Michael Cardamone

1.9k total citations
40 papers, 1.0k citations indexed

About

Michael Cardamone is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Michael Cardamone has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Psychiatry and Mental health. Recurrent topics in Michael Cardamone's work include Epilepsy research and treatment (7 papers), Protein purification and stability (6 papers) and Metabolism and Genetic Disorders (5 papers). Michael Cardamone is often cited by papers focused on Epilepsy research and treatment (7 papers), Protein purification and stability (6 papers) and Metabolism and Genetic Disorders (5 papers). Michael Cardamone collaborates with scholars based in Australia, United States and Singapore. Michael Cardamone's co-authors include N K Puri, John A. Lawson, Michelle A. Farrar, Danny Flanagan, Seán Kennedy, M R Brandon, Maya Chopra, David Mowat, Monique M. Ryan and Basil T. Darras and has published in prestigious journals such as Neurology, Biochemistry and Annals of Neurology.

In The Last Decade

Michael Cardamone

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Cardamone Australia 14 479 206 122 105 104 40 1.0k
Wei‐De Lin Taiwan 17 459 1.0× 70 0.3× 85 0.7× 25 0.2× 111 1.1× 67 911
Stefania Hanau Italy 21 764 1.6× 117 0.6× 198 1.6× 14 0.1× 99 1.0× 61 2.0k
Marı́a A. Günther Sillero Spain 27 1.3k 2.8× 95 0.5× 67 0.5× 26 0.2× 168 1.6× 75 1.8k
Gregor Schütze Germany 10 816 1.7× 128 0.6× 155 1.3× 41 0.4× 155 1.5× 13 1.4k
Lijuan Mo China 16 598 1.2× 107 0.5× 30 0.2× 20 0.2× 68 0.7× 52 1.7k
Toshio Yoshida Japan 24 740 1.5× 105 0.5× 19 0.2× 92 0.9× 98 0.9× 134 1.7k
Hervé Kovacic France 26 762 1.6× 247 1.2× 18 0.1× 71 0.7× 110 1.1× 66 1.8k
Eui Yul Choi South Korea 18 663 1.4× 58 0.3× 39 0.3× 36 0.3× 58 0.6× 43 1.1k
Jean‐Pierre Tenu France 22 788 1.6× 573 2.8× 29 0.2× 21 0.2× 62 0.6× 48 1.8k
J Armstrong Australia 17 670 1.4× 99 0.5× 20 0.2× 97 0.9× 75 0.7× 46 1.2k

Countries citing papers authored by Michael Cardamone

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cardamone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cardamone

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Cardamone. A scholar is included among the top collaborators of Michael Cardamone 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 Michael Cardamone. Michael Cardamone 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.
Chiu, Annie Ting Gee, Mark F. Bennett, Amy Schneider, et al.. (2025). Pathogenic Variants in RNU2‐2 , a Non‐coding Spliceosomal RNA , Cause a Distinctive Developmental and Epileptic Encephalopathy. Annals of Neurology. 99(1). 51–58. 1 indexed citations
2.
Cardamone, Michael, et al.. (2025). Lipid-based nanoparticles for nucleic acids delivery. Physical Sciences Reviews. 10(3). 317–338. 1 indexed citations
3.
Yan, Jingya, Velda X. Han, Hannah Jones, et al.. (2025). Cerebrospinal fluid metabolomics in autistic regression reveals dysregulation of sphingolipids and decreased β-hydroxybutyrate. EBioMedicine. 114. 105664–105664. 3 indexed citations
4.
Tsang, Erica S., Velda X. Han, Tracey Williams, et al.. (2024). Ketogenic diet modifies ribosomal protein dysregulation in KMT2D Kabuki syndrome. EBioMedicine. 104. 105156–105156. 7 indexed citations
5.
Ashton, Katie A., Ying Zhu, Futao Zhang, et al.. (2023). Integration of EpiSign, facial phenotyping, and likelihood ratio interpretation of clinical abnormalities in the re‐classification of an ARID1B missense variant. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(3). e32056–e32056. 3 indexed citations
6.
7.
Cardamone, Michael, et al.. (2018). Outcomes of deviation from treatment guidelines in status epilepticus: A systematic review. Seizure. 58. 147–153. 32 indexed citations
8.
Cardamone, Michael, Corinne E. Joshu, Nrupen A. Bhavsar, et al.. (2018). Cost implications of PSA screening differ by age. BMC Urology. 18(1). 38–38. 9 indexed citations
9.
Carey, Kate A., et al.. (2018). Myotonic dystrophy type 1: clinical manifestations in children and adolescents. Archives of Disease in Childhood. 104(1). 48–52. 35 indexed citations
10.
Farrar, Michelle A., Michael Cardamone, Deepak Gill, et al.. (2018). Cannabidiol for treating drug‐resistant epilepsy in children: the New South Wales experience. The Medical Journal of Australia. 209(5). 217–221. 30 indexed citations
11.
Asakai, Hiroko, et al.. (2017). Risk Factors for Peri-Procedural Arterial Ischaemic Stroke in Children with Cardiac Disease. Pediatric Cardiology. 38(7). 1385–1392. 4 indexed citations
12.
Widger, John, et al.. (2016). Quality of life and excessive daytime sleepiness in children and adolescents with myotonic dystrophy type 1. Sleep Medicine. 32. 92–96. 11 indexed citations
13.
Mackie, Fiona, et al.. (2015). Ten-Year Single-Center Experience of the Ketogenic Diet: Factors Influencing Efficacy, Tolerability, and Compliance. The Journal of Pediatrics. 166(4). 1030–1036.e1. 59 indexed citations
14.
Palmer, Elizabeth E., Rani Sachdev, Michael Cardamone, et al.. (2015). Asparagine Synthetase Deficiency causes reduced proliferation of cells under conditions of limited asparagine. Molecular Genetics and Metabolism. 116(3). 178–186. 39 indexed citations
15.
Cardamone, Michael, Danny Flanagan, David Mowat, et al.. (2014). Mammalian Target of Rapamycin Inhibitors for Intractable Epilepsy and Subependymal Giant Cell Astrocytomas in Tuberous Sclerosis Complex. The Journal of Pediatrics. 164(5). 1195–1200. 101 indexed citations
16.
Kamien, Benjamin, Michael Cardamone, John A. Lawson, & Rani Sachdev. (2012). A genetic diagnostic approach to infantile epileptic encephalopathies. Journal of Clinical Neuroscience. 19(7). 934–941. 19 indexed citations
17.
Cardamone, Michael, et al.. (1998). Sustained-release delivery systems and their application for endoparasite control in animals. Journal of Controlled Release. 51(1). 73–83. 2 indexed citations
18.
Cardamone, Michael, N K Puri, William H. Sawyer, Robert J. Capon, & Malcolm R. Brandon. (1994). A spectroscopic and equilibrium binding analysis of cationic detergent-protein interactions using soluble and insoluble recombinant porcine growth hormone. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1206(1). 71–82. 11 indexed citations
19.
Puri, N K, et al.. (1993). Characterization of a Truncated Form of Recombinant Porcine Growth Hormone Generated in Vitro During Solubilization of Inclusion Bodies. Protein Expression and Purification. 4(2). 164–175. 3 indexed citations
20.

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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