Ivan Macciocca

2.8k total citations
36 papers, 928 citations indexed

About

Ivan Macciocca is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Ivan Macciocca has authored 36 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 14 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Ivan Macciocca's work include Cardiomyopathy and Myosin Studies (15 papers), Genomics and Rare Diseases (11 papers) and BRCA gene mutations in cancer (5 papers). Ivan Macciocca is often cited by papers focused on Cardiomyopathy and Myosin Studies (15 papers), Genomics and Rare Diseases (11 papers) and BRCA gene mutations in cancer (5 papers). Ivan Macciocca collaborates with scholars based in Australia, United Kingdom and United States. Ivan Macciocca's co-authors include Clara Gaff, Jodie Ingles, Zornitza Stark, Susan M. White, Christopher Semsarian, Laura Yeates, Deborah Schofield, William Wilson, Khurshid Alam and Rupendra Shrestha and has published in prestigious journals such as The Lancet, European Heart Journal and Journal of Medical Genetics.

In The Last Decade

Ivan Macciocca

34 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Macciocca Australia 16 407 319 211 95 86 36 928
Wilhelmina S. Kerstjens‐Frederikse Netherlands 21 287 0.7× 402 1.3× 557 2.6× 13 0.1× 111 1.3× 50 1.4k
M.P. Sachdeva India 15 66 0.2× 195 0.6× 159 0.8× 74 0.8× 34 0.4× 83 810
Gerdine A. Kamp Netherlands 18 155 0.4× 283 0.9× 430 2.0× 32 0.3× 51 0.6× 34 1.1k
Cécile Teinturier France 14 93 0.2× 317 1.0× 389 1.8× 43 0.5× 45 0.5× 28 1.2k
Manuela Caruso‐Nicoletti Italy 12 40 0.1× 257 0.8× 259 1.2× 72 0.8× 86 1.0× 41 876
Marieke J.H. Baars Netherlands 16 364 0.9× 394 1.2× 415 2.0× 13 0.1× 44 0.5× 34 990
Jose Bernardo Quintos United States 16 106 0.3× 357 1.1× 430 2.0× 11 0.1× 24 0.3× 59 1.2k
Catherine Potter United Kingdom 14 31 0.1× 89 0.3× 404 1.9× 55 0.6× 88 1.0× 20 912
Carles Zafón Spain 18 20 0.0× 139 0.4× 252 1.2× 59 0.6× 44 0.5× 73 968
C. P. Schwarze Germany 15 111 0.3× 249 0.8× 234 1.1× 33 0.3× 6 0.1× 26 671

Countries citing papers authored by Ivan Macciocca

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Macciocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Macciocca

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Macciocca. A scholar is included among the top collaborators of Ivan Macciocca 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 Ivan Macciocca. Ivan Macciocca 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.
Connell, V., et al.. (2025). Young people’s experience of predictive genetic testing for inherited cardiac conditions: a qualitative study. European Journal of Human Genetics. 34(3). 404–410.
2.
Patel, Chirag, John Christodoulou, Belinda McClaren, et al.. (2024). A national education program for rapid genomics in pediatric acute care: Building workforce confidence, competence, and capability. Genetics in Medicine. 26(10). 101224–101224. 3 indexed citations
3.
Downie, Lilian, David J. Amor, John Christodoulou, et al.. (2024). Gene selection for genomic newborn screening: Moving toward consensus?. Genetics in Medicine. 26(5). 101077–101077. 21 indexed citations
4.
Singer, Emma S., Mira Holliday, Sean Lal, et al.. (2023). The burden of splice-disrupting variants in inherited heart disease and unexplained sudden cardiac death. npj Genomic Medicine. 8(1). 29–29. 5 indexed citations
5.
Lee, Ling, Fiona Lynch, Melissa Martyn, et al.. (2023). Two-step offer and return of multiple types of additional genomic findings to families after ultrarapid trio genomic testing in the acute care setting: a study protocol. BMJ Open. 13(6). e072999–e072999. 7 indexed citations
6.
Bagnall, Richard D., Emma S. Singer, Julie Wacker, et al.. (2022). Genetic Basis of Childhood Cardiomyopathy. Circulation Genomic and Precision Medicine. 15(6). e003686–e003686. 18 indexed citations
7.
Richmond, Christopher M., Paul A. James, Belinda Chong, et al.. (2021). Clinical and laboratory reporting impact of ACMG-AMP and modified ClinGen variant classification frameworks in MYH7-related cardiomyopathy. Genetics in Medicine. 23(6). 1108–1115. 13 indexed citations
8.
Lynch, Fiona, Sharon Lewis, Ivan Macciocca, & Jeffrey M. Craig. (2021). Public knowledge and opinion of epigenetics and epigenetic concepts. Journal of Developmental Origins of Health and Disease. 13(4). 431–440. 7 indexed citations
9.
Bylstra, Yasmin, et al.. (2018). Experience of Asian males communicating cardiac genetic risk within the family. Journal of Community Genetics. 9(3). 293–303. 2 indexed citations
10.
Stark, Zornitza, Harriet Dashnow, Sebastian Lunke, et al.. (2017). A clinically driven variant prioritization framework outperforms purely computational approaches for the diagnostic analysis of singleton WES data. European Journal of Human Genetics. 25(11). 1268–1272. 13 indexed citations
11.
12.
Sadedin, Simon, Harriet Dashnow, Paul A. James, et al.. (2015). Cpipe: a shared variant detection pipeline designed for diagnostic settings. Genome Medicine. 7(1). 54 indexed citations
13.
Olaussen, Alexander, A. Beale, Ivan Macciocca, & A. Ellims. (2014). Family screening in hypertrophic cardiomyopathy is underperformed, but can be improved by a specialised clinic. Internal Medicine Journal. 44(7). 665–670. 2 indexed citations
14.
Beale, A., Ivan Macciocca, Alexander Olaussen, et al.. (2014). Clinical benefits of a specialised clinic for hypertrophic cardiomyopathy. Internal Medicine Journal. 45(3). 255–260. 3 indexed citations
15.
Ellims, A., L. Iles, Liang‐Han Ling, et al.. (2014). A comprehensive evaluation of myocardial fibrosis in hypertrophic cardiomyopathy with cardiac magnetic resonance imaging: linking genotype with fibrotic phenotype. European Heart Journal - Cardiovascular Imaging. 15(10). 1108–1116. 72 indexed citations
16.
Ingles, Jodie, Tanya Sarina, Laura Yeates, et al.. (2013). Clinical predictors of genetic testing outcomes in hypertrophic cardiomyopathy. Genetics in Medicine. 15(12). 972–977. 85 indexed citations
17.
Delatycki, Martin B., Veronica Collins, Katrina J. Allen, et al.. (2012). ironXS: high-school screening for hereditary haemochromatosis is acceptable and feasible. European Journal of Human Genetics. 20(5). 505–509. 8 indexed citations
18.
Rahman, Belinda, et al.. (2011). Adolescents with Implantable Cardioverter Defibrillators: A Patient and Parent Perspective. Pacing and Clinical Electrophysiology. 35(1). 62–72. 38 indexed citations
19.
20.
Delatycki, MB, Katrina J. Allen, Amy Nisselle, et al.. (2005). Use of community genetic screening to prevent HFE-associated hereditary haemochromatosis. The Lancet. 366(9482). 314–316. 73 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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Breakdown of academic impact, for papers by Wilhelmina S. Kerstjens‐Frederikse Breakdown of academic impact, for papers by M.P. Sachdeva Breakdown of academic impact, for papers by Gerdine A. Kamp Breakdown of academic impact, for papers by Cécile Teinturier Breakdown of academic impact, for papers by Manuela Caruso‐Nicoletti Breakdown of academic impact, for papers by Marieke J.H. Baars Breakdown of academic impact, for papers by Jose Bernardo Quintos Breakdown of academic impact, for papers by Catherine Potter Breakdown of academic impact, for papers by Carles Zafón Breakdown of academic impact, for papers by C. P. Schwarze
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