Hee Yul Ahn

533 citations
22 papers · 487 · h-index 15

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Ion channel regulation and function 3
    • Nitric Oxide and Endothelin Effects 6

Hee Yul Ahn

22 papers receiving 482 citations

Peers

Hee Yul Ahn
Comparison fields: 5 of 83
  • Biochemistry 65
  • Applied Microbiology and Biotechnology 12
  • Pathology and Forensic Medicine 98
  • Physiology 111
  • Immunology 83
Replace Eun‐Seok Park with:
Eun‐Seok Park South Korea
Claudia Seul Germany
Hee-Yul Ahn South Korea
Jia Dai China
Stefanie Oberle Germany
G. Maulik United States
Zhangping Liao China
E Varga Hungary
Yuanzhu Huang China
Hee Yul Ahn relative to Eun‐Seok Park South Korea Eun‐Seok Park's profile →
Citations per field
00.5×3.3×
Eun‐Seok Park · 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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200462
2 200760
3 200857
4 200442
5 201339
6 201024
7 199421
8 199221
9 201520
10 200319
11 200418
12 201517
13 201116
14 198316
15 201414
16 20159
17 20138
18 19977
19 19857
20 20006

About Hee Yul Ahn

Hee Yul Ahn is a scholar working on Molecular Biology, Physiology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 22 papers that have together received 487 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Tea Polyphenols and Effects (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Ion channel regulation and function (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Coffee research and impacts (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Biochemistry (65 citations), Applied Microbiology and Biotechnology (12 citations), Pathology and Forensic Medicine (98 citations), Physiology (111 citations) and Immunology (83 citations). Hee Yul Ahn has collaborated with scholars based in South Korea, Japan and Germany. Frequent co-authors include Chan Hyung Kim, Tae‐Sun Ha, Yi Xu, Sandra T. Davidge, Agapios Sachinidis, Bokyung Kim, Tae Sun Ha, Hideaki Karaki, Young‐Suk Cho and Sang Jin Lee. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Life Sciences, Hypertension, BMB Reports and Clinical Hypertension.

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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