Iulia Iatan

665 citations
40 papers · 495 · h-index 13

Impact in

Papers in

Iulia Iatan

32 papers receiving 492 citations

Peers

Iulia Iatan
Comparison fields: 5 of 56
  • Surgery 289
  • Endocrinology, Diabetes and Metabolism 81
  • Biochemistry 36
  • Cancer Research 60
  • Oncology 90
Replace Bart Lammers with:
Bart Lammers Netherlands
Roberta Galavotti Italy
Silvère Baron France
Sophie Eichenbaum‐Voline France
Miroslava Ogorelkova Austria
Liana Tascau United States
Takamasa Nishiuchi Japan
Saulo J.A. Felizola Japan
Jee Hae Kim United States
Kaida Ji China
Iulia Iatan relative to Bart Lammers Netherlands Bart Lammers's profile →
Citations per field
00.5×2×4×6.8×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200786
2 200846
3 201440
4 202340
5 200932
6 200927
7 201127
8 202424
9 200820
10 200716
11 201216
12 201214
13 202414
14 202312
15 202311
16 20238
17 20238
18 20237
19 20247
20 20226

About Iulia Iatan

Iulia Iatan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 495 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Cholesterol and Lipid Metabolism (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (4 papers), Lipid metabolism and disorders (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Surgery (289 citations), Endocrinology, Diabetes and Metabolism (81 citations), Biochemistry (36 citations), Cancer Research (60 citations) and Oncology (90 citations). Iulia Iatan has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jacques J. Genest, Isabelle L. Ruel, Larbi Krimbou, Anouar Hafiane, G.B. John Mancini, Dana Bailey, Maxime Denis, Eunice Yeoh, Liam R. Brunham and Karin H. Humphries. Their work appears in journals such as Current Atherosclerosis Reports, Atherosclerosis, Circulation Cardiovascular Genetics, Journal of Lipid Research and European Heart Journal.

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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