Michael A. Iacocca

1.5k total citations
14 papers, 438 citations indexed

About

Michael A. Iacocca is a scholar working on Surgery, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Michael A. Iacocca has authored 14 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 5 papers in Pathology and Forensic Medicine and 5 papers in Genetics. Recurrent topics in Michael A. Iacocca's work include Lipoproteins and Cardiovascular Health (11 papers), Genetic factors in colorectal cancer (5 papers) and Genetic Associations and Epidemiology (4 papers). Michael A. Iacocca is often cited by papers focused on Lipoproteins and Cardiovascular Health (11 papers), Genetic factors in colorectal cancer (5 papers) and Genetic Associations and Epidemiology (4 papers). Michael A. Iacocca collaborates with scholars based in Canada, United States and United Kingdom. Michael A. Iacocca's co-authors include Robert A. Hegele, Jacqueline S. Dron, Jian Wang, Adam D. McIntyre, Henian Cao, John F. Robinson, Clive R. Pullinger, Irina Movsesyan, Mary J. Malloy and John P. Kane and has published in prestigious journals such as Journal of Lipid Research, Atherosclerosis and Current Opinion in Lipidology.

In The Last Decade

Michael A. Iacocca

14 papers receiving 429 citations

Peers

Michael A. Iacocca

SURGE

CCM

EDM

GENET

KaWah Li United Kingdom

Kees Hovingh Netherlands

E. Langenhoven South Africa

Ana Margarida Medeiros Portugal

Kenji Miwa Japan

Silvia Langheim Italy

Rose Snipes United States

Anne-Tiina Lahdenkari Finland

Jeroen A. Sierts Netherlands

Anne Tybjærg-Hansen Denmark

KaWah Li United Kingdom

Michael A. Iacocca

490 ×1.8

SURGE

152 ×0.7

CCM

168 ×1.2

EDM

112 ×1.1

GENET

60 ×0.6

Citations per year, relative to Michael A. Iacocca Michael A. Iacocca (= 1×) peers KaWah Li

Countries citing papers authored by Michael A. Iacocca

Since Specialization

Citations

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

Fields of papers citing papers by Michael A. Iacocca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Iacocca

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

All Works

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14 of 14 papers shown

Dron, Jacqueline S., Jian Wang, Adam D. McIntyre, et al.. (2020). Six years’ experience with LipidSeq: clinical and research learnings from a hybrid, targeted sequencing panel for dyslipidemias. BMC Medical Genomics. 13(1). 23–23. 54 indexed citations

Zhao, Pei, Matthew R. Ban, Michael A. Iacocca, et al.. (2019). Genetic Determinants of Myocardial Infarction Risk in Familial Hypercholesterolemia. CJC Open. 1(5). 225–230. 11 indexed citations

Lee, Timothy, Michael A. Iacocca, Matthew R. Ban, & Robert A. Hegele. (2019). Efficacy of Evolocumab in Monogenic vs Polygenic Hypercholesterolemia. CJC Open. 1(3). 115–118. 8 indexed citations

Iacocca, Michael A.. (2019). Improving the genetic diagnosis of familial hypercholesterolemia. Scholarship@Western (Western University). 1 indexed citations

Iacocca, Michael A., Jacqueline S. Dron, & Robert A. Hegele. (2019). Progress in finding pathogenic DNA copy number variations in dyslipidemia. Current Opinion in Lipidology. 30(2). 63–70. 17 indexed citations

Iacocca, Michael A., Jian Wang, Jacqueline S. Dron, et al.. (2018). Whole-Gene Duplication of PCSK9 as a Novel Genetic Mechanism for Severe Familial Hypercholesterolemia. Canadian Journal of Cardiology. 34(10). 1316–1324. 34 indexed citations

Iacocca, Michael A., Jacqueline S. Dron, H. Cao, et al.. (2018). DNA copy number variation screening in familial hypercholesterolemia-related genes. Atherosclerosis. 275. e79–e79. 1 indexed citations

Dron, Jacqueline S., Jian Wang, Henian Cao, et al.. (2018). Severe hypertriglyceridemia is primarily polygenic. Journal of clinical lipidology. 13(1). 80–88. 147 indexed citations

Iacocca, Michael A. & Robert A. Hegele. (2018). Role of DNA copy number variation in dyslipidemias. Current Opinion in Lipidology. 29(2). 125–132. 26 indexed citations

10.

Iacocca, Michael A., Joana Rita Chora, Alain Carrié, et al.. (2018). Adaptation of ACMG/AMP Guidelines for Standardized Variant Interpretation in Familial Hypercholesterolemia. Atherosclerosis Supplements. 32. 51–51. 1 indexed citations

11.

Chora, Joana Rita, Michael A. Iacocca, Alain Carrié, et al.. (2018). Adaptation of ACMG/AMP guidelines for variant interpretation in familial hypercholesterolemia - A clingen fh expert panel pilot study. Atherosclerosis. 275. e98–e98. 3 indexed citations

12.

Dron, Jacqueline S., Jian Wang, Amanda J. Berberich, et al.. (2018). Large-scale deletions of the ABCA1 gene in patients with hypoalphalipoproteinemia. Journal of Lipid Research. 59(8). 1529–1535. 24 indexed citations

13.

Iacocca, Michael A., Jian Wang, Jacqueline S. Dron, et al.. (2017). Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia. Journal of Lipid Research. 58(11). 2202–2209. 60 indexed citations

14.

Iacocca, Michael A. & Robert A. Hegele. (2017). Recent advances in genetic testing for familial hypercholesterolemia. Expert Review of Molecular Diagnostics. 17(7). 641–651. 51 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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