Amanda J. Hooper

3.8k total citations
107 papers, 2.3k citations indexed

About

Amanda J. Hooper is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amanda J. Hooper has authored 107 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Surgery, 42 papers in Endocrinology, Diabetes and Metabolism and 40 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amanda J. Hooper's work include Lipoproteins and Cardiovascular Health (70 papers), Lipid metabolism and disorders (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers). Amanda J. Hooper is often cited by papers focused on Lipoproteins and Cardiovascular Health (70 papers), Lipid metabolism and disorders (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers). Amanda J. Hooper collaborates with scholars based in Australia, Canada and United States. Amanda J. Hooper's co-authors include John R. Burnett, Damon A. Bell, Gerald F. Watts, Frank M. van Bockxmeer, A. David Marais, Donald Moshen Tanyanyiwa, Jing Pang, Robert A. Hegele, Leon A. Adams and David Sullivan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Amanda J. Hooper

102 papers receiving 2.2k citations

Peers

Amanda J. Hooper
R.P. Naoumova United Kingdom
William Duggan United States
Weijun Jin United States
R.P. Naoumova United Kingdom
Amanda J. Hooper
Citations per year, relative to Amanda J. Hooper Amanda J. Hooper (= 1×) peers R.P. Naoumova

Countries citing papers authored by Amanda J. Hooper

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda J. Hooper

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

All Works

20 of 20 papers shown
1.
Pang, Jing, Alan Woodward, Damon A. Bell, et al.. (2025). Enhancing the detection of familial hypercholesterolaemia in general practice: A model for supporting genetic cascade testing in the community. European Journal of Human Genetics. 34(2). 252–259.
2.
Loh, Wann Jia, Dick C. Chan, Jing Pang, et al.. (2024). Opportunistic Detection of Phytosterolemia During Genetic Testing for FH: Case Series and Contextual Review. The Journal of Clinical Endocrinology & Metabolism. 110(5). 1358–1364. 2 indexed citations
3.
Loh, Wann Jia, Jadegoud Yaligar, Amanda J. Hooper, et al.. (2024). Clinical and imaging features of women with polygenic partial lipodystrophy: a case series. Nutrition and Diabetes. 14(1). 3–3. 3 indexed citations
4.
Loh, Wann Jia, Jing Pang, Anindita Chakraborty, et al.. (2023). Cascade testing of children and adolescents for elevated Lp(a) in pedigrees with familial hypercholesterolaemia. Journal of clinical lipidology. 18(1). e33–e37. 5 indexed citations
5.
Page, Michael M., Katrina L. Ellis, Dick C. Chan, et al.. (2022). A variant in the fibronectin (FN1) gene, rs1250229-T, is associated with decreased risk of coronary artery disease in familial hypercholesterolaemia. Journal of clinical lipidology. 16(4). 525–529. 3 indexed citations
6.
Lacaze, Paul, Moeen Riaz, Robert Sebra, et al.. (2021). Protective lipid-lowering variants in healthy older individuals without coronary heart disease. Open Heart. 8(2). e001710–e001710. 3 indexed citations
7.
Napier, Kathryn, Amanda J. Hooper, Damon A. Bell, et al.. (2020). Design, development and deployment of a web-based patient registry for rare genetic lipid disorders. Pathology. 52(4). 447–452. 1 indexed citations
8.
Page, Michael M., Katrina L. Ellis, Jing Pang, et al.. (2020). Coronary artery disease and the risk-associated LPA variants, rs3798220 and rs10455872, in patients with suspected familial hypercholesterolaemia. Clinica Chimica Acta. 510. 211–215. 11 indexed citations
9.
Truong, Thanh Huong, Ngoc‐Thanh Kim, Mai Nguyen, et al.. (2018). Homozygous familial hypercholesterolaemia in Vietnam: Case series, genetics and cascade testing of families. Atherosclerosis. 277. 392–398. 12 indexed citations
10.
Lambert, Gilles, Francine Petrides, Mathias Chatelais, et al.. (2014). Elevated Plasma PCSK9 Level Is Equally Detrimental for Patients With Nonfamilial Hypercholesterolemia and Heterozygous Familial Hypercholesterolemia, Irrespective of Low-Density Lipoprotein Receptor Defects. Journal of the American College of Cardiology. 63(22). 2365–2373. 41 indexed citations
11.
Page, Michael M., Damon A. Bell, Amanda J. Hooper, Gerald F. Watts, & John R. Burnett. (2013). Lipoprotein apheresis and new therapies for severe familial hypercholesterolemia in adults and children. Best Practice & Research Clinical Endocrinology & Metabolism. 28(3). 387–403. 29 indexed citations
12.
Hooper, Amanda J., Leon A. Adams, Peter A. Robbins, et al.. (2013). Non-alcoholic steatohepatitis-related cirrhosis in a patient with APOB L343V familial hypobetalipoproteinaemia. Clinica Chimica Acta. 421. 121–125. 10 indexed citations
13.
Burnett, John R., Damon A. Bell, Amanda J. Hooper, & Robert A. Hegele. (2012). Clinical utility gene card for: Abetalipoproteinaemia. European Journal of Human Genetics. 20(8). 1–3. 17 indexed citations
14.
Hooper, Amanda J. & John R. Burnett. (2012). Anti-PCSK9 therapies for the treatment of hypercholesterolemia. Expert Opinion on Biological Therapy. 13(3). 429–435. 40 indexed citations
15.
Hooper, Amanda J., Leon A. Adams, & John R. Burnett. (2011). Genetic determinants of hepatic steatosis in man. Journal of Lipid Research. 52(4). 593–617. 112 indexed citations
16.
Burnett, John R., et al.. (2011). Familial hypercholesterolemia: epidemiology, Neolithic origins and modern geographic distribution. Critical Reviews in Clinical Laboratory Sciences. 48(1). 1–18. 49 indexed citations
17.
Bell, Damon A., Amanda J. Hooper, & John R. Burnett. (2011). Mipomersen, an antisense apolipoprotein B synthesis inhibitor. Expert Opinion on Investigational Drugs. 20(2). 265–272. 64 indexed citations
18.
Hooper, Amanda J., et al.. (2009). Extreme diabetic lipaemia associated with a novel lipoprotein lipase gene mutation. Clinica Chimica Acta. 406(1-2). 167–169. 8 indexed citations
19.
Hooper, Amanda J., et al.. (2008). A novel missense LIPA gene mutation, N98S, in a patient with cholesteryl ester storage disease. Clinica Chimica Acta. 398(1-2). 152–154. 16 indexed citations
20.
Needham, Merrilee, Amanda J. Hooper, Ian James, et al.. (2008). Apolipoprotein ε alleles in sporadic inclusion body myositis: A reappraisal. Neuromuscular Disorders. 18(2). 150–152. 12 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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