

8.3k total citations
17 papers, 631 citations indexed

About

Curtis R. Warren is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Curtis R. Warren has authored 17 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Curtis R. Warren's work include Adipose Tissue and Metabolism (5 papers), Pluripotent Stem Cells Research (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Curtis R. Warren is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Pluripotent Stem Cells Research (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Curtis R. Warren collaborates with scholars based in United States, United Kingdom and France. Curtis R. Warren's co-authors include Chad A. Cowan, Mary C. Farach‐Carson, Daniel D. Carson, Daniel A. Harrington, William T. Hendriks, Benjamin D. Pope, Kevin Kit Parker, Max Friesen, Lewis W. Francis and Brian J. Grindel and has published in prestigious journals such as PLoS ONE, Circulation Research and Development.

In The Last Decade

Curtis R. Warren

16 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Curtis R. Warren United States	15	338	130	110	79	68	17	631
Junghun Kweon United States	12	484 1.4×	129 1.0×	54 0.5×	64 0.8×	56 0.8×	26	687
Shuichiro Higo Japan	14	402 1.2×	113 0.9×	40 0.4×	82 1.0×	85 1.3×	37	666
Martin Heur United States	18	219 0.6×	78 0.6×	206 1.9×	97 1.2×	56 0.8×	31	919
Cora Beckers Netherlands	12	356 1.1×	136 1.0×	77 0.7×	41 0.5×	64 0.9×	15	730
Detian Yuan China	14	549 1.6×	84 0.6×	70 0.6×	95 1.2×	135 2.0×	19	859
Ana Maria Manso United States	16	535 1.6×	289 2.2×	89 0.8×	61 0.8×	108 1.6×	29	1.1k
Yoshihiro Yoshikawa Japan	7	402 1.2×	56 0.4×	78 0.7×	35 0.4×	67 1.0×	26	671
Mei Chen United States	9	468 1.4×	164 1.3×	44 0.4×	72 0.9×	56 0.8×	12	811
Dustin S. Chang United States	5	557 1.6×	74 0.6×	64 0.6×	44 0.6×	137 2.0×	6	858
Vaibhao Janbandhu Australia	12	589 1.7×	60 0.5×	84 0.8×	80 1.0×	109 1.6×	17	942

Countries citing papers authored by Curtis R. Warren

Since Specialization

Citations

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

Fields of papers citing papers by Curtis R. Warren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis R. Warren. 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 Curtis R. Warren. The network helps show where Curtis R. Warren may publish in the future.

Co-authorship network of co-authors of Curtis R. Warren

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

All Works

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17 of 17 papers shown

Hill, Jon, et al.. (2025). Human three-dimensional engineered muscle tissue characterization and intramyocellular lipid modeling. Journal of Tissue Engineering. 16. 1798873014–1798873014.

Warren, Curtis R., et al.. (2025). From 2D Myotube Cultures to 3D Engineered Skeletal Muscle Constructs: A Comprehensive Review of In Vitro Skeletal Muscle Models and Disease Modeling Applications. Cells. 14(12). 882–882. 1 indexed citations

Friesen, Max, Curtis R. Warren, Haojie Yu, et al.. (2020). Mitoregulin Controls β-Oxidation in Human and Mouse Adipocytes. Stem Cell Reports. 14(4). 590–602. 34 indexed citations

Pope, Benjamin D., Curtis R. Warren, Nina R. Sinatra, et al.. (2020). Fattening chips: hypertrophy, feeding, and fasting of human white adipocytesin vitro. Lab on a Chip. 20(22). 4152–4165. 14 indexed citations

Caine, Elizabeth A., Sarah D. Mahan, Rebecca L. Johnson, et al.. (2020). Targeted Protein Degradation Phenotypic Studies Using HaloTag CRISPR/Cas9 Endogenous Tagging Coupled with HaloPROTAC3. Current Protocols in Pharmacology. 91(1). e81–e81. 26 indexed citations

Chen, Zhifen, Haojie Yu, Xu Shi, et al.. (2019). Functional Screening of Candidate Causal Genes for Insulin Resistance in Human Preadipocytes and Adipocytes. Circulation Research. 126(3). 330–346. 49 indexed citations

Warren, Curtis R., Cashell E. Jaquish, & Chad A. Cowan. (2017). The NextGen Genetic Association Studies Consortium: A Foray into In Vitro Population Genetics. Cell stem cell. 20(4). 431–433. 20 indexed citations

Warren, Curtis R. & Chad A. Cowan. (2017). Humanity in a Dish: Population Genetics with iPSCs. Trends in Cell Biology. 28(1). 46–57. 18 indexed citations

Peters, Derek, et al.. (2016). Asialoglycoprotein receptor 1 is a specific cell-surface marker for isolating hepatocytes derived from human pluripotent stem cells. Development. 143(9). 1475–1481. 49 indexed citations

10.

Hendriks, William T., Curtis R. Warren, & Chad A. Cowan. (2016). Genome Editing in Human Pluripotent Stem Cells: Approaches, Pitfalls, and Solutions. Cell stem cell. 18(1). 53–65. 82 indexed citations

11.

Pope, Benjamin D., Curtis R. Warren, Kevin Kit Parker, & Chad A. Cowan. (2016). Microenvironmental Control of Adipocyte Fate and Function. Trends in Cell Biology. 26(10). 745–755. 89 indexed citations

12.

Friesen, Max, Carolyn S. Hudak, Curtis R. Warren, Fang Xia, & Chad A. Cowan. (2016). Adipocyte insulin receptor activity maintains adipose tissue mass and lifespan. Biochemical and Biophysical Research Communications. 476(4). 487–492. 15 indexed citations

13.

Morgado, Micaela, Margie N. Sutton, Mary Simmons, et al.. (2016). Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 7(12). 14871–14884. 44 indexed citations

14.

Warren, Curtis R., et al.. (2015). Evolution of the Perlecan/HSPG2 Gene and Its Activation in Regenerating Nematostella vectensis. PLoS ONE. 10(4). e0124578–e0124578. 21 indexed citations

15.

Warren, Curtis R., Brian J. Grindel, Lewis W. Francis, Daniel D. Carson, & Mary C. Farach‐Carson. (2014). Transcriptional Activation by NFκB Increases Perlecan/HSPG2 Expression in the Desmoplastic Prostate Tumor Microenvironment. Journal of Cellular Biochemistry. 115(7). 1322–1333. 33 indexed citations

16.

Farach‐Carson, Mary C., Curtis R. Warren, Daniel A. Harrington, & Daniel D. Carson. (2013). Border patrol: Insights into the unique role of perlecan/heparan sulfate proteoglycan 2 at cell and tissue borders. Matrix Biology. 34. 64–79. 122 indexed citations

17.

Dunne, Colum & Curtis R. Warren. (1998). Lethal autonomy: the malfunction of the informed consent mechanism within the context of prenatal diagnosis of genetic variants.. PubMed. 14(2). 165–202. 14 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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