Caryl J. Antalis

1.2k total citations
17 papers, 933 citations indexed

About

Caryl J. Antalis is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Caryl J. Antalis has authored 17 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Caryl J. Antalis's work include Cholesterol and Lipid Metabolism (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). Caryl J. Antalis is often cited by papers focused on Cholesterol and Lipid Metabolism (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Lipid metabolism and biosynthesis (3 papers). Caryl J. Antalis collaborates with scholars based in United States, France and Australia. Caryl J. Antalis's co-authors include Rafat A. Siddiqui, Kimberly K. Buhman, Clinton E. Ballou, Aki Uchida, William C. Raschke, Kenneth A. Kern, John Burgess, Rattan Juneja, Eugene E. Wright and John M. Beals and has published in prestigious journals such as Journal of Biological Chemistry, Endocrine Reviews and The FASEB Journal.

In The Last Decade

Caryl J. Antalis

17 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caryl J. Antalis United States 12 388 240 233 169 143 17 933
Viola Tamási Hungary 21 561 1.4× 234 1.0× 141 0.6× 138 0.8× 36 0.3× 37 1.1k
Mark T. Mc Auley United Kingdom 18 465 1.2× 133 0.6× 219 0.9× 103 0.6× 46 0.3× 38 980
Diana Chan United States 22 807 2.1× 142 0.6× 55 0.2× 48 0.3× 99 0.7× 44 1.3k
Yoshimitsu Kiriyama Japan 16 584 1.5× 115 0.5× 102 0.4× 53 0.3× 37 0.3× 30 1.1k
Paola Priore Italy 16 284 0.7× 81 0.3× 86 0.4× 99 0.6× 58 0.4× 22 723
Andrew McBride United Kingdom 14 824 2.1× 221 0.9× 439 1.9× 249 1.5× 23 0.2× 20 1.4k
Nader H. Moniri United States 17 549 1.4× 65 0.3× 144 0.6× 102 0.6× 136 1.0× 44 972
Monika Kassayová Slovakia 18 417 1.1× 176 0.7× 76 0.3× 67 0.4× 46 0.3× 48 881
Carlos de Miguel Spain 17 447 1.2× 73 0.3× 50 0.2× 65 0.4× 71 0.5× 42 1.1k

Countries citing papers authored by Caryl J. Antalis

Since Specialization
Citations

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

Fields of papers citing papers by Caryl J. Antalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caryl J. Antalis. 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 Caryl J. Antalis. The network helps show where Caryl J. Antalis may publish in the future.

Co-authorship network of co-authors of Caryl J. Antalis

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

All Works

17 of 17 papers shown
1.
Quigley, Charmian A., Patricia Y. Fechner, Mitchell E. Geffner, et al.. (2021). Prevention of Growth Failure in Turner Syndrome: Long-Term Results of Early Growth Hormone Treatment in the “Toddler Turner” Cohort. Hormone Research in Paediatrics. 94(1-2). 18–35. 16 indexed citations
2.
Hirsch, Irl B., Rattan Juneja, John M. Beals, Caryl J. Antalis, & Eugene E. Wright. (2020). The Evolution of Insulin and How it Informs Therapy and Treatment Choices. Endocrine Reviews. 41(5). 733–755. 142 indexed citations
3.
Orchard, Trevor J., Bertrand Cariou, Margery A. Connelly, et al.. (2017). The effects of basal insulin peglispro vs. insulin glargine on lipoprotein particles by NMR and liver fat content by MRI in patients with diabetes. Cardiovascular Diabetology. 16(1). 73–73. 4 indexed citations
4.
Connelly, Margery A., James D. Otvos, Qianyi Zhang, et al.. (2017). Effects of Hepato-Preferential Basal Insulin Peglispro on Nuclear Magnetic Resonance Biomarkers Lipoprotein Insulin Resistance Index and Glyca in Patients With Diabetes. Biomarkers in Medicine. 11(11). 991–1001. 4 indexed citations
5.
Qu, Yongming, Junxiang Luo, Parag Garhyan, et al.. (2017). Dose Unit Establishment for a New Basal Insulin Using Joint Modeling of Insulin Dose and Glycemic Response. Journal of Diabetes Science and Technology. 12(1). 155–162. 6 indexed citations
6.
Bergenstal, Richard M., Helen Lunt, Edward Franek, et al.. (2016). Randomized, double‐blind clinical trial comparing basal insulin peglispro and insulin glargine, in combination with prandial insulin lispro, in patients with type 1 diabetes: IMAGINE 3. Diabetes Obesity and Metabolism. 18(11). 1081–1088. 40 indexed citations
7.
Cai, Qingchun, Zhenwen Zhao, Caryl J. Antalis, et al.. (2012). Elevated and secreted phospholipase A 2 activities as new potential therapeutic targets in human epithelial ovarian cancer. The FASEB Journal. 26(8). 3306–3320. 40 indexed citations
8.
Li, Hui, Zhenwen Zhao, Caryl J. Antalis, et al.. (2011). Combination Therapy of an Inhibitor of Group VIA Phospholipase A2 with Paclitaxel Is Highly Effective in Blocking Ovarian Cancer Development. American Journal Of Pathology. 179(1). 452–461. 21 indexed citations
9.
Antalis, Caryl J., Aki Uchida, Kimberly K. Buhman, & Rafat A. Siddiqui. (2011). Migration of MDA-MB-231 breast cancer cells depends on the availability of exogenous lipids and cholesterol esterification. Clinical & Experimental Metastasis. 28(8). 733–741. 137 indexed citations
10.
Antalis, Caryl J., et al.. (2009). Docosahexaenoic acid is a substrate for ACAT1 and inhibits cholesteryl ester formation from oleic acid in MCF-10A cells. Prostaglandins Leukotrienes and Essential Fatty Acids. 80(2-3). 165–171. 8 indexed citations
11.
Antalis, Caryl J., et al.. (2009). High ACAT1 expression in estrogen receptor negative basal-like breast cancer cells is associated with LDL-induced proliferation. Breast Cancer Research and Treatment. 122(3). 661–670. 142 indexed citations
12.
Tepper, Beverly J., et al.. (2008). Genetic variation in bitter taste and plasma markers of anti-oxidant status in college women. International Journal of Food Sciences and Nutrition. 60(sup2). 35–45. 29 indexed citations
14.
Harvey, Kevin, et al.. (2007). Trans-fatty acids induce pro-inflammatory responses and endothelial cell dysfunction. British Journal Of Nutrition. 99(4). 723–731. 50 indexed citations
15.
Antalis, Caryl J., Laura J. Stevens, Mary Lee Campbell, et al.. (2006). Omega-3 fatty acid status in attention-deficit/hyperactivity disorder. Prostaglandins Leukotrienes and Essential Fatty Acids. 75(4-5). 299–308. 138 indexed citations
16.
Antalis, Caryl J., Seymour Fogel, & Clinton E. Ballou. (1973). Genetic Control of Yeast Mannan Structure. Journal of Biological Chemistry. 248(13). 4655–4659. 30 indexed citations
17.
Raschke, William C., Kenneth A. Kern, Caryl J. Antalis, & Clinton E. Ballou. (1973). Genetic Control of Yeast Mannan Structure. Journal of Biological Chemistry. 248(13). 4660–4666. 125 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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