Chris Daige

1.2k total citations
8 papers, 1.0k citations indexed

About

Chris Daige is a scholar working on Surgery, Cancer Research and Molecular Biology. According to data from OpenAlex, Chris Daige has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Chris Daige's work include Cholesterol and Lipid Metabolism (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Chris Daige is often cited by papers focused on Cholesterol and Lipid Metabolism (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Chris Daige collaborates with scholars based in United States and France. Chris Daige's co-authors include Ira G. Schulman, Eric D. Bischoff, Richard A. Heyman, Diane Thomas, Rajendra K. Tangirala, Brandee Wagner, Mary Petrowski, Calvin Vu, Nathan W. Levin and Aldons J. Lusis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Molecular and Cellular Biology.

In The Last Decade

Chris Daige

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Daige United States	6	744	538	440	205	198	8	1.0k
J. Gordon Porter United States	6	553 0.7×	510 0.9×	380 0.9×	153 0.7×	126 0.6×	6	1.0k
Patricia-Ann K. Bourassa United States	7	665 0.9×	452 0.8×	412 0.9×	353 1.7×	229 1.2×	8	1.2k
Mehrdad Haghpassand United States	12	832 1.1×	588 1.1×	374 0.8×	101 0.5×	229 1.2×	14	1.1k
Marek Bodzioch Poland	10	1.2k 1.6×	923 1.7×	702 1.6×	125 0.6×	209 1.1×	18	1.6k
Amir Babiker Sweden	11	671 0.9×	464 0.9×	269 0.6×	106 0.5×	105 0.5×	12	857
Stephanie Mott United States	11	369 0.5×	528 1.0×	265 0.6×	98 0.5×	108 0.5×	12	900
Catherine L. Knapper United States	9	576 0.8×	413 0.8×	316 0.7×	65 0.3×	118 0.6×	10	795
Margaret Nickel United States	19	767 1.0×	639 1.2×	283 0.6×	92 0.4×	180 0.9×	21	1.2k
Charles Joyce United States	12	1.2k 1.6×	777 1.4×	531 1.2×	86 0.4×	316 1.6×	12	1.5k
David E. Curtis United States	4	929 1.2×	441 0.8×	70 0.2×	156 0.8×	219 1.1×	4	1.3k

Countries citing papers authored by Chris Daige

Since Specialization

Citations

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

Fields of papers citing papers by Chris Daige

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Daige

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

All Works

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8 of 8 papers shown

Daige, Chris, et al.. (2016). MRX34, a liposomal miR-34 mimic and potential first-in-class microRNA therapeutic: activity in animal models of liver cancer.. Journal of Clinical Oncology. 34(15_suppl). e14076–e14076. 5 indexed citations

Daige, Chris, et al.. (2011). Abstract C142: The development of a miRNA-based therapeutic candidate for hepatocellular carcinoma.. Molecular Cancer Therapeutics. 10(11_Supplement). C142–C142. 4 indexed citations

Bischoff, Eric D., Chris Daige, Mary Petrowski, et al.. (2010). Non-redundant roles for LXR and LXR in atherosclerosis susceptibility in low density lipoprotein receptor knockout mice. Journal of Lipid Research. 51(5). 900–906. 78 indexed citations

Martin, Richard, Tielin Wang, Paige E. Mahaney, et al.. (2009). Discovery of XL335 (WAY-362450), a Highly Potent, Selective, and Orally Active Agonist of the Farnesoid X Receptor (FXR). Journal of Medicinal Chemistry. 52(4). 904–907. 141 indexed citations

Bischoff, Eric D., Chris Daige, Mary Petrowski, et al.. (2009). Non-redundant roles for LXRα and LXRβ in atherosclerosis susceptibility in low density lipoprotein receptor knockout mice. Journal of Lipid Research. 51(5). 900–906. 19 indexed citations

Levin, Nathan W., Eric D. Bischoff, Chris Daige, et al.. (2004). Macrophage Liver X Receptor Is Required for Antiatherogenic Activity of LXR Agonists. Arteriosclerosis Thrombosis and Vascular Biology. 25(1). 135–142. 227 indexed citations

Wagner, Brandee, Annabel F. Valledor, Gang Shao, et al.. (2003). Promoter-Specific Roles for Liver X Receptor/Corepressor Complexes in the Regulation of ABCA1 and SREBP1 Gene Expression. Molecular and Cellular Biology. 23(16). 5780–5789. 197 indexed citations

Tangirala, Rajendra K., Eric D. Bischoff, Sean B. Joseph, et al.. (2002). Identification of macrophage liver X receptors as inhibitors of atherosclerosis. Proceedings of the National Academy of Sciences. 99(18). 11896–11901. 359 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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