Iulia Iatan

489 total citations
22 papers, 369 citations indexed

About

Iulia Iatan is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Iulia Iatan has authored 22 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Iulia Iatan's work include Cholesterol and Lipid Metabolism (10 papers), Lipoproteins and Cardiovascular Health (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Iulia Iatan is often cited by papers focused on Cholesterol and Lipid Metabolism (10 papers), Lipoproteins and Cardiovascular Health (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Iulia Iatan collaborates with scholars based in Canada, United States and Finland. Iulia Iatan's co-authors include Jacques Genest, Isabelle L. Ruel, Larbi Krimbou, Anouar Hafiane, Dana Bailey, Maxime Denis, Daphna Weissglas‐Volkov, Hong Y. Choi, G.B. John Mancini and Karin H. Humphries and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and European Heart Journal.

In The Last Decade

Iulia Iatan

18 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iulia Iatan Canada 12 246 156 100 87 61 22 369
Zhaosha Li Netherlands 8 202 0.8× 147 0.9× 115 1.1× 97 1.1× 53 0.9× 9 409
Bart Lammers Netherlands 10 255 1.0× 187 1.2× 108 1.1× 85 1.0× 104 1.7× 15 473
Brian Fulp United States 7 196 0.8× 189 1.2× 184 1.8× 88 1.0× 61 1.0× 7 472
Silvère Baron France 13 242 1.0× 165 1.1× 132 1.3× 71 0.8× 84 1.4× 16 467
Sonika Saddar United States 5 135 0.5× 174 1.1× 38 0.4× 64 0.7× 51 0.8× 5 344
Sumihiko Hagita Japan 8 101 0.4× 147 0.9× 23 0.2× 58 0.7× 47 0.8× 12 404
Takamasa Nishiuchi Japan 11 139 0.6× 86 0.6× 76 0.8× 109 1.3× 48 0.8× 25 328
Steve J. Demosky United States 4 279 1.1× 180 1.2× 109 1.1× 86 1.0× 103 1.7× 5 372
Nobuto Okamoto Japan 12 97 0.4× 121 0.8× 71 0.7× 79 0.9× 15 0.2× 23 342
Michitsugu Nakamura Japan 9 87 0.4× 218 1.4× 34 0.3× 24 0.3× 76 1.2× 9 363

Countries citing papers authored by Iulia Iatan

Since Specialization
Citations

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

Fields of papers citing papers by Iulia Iatan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iulia Iatan

This figure shows the co-authorship network connecting the top 25 collaborators of Iulia Iatan. A scholar is included among the top collaborators of Iulia Iatan 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 Iulia Iatan. Iulia Iatan 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.
Iatan, Iulia, et al.. (2025). The need for national and international registries of patients with elevated lipoprotein(a). Current Opinion in Lipidology. 36(3). 105–110.
2.
Lawler, Patrick R., et al.. (2025). Impact of Selective Peroxisome Proliferator-Activated Receptor (PPAR)-α Modulators and Fibrates on Microvascular Disease: Is There Still Room?. Current Atherosclerosis Reports. 27(1). 39–39. 1 indexed citations
3.
Iatan, Iulia, Leo E. Akioyamen, Isabelle L. Ruel, et al.. (2024). Sex differences in treatment of familial hypercholesterolaemia: a meta-analysis. European Heart Journal. 45(35). 3231–3250. 14 indexed citations
4.
Choi, Hong Y., et al.. (2023). Biomedical Advances in ABCA1 Transporter: From Bench to Bedside. Biomedicines. 11(2). 561–561. 7 indexed citations
5.
Mancini, G.B.John, et al.. (2023). LDL-C Estimation Equation Performance Characteristics Highlight Value of Preferentially Using Non-HDL Cholesterol or Directly Measured Apolipoprotein B. Canadian Journal of Cardiology. 39(7). 963–966. 1 indexed citations
6.
Iatan, Iulia, et al.. (2023). Atherosclerotic Coronary Plaque Regression and Risk of Adverse Cardiovascular Events. JAMA Cardiology. 8(10). 937–937. 28 indexed citations
7.
Khan, Nadia, et al.. (2023). PS-BPR02-6: NOT FOR THE FAINT OF HEART: A CASE REPORT OF BRADYCARDIA INDUCED HYPERTENSION. Journal of Hypertension. 41(Suppl 1). e350–e350.
8.
Iatan, Iulia, Hong Y. Choi, & Jacques Genest. (2022). High-Density Lipoprotein and Cardiovascular Disease—Where do We Stand?. Endocrinology and Metabolism Clinics of North America. 51(3). 557–572. 5 indexed citations
9.
Iatan, Iulia, Todd C. Lee, & Emily G. McDonald. (2021). Tenofovir-induced osteomalacia with hypophosphataemia. BMJ Case Reports. 14(5). e240387–e240387.
10.
Iatan, Iulia, Hong Y. Choi, Isabelle L. Ruel, et al.. (2014). The WWOX Gene Modulates High-Density Lipoprotein and Lipid Metabolism. Circulation Cardiovascular Genetics. 7(4). 491–504. 36 indexed citations
11.
Reddy, Mitsu, Iulia Iatan, Daphna Weissglas‐Volkov, et al.. (2012). Exome Sequencing Identifies 2 Rare Variants for Low High-Density Lipoprotein Cholesterol in an Extended Family. Circulation Cardiovascular Genetics. 5(5). 538–546. 15 indexed citations
12.
Iatan, Iulia, et al.. (2012). Genetics of Cholesterol Efflux. Current Atherosclerosis Reports. 14(3). 235–246. 13 indexed citations
13.
Iatan, Iulia, Dana Bailey, Isabelle L. Ruel, et al.. (2011). Membrane microdomains modulate oligomeric ABCA1 function: impact on apoAI-mediated lipid removal and phosphatidylcholine biosynthesis. Journal of Lipid Research. 52(11). 2043–2055. 27 indexed citations
14.
Bailey, Dana, Isabelle L. Ruel, Anouar Hafiane, et al.. (2009). Analysis of lipid transfer activity between model nascent HDL particles and plasma lipoproteins: implications for current concepts of nascent HDL maturation and genesis. Journal of Lipid Research. 51(4). 785–797. 27 indexed citations
15.
Iatan, Iulia, Zari Dastani, Ron Do, et al.. (2009). Genetic Variation at the Proprotein Convertase Subtilisin/Kexin Type 5 Gene Modulates High-Density Lipoprotein Cholesterol Levels. Circulation Cardiovascular Genetics. 2(5). 467–475. 27 indexed citations
16.
Iatan, Iulia, Khalid Al‐Rasadi, Isabelle L. Ruel, Khalid Al-Waili, & Jacques Genest. (2008). Effect of ABCA1 mutations on risk for myocardial infarction. Current Atherosclerosis Reports. 10(5). 413–426. 20 indexed citations
17.
Bailey, Dana, Iulia Iatan, Anouar Hafiane, et al.. (2008). Quantitative Analysis of ABCA1-dependent Compartmentalization and Trafficking of Apolipoprotein A-I. Journal of Biological Chemistry. 283(17). 11164–11175. 45 indexed citations
18.
Krimbou, Larbi, Isabelle L. Ruel, Zari Dastani, et al.. (2008). Disorders of high‐density lipoprotein biogenesis. Annals of Medicine. 40(sup1). 39–47.
19.
20.
Tamura, Taku, Isabelle L. Ruel, Anouar Hafiane, et al.. (2007). Carboxyl-Terminal Disulfide Bond of Acid Sphingomyelinase Is Critical for Its Secretion and Enzymatic Function. Biochemistry. 46(51). 14969–14978. 16 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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