Michael A. Iacocca

1.6k citations
14 papers · 453 · h-index 9

Impact in

Papers in

Michael A. Iacocca

14 papers receiving 444 citations

Peers

Michael A. Iacocca
Comparison fields: 5 of 36
  • Cardiology and Cardiovascular Medicine 203
  • Surgery 234
  • Endocrinology, Diabetes and Metabolism 77
  • Cancer Research 51
  • Pathology and Forensic Medicine 32
Replace Ahmad Al‐Sarraf with:
Ahmad Al‐Sarraf Canada
Rossella Spina Italy
Arjen J. Cupido Netherlands
Lukáš Tichý Czechia
Ana Margarida Medeiros Portugal
Kenji Miwa Japan
Suzanne Lind Sweden
Anne-Tiina Lahdenkari Finland
Federico Oldoni United States
Junichi Koizumi Japan
Michael A. Iacocca relative to Ahmad Al‐Sarraf Canada Ahmad Al‐Sarraf's profile →
Citations per field
00.5×4.6×
Ahmad Al‐Sarraf · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael A. Iacocca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael A. Iacocca Line = papers co-authored together Michael A. Iacocca links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018156
2 201762
3 202056
4 201751
5 201835
6 201827
7 201824
8 201917
9 201911
10 20198
11 20183
12 20181
13 20181
14
Improving the genetic diagnosis of familial hypercholesterolemia
20191

About Michael A. Iacocca

Michael A. Iacocca is a scholar working on Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 14 papers that have together received 453 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Genetic factors in colorectal cancer (3 papers), Lipid metabolism and disorders (2 papers), Aortic Thrombus and Embolism (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cholesterol and Lipid Metabolism (1 paper), Cardiomyopathy and Myosin Studies (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Surgery (234 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cancer Research (51 citations) and Pathology and Forensic Medicine (32 citations). Michael A. Iacocca has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robert A. Hegele, Jacqueline S. Dron, Henian Cao, Adam D. McIntyre, Jian Wang, John F. Robinson, Clive R. Pullinger, Mary J. Malloy, Irina Movsesyan and John P. Kane. Their work appears in journals such as Current Opinion in Lipidology, Journal of Lipid Research, Atherosclerosis, Journal of clinical lipidology and Canadian Journal of Cardiology.

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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