John Cardinal

1.3k total citations
35 papers, 828 citations indexed

About

John Cardinal is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, John Cardinal has authored 35 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Genetics. Recurrent topics in John Cardinal's work include Neuroendocrine Tumor Research Advances (4 papers), Parathyroid Disorders and Treatments (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). John Cardinal is often cited by papers focused on Neuroendocrine Tumor Research Advances (4 papers), Parathyroid Disorders and Treatments (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). John Cardinal collaborates with scholars based in Australia, United States and Sweden. John Cardinal's co-authors include Donald P. Cameron, Bin Tean Teh, Peter S.W. Davies, Rebecca J. Hill, Claire Wainwright, Catharina Larsson, Birgitta Sundelin, Filip Farnebo, Mara Epstein and Ulf Kristoffersson and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

John Cardinal

35 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Cardinal Australia 16 256 203 168 145 140 35 828
Jonathan Levi United Kingdom 12 276 1.1× 119 0.6× 64 0.4× 272 1.9× 72 0.5× 25 910
Michael Thompson Australia 15 190 0.7× 250 1.2× 119 0.7× 204 1.4× 32 0.2× 28 911
W Wassif United Kingdom 14 99 0.4× 129 0.6× 66 0.4× 58 0.4× 53 0.4× 31 498
Sung Dae Moon South Korea 15 218 0.9× 93 0.5× 61 0.4× 165 1.1× 54 0.4× 50 699
Jie Wen China 17 245 1.0× 236 1.2× 55 0.3× 99 0.7× 39 0.3× 37 843
Engın Güney Türkiye 16 78 0.3× 141 0.7× 47 0.3× 243 1.7× 66 0.5× 52 884
Jin Ook Chung South Korea 14 256 1.0× 174 0.9× 62 0.4× 109 0.8× 38 0.3× 64 718
Takahisa Tanikawa Japan 12 169 0.7× 82 0.4× 47 0.3× 73 0.5× 40 0.3× 27 646
Tao-Yeuan Wang Taiwan 17 252 1.0× 102 0.5× 39 0.2× 113 0.8× 94 0.7× 23 676
Mirjana Šumarac-Dumanović Serbia 14 440 1.7× 235 1.2× 60 0.4× 158 1.1× 39 0.3× 45 1.0k

Countries citing papers authored by John Cardinal

Since Specialization
Citations

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

Fields of papers citing papers by John Cardinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Cardinal

This figure shows the co-authorship network connecting the top 25 collaborators of John Cardinal. A scholar is included among the top collaborators of John Cardinal 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 John Cardinal. John Cardinal 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.
2.
Cardinal, John, et al.. (2018). SYNE1-related Autosomal Recessive Cerebellar Ataxia, Congenital Cerebellar Hypoplasia, and Cognitive Impairment. SHILAP Revista de lepidopterología. 8(3). 1071–1071. 9 indexed citations
3.
Coman, David, Lisenka E.L.M. Vissers, Lisa G. Riley, et al.. (2018). Squalene Synthase Deficiency: Clinical, Biochemical, and Molecular Characterization of a Defect in Cholesterol Biosynthesis. The American Journal of Human Genetics. 103(1). 125–130. 23 indexed citations
4.
Menezes, Minal, Wendy Gold, Lisa G. Riley, et al.. (2018). Tread carefully: A functional variant in the human NADPH oxidase 4 ( NOX4 ) is not disease causing. Molecular Genetics and Metabolism. 123(3). 382–387. 1 indexed citations
5.
Weintraub, Robert G., et al.. (2017). Mitochondrial Trifunctional Protein Deficiency: Severe Cardiomyopathy and Cardiac Transplantation. JIMD Reports. 40. 91–95. 5 indexed citations
6.
7.
Truby, Helen, Kimberley A. Baxter, Robert S. Ware, et al.. (2016). A Randomized Controlled Trial of Two Different Macronutrient Profiles on Weight, Body Composition and Metabolic Parameters in Obese Adolescents Seeking Weight Loss. PLoS ONE. 11(3). e0151787–e0151787. 27 indexed citations
8.
Cardinal, John, et al.. (2016). DMP1-CDG (CDG1e) with Significant Gastrointestinal Manifestations; Phenotype and Genotype Expansion. JIMD Reports. 34. 27–32. 11 indexed citations
9.
Shultz, Sarah P., Arun Dahiya, Christopher Flatley, et al.. (2015). Relation of Reduced Preclinical Left Ventricular Diastolic Function and Cardiac Remodeling in Overweight Youth to Insulin Resistance and Inflammation. The American Journal of Cardiology. 115(9). 1222–1228. 32 indexed citations
10.
Cardinal, John, Nuala M. Byrne, Andrew P. Hills, et al.. (2014). Resistance training improves metainflammation and body composition in obese adolescents. Endocrine Reviews. 35. 1–1. 1 indexed citations
11.
12.
Cardinal, John, et al.. (2010). Asthma and insulin resistance in children. Respirology. 15(5). 779–784. 72 indexed citations
13.
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
14.
Mollah, Zia U.A., Saparna Pai, Brendan O’Sullivan, et al.. (2008). Abnormal NF-κB Function Characterizes Human Type 1 Diabetes Dendritic Cells and Monocytes. The Journal of Immunology. 180(5). 3166–3175. 60 indexed citations
15.
Cardinal, John, et al.. (2005). A report of a national mutation testing service for the MEN1 gene: clinical presentations and implications for mutation testing. Journal of Medical Genetics. 42(1). 69–74. 39 indexed citations
16.
Cardinal, John, et al.. (2003). Autosomal Dominant Hypocalcemia: A Novel Activating Mutation (E604K) in the Cysteine-Rich Domain of the Calcium-Sensing Receptor. The Journal of Clinical Endocrinology & Metabolism. 88(2). 605–610. 34 indexed citations
17.
Cardinal, John, Geoffrey P. Margison, K. Mynett, et al.. (2001). Increased Susceptibility to Streptozotocin-Induced β-Cell Apoptosis and Delayed Autoimmune Diabetes in Alkylpurine- DNA- N -Glycosylase-Deficient Mice. Molecular and Cellular Biology. 21(16). 5605–5613. 58 indexed citations
18.
Bergman, Lee, Bin Tean Teh, John Cardinal, et al.. (2000). Identification of MEN1 gene mutations in families with MEN 1 and related disorders. British Journal of Cancer. 83(8). 1009–1014. 49 indexed citations
19.
Cardinal, John, David J. Allan, & Donald P. Cameron. (1998). Differential Metabolite Accumulation May Be the Cause of Strain Differences in Sensitivity to Streptozotocin-Induced β Cell Death in Inbred Mice*. Endocrinology. 139(6). 2885–2891. 20 indexed citations
20.
Teh, Bin Tean, John Cardinal, J. J. Shepherd, et al.. (1995). Genetic mapping of the multiple endocrine neoplasia type 1 locus at 11q13. Journal of Internal Medicine. 238(3). 249–253. 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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