Iulia Iatan

620 citations
33 papers · 431 · h-index 12

Impact in

Papers in

Iulia Iatan

28 papers receiving 429 citations

Peers

Iulia Iatan
Comparison fields: 5 of 55
  • Surgery 257
  • Endocrinology, Diabetes and Metabolism 77
  • Biochemistry 34
  • Cancer Research 52
  • Oncology 88
Replace Bart Lammers with:
Bart Lammers Netherlands
Silvère Baron France
RA Hegele Canada
Takamasa Nishiuchi Japan
Jochen Ittner Germany
Jorge Peter Netherlands
Sumihiko Hagita Japan
Kees Hovingh Netherlands
Chiara Imarisio Italy
Sonika Saddar United States
Iulia Iatan relative to Bart Lammers Netherlands Bart Lammers's profile →
Citations per field
00.5×3.3×
Bart Lammers · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Iulia Iatan, 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 Iulia Iatan Line = papers co-authored together Iulia Iatan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200782
2 200845
3 201438
4 202332
5 200927
6 200927
7 201127
8 200820
9 202418
10 200716
11 201215
12 201213
13 202411
14 20239
15 20239
16 20239
17 20236
18 20235
19 20225
20 20243

About Iulia Iatan

Iulia Iatan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 33 papers that have together received 431 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Cholesterol and Lipid Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (4 papers), Lipid metabolism and biosynthesis (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Surgery (257 citations), Endocrinology, Diabetes and Metabolism (77 citations), Biochemistry (34 citations), Cancer Research (52 citations) and Oncology (88 citations). Iulia Iatan has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Jacques Genest, Isabelle L. Ruel, Larbi Krimbou, Anouar Hafiane, Dana Bailey, Maxime Denis, G.B. John Mancini, Eunice Yeoh, Liam R. Brunham and Daphna Weissglas‐Volkov. Their work appears in journals such as Journal of Lipid Research, Current Atherosclerosis Reports, Circulation Cardiovascular Genetics, European Journal of Preventive Cardiology and Journal of clinical lipidology.

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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