Hee‐Yul Ahn

680 citations
14 papers · 590 · h-index 10

Impact in

Papers in

Hee‐Yul Ahn

14 papers receiving 576 citations

Peers

Hee‐Yul Ahn
Comparison fields: 5 of 78
  • Applied Microbiology and Biotechnology 44
  • Biochemistry 129
  • Pathology and Forensic Medicine 212
  • Behavioral Neuroscience 28
  • Biological Psychiatry 16
Replace Jean Peluso with:
Jean Peluso France
Reem N. El‐Naga Egypt
Saber Ghazizadeh Darband Iran
Shirin Sadighparvar Iran
Joana Relat Spain
Hung-Yi Chen Taiwan
Ahmed M. Ashour Saudi Arabia
Limor Kalfon Israel
Laura Baselga‐Escudero Spain
María L. Rodríguez Spain
Hee‐Yul Ahn relative to Jean Peluso France Jean Peluso's profile →
Citations per field
00.5×3.2×
Jean Peluso · 1×
Citations per year

Countries citing papers authored by Hee‐Yul Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Yul Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Yul Ahn. 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 Hee‐Yul Ahn. The network helps show where Hee‐Yul Ahn may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999146
2 200371
3 200068
4 200258
5 201756
6 200954
7 200747
8 199746
9 201013
10 201210
11 20127
12 20096
13 20165
14
Inhibition of Angiotensin II-Induced Vascular Smooth Muscle Cell Hypertrophy by Different Catechins
20053

About Hee‐Yul Ahn

Hee‐Yul Ahn is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Pharmacology, having authored 14 papers that have together received 590 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (6 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Traditional Chinese Medicine Analysis (2 papers), Cardiac Arrest and Resuscitation (1 paper) and Coffee research and impacts (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (44 citations), Biochemistry (129 citations), Pathology and Forensic Medicine (212 citations), Behavioral Neuroscience (28 citations) and Biological Psychiatry (16 citations). Hee‐Yul Ahn has collaborated with scholars based in South Korea, Germany and China. Frequent co-authors include Agapios Sachinidis, Claudia Seul, Yeo‐Pyo Yun, Chan‐Hyung Kim, H. Vetter, Yonghe Zhang, Jürgen Hescheler, Yon Ko, Tae‐Sun Ha and Hack-Seang Kim. Their work appears in journals such as The FASEB Journal, Journal of Veterinary Science, Archives of Pharmacal Research, Molecular Biology of the Cell and Neuroscience.

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.

Explore authors with similar magnitude of impact