Joanne T.E. Shaw

597 total citations
17 papers, 457 citations indexed

About

Joanne T.E. Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Joanne T.E. Shaw has authored 17 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Joanne T.E. Shaw's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Joanne T.E. Shaw is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Joanne T.E. Shaw collaborates with scholars based in Australia, United Kingdom and United States. Joanne T.E. Shaw's co-authors include Janine Kesting, David L. Duffy, David A. Good, Frances Busfield, Paul K. Lovelock, J Lévy, Andrew T. Hattersley, John Roger Andersen, Robert C. Turner and R. C. Turner and has published in prestigious journals such as Diabetes, The American Journal of Human Genetics and Journal of Bone and Mineral Research.

In The Last Decade

Joanne T.E. Shaw

16 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne T.E. Shaw Australia 10 182 143 133 108 100 17 457
Janine Kesting Australia 8 136 0.7× 140 1.0× 92 0.7× 44 0.4× 67 0.7× 13 340
Åsa Ågren Sweden 9 99 0.5× 86 0.6× 147 1.1× 92 0.9× 42 0.4× 9 435
Kalpana Muthusamy United States 8 245 1.3× 94 0.7× 76 0.6× 197 1.8× 86 0.9× 14 482
Paul Taelman Belgium 7 133 0.7× 71 0.5× 112 0.8× 532 4.9× 41 0.4× 8 636
Yunyang Deng China 13 63 0.3× 88 0.6× 48 0.4× 88 0.8× 54 0.5× 29 433
Pei Du China 14 145 0.8× 89 0.6× 30 0.2× 33 0.3× 69 0.7× 37 481
Katherine D. Henderson United States 11 81 0.4× 193 1.3× 126 0.9× 147 1.4× 69 0.7× 12 602
Pauline Smit Netherlands 8 52 0.3× 56 0.4× 62 0.5× 161 1.5× 29 0.3× 10 324
Dominika Januś Poland 10 150 0.8× 23 0.2× 73 0.5× 136 1.3× 87 0.9× 50 413
Lillian Haddock Puerto Rico 8 108 0.6× 173 1.2× 33 0.2× 77 0.7× 36 0.4× 11 407

Countries citing papers authored by Joanne T.E. Shaw

Since Specialization
Citations

This map shows the geographic impact of Joanne T.E. Shaw'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 Joanne T.E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne T.E. Shaw more than expected).

Fields of papers citing papers by Joanne T.E. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne T.E. Shaw. 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 Joanne T.E. Shaw. The network helps show where Joanne T.E. Shaw may publish in the future.

Co-authorship network of co-authors of Joanne T.E. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Joanne T.E. Shaw. A scholar is included among the top collaborators of Joanne T.E. Shaw 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 Joanne T.E. Shaw. Joanne T.E. Shaw 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.
Good, David A., et al.. (2019). Noncoding Variations in the Gene Encoding Ceramide Synthase 6 are Associated with Type 2 Diabetes in a Large Indigenous Australian Pedigree. Twin Research and Human Genetics. 22(2). 79–87. 1 indexed citations
2.
Good, David A., John Cardinal, Robert S. Ware, et al.. (2008). Susceptibility to insulin resistance in indigenous Australians may be down stream of resistin.. 16(1). 1–6. 1 indexed citations
3.
Haluska, Brian, et al.. (2008). Correlates of preclinical cardiovascular disease in Indigenous and Non-Indigenous Australians: a case control study. Cardiovascular Ultrasound. 6(1). 36–36. 2 indexed citations
4.
Ware, Robert S., et al.. (2007). Association between anthropometric measures of obesity and cardiovascular risk markers in a self-selected group of indigenous Australians. European Journal of Cardiovascular Prevention & Rehabilitation. 14(4). 515–517. 6 indexed citations
5.
6.
Ware, Robert S., et al.. (2006). Short term efficacy of a lifestyle intervention programme on cardiovascular health outcome in overweight Indigenous Australians with and without type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 75(1). 65–71. 29 indexed citations
7.
Busfield, Frances, Brian Haluska, Adrian Barnett, et al.. (2005). Carotid artery intimal medial thickness, brachial artery flow-mediated vasodilation and cardiovascular risk factors in diabetic and non-diabetic indigenous Australians. Atherosclerosis. 180(2). 319–326. 11 indexed citations
8.
Ware, Robert S., et al.. (2005). Short term efficacy of a lifestyle intervention programme on cardiovascular health outcome in overweight indigenous Australians with and without type 2 diabetes mellitus. Queensland's institutional digital repository (The University of Queensland). 126–126. 1 indexed citations
9.
Good, David A., Frances Busfield, Paul K. Lovelock, et al.. (2004). Identification of SQSTM1 mutations in familial Paget's disease in Australian pedigrees. Bone. 35(1). 277–282. 48 indexed citations
10.
Busfield, Frances, David L. Duffy, Janine Kesting, et al.. (2002). A Genomewide Search for Type 2 Diabetes–Susceptibility Genes in Indigenous Australians. The American Journal of Human Genetics. 70(2). 349–357. 68 indexed citations
11.
Good, David A., Frances Busfield, David L. Duffy, et al.. (2002). Linkage of Paget Disease of Bone to a Novel Region on Human Chromosome 18q23. The American Journal of Human Genetics. 70(2). 517–525. 65 indexed citations
12.
Tate, Jillian R., Michael M. Hoffmann, Paul K. Lovelock, Janine Kesting, & Joanne T.E. Shaw. (2001). Identification of an apolipoprotein(e) variant associated with type III hyperlipoproteinaemia in an indigenous Australian. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 38(1). 46–53. 6 indexed citations
13.
Good, David A., Frances Busfield, David L. Duffy, et al.. (2001). Familial Paget's Disease of Bone: Nonlinkage to the PDB1 and PDB2 Loci on Chromosomes 6p and 18q in a Large Pedigree. Journal of Bone and Mineral Research. 16(1). 33–38. 30 indexed citations
14.
Shaw, Joanne T.E., D. Purdie, H. A. W. Neil, J Lévy, & R. C. Turner. (1999). The relative risks of hyperglycaemia, obesity and dyslipidaemia in the relatives of patients with Type II diabetes mellitus (Short Communication). Diabetologia. 42(1). 24–27. 49 indexed citations
15.
Shaw, Joanne T.E., Paul K. Lovelock, Janine Kesting, et al.. (1998). Novel susceptibility gene for late-onset NIDDM is localized to human chromosome 12q.. Diabetes. 47(11). 1793–1796. 61 indexed citations
16.
Turner, R. C., et al.. (1995). Type II diabetes: clinical aspects of molecular biological studies. Diabetes. 44(1). 1–10. 20 indexed citations
17.
Turner, Robert C., Andrew T. Hattersley, Joanne T.E. Shaw, & J Lévy. (1995). Type II Diabetes: Clinical Aspects of Molecular Biological Studies. Diabetes. 44(1). 1–10. 59 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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