Miwon Ahn

524 citations
23 papers · 383 · h-index 12

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 7
    • Glycosylation and Glycoproteins Research 2
    • Pancreatic function and diabetes 14
    • Cholesterol and Lipid Metabolism 2

Miwon Ahn

21 papers receiving 378 citations

Peers

Miwon Ahn
Comparison fields: 5 of 70
  • Cancer Research 62
  • Endocrinology, Diabetes and Metabolism 57
  • Cell Biology 53
  • Physiology 14
  • Molecular Biology 209
Replace Mei Huang with:
Mei Huang China
Zhimei Lv China
Shu-wen Qian China
Sandra Slusher United States
Iuliia Azarova Russia
Michael Orthofer Austria
Yeo Kyoung Oh South Korea
Liangjie Jia China
Xianglan Quan South Korea
Miwon Ahn relative to Mei Huang China Mei Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miwon Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Miwon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014121
2 201635
3 202430
4 202026
5 201920
6 201818
7 201816
8 202215
9 201815
10 201814
11 200412
12 201612
13 20219
14 20217
15 19977
16 20126
17 20215
18 20075
19 20225
20 20244

About Miwon Ahn

Miwon Ahn is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 23 papers that have together received 383 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (2 papers), Virus-based gene therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Adipose Tissue and Metabolism (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Cancer Research (62 citations), Endocrinology, Diabetes and Metabolism (57 citations), Cell Biology (53 citations), Physiology (14 citations) and Molecular Biology (209 citations). Miwon Ahn has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Debbie C. Thurmond, Eunjin Oh, Rajakrishnan Veluthakal, Núria Morral, Sneha Surendran, Victoria Jideonwo, Yongyong Hou, Ragadeepthi Tunduguru, Peter J. Roach and Vincent S. Tagliabracci. Their work appears in journals such as Diabetes, Diabetologia, Frontiers in Endocrinology, International Journal of Molecular Sciences and Metabolism.

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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