Hyung Jun Ahn

6.1k citations
61 papers · 1.6k · h-index 26

Impact in

    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

    • RNA Interference and Gene Delivery 25
    • Advanced biosensing and bioanalysis techniques 18
    • Protein Structure and Dynamics 4
    • Enzyme Structure and Function 13

Hyung Jun Ahn

58 papers receiving 1.6k citations

Peers

Hyung Jun Ahn
Comparison fields: 5 of 109
  • Biomaterials 307
  • Molecular Biology 994
  • Cancer Research 155
  • Biotechnology 83
  • Biomedical Engineering 410
Replace Ralph Graeser with:
Ralph Graeser Germany
Preethi Korangath United States
Jinsheng Huang China
Hidenori Ando Japan
Yingjuan Lu United States
Aihua Wu China
Sharif Ahmed Canada
Shiyan Dong China
Neha N. Parayath United States
Vinata B. Lokeshwar United States
Hyung Jun Ahn relative to Ralph Graeser Germany Ralph Graeser's profile →
Citations per field
00.5×2.7×
Ralph Graeser · 1×
Citations per year

Countries citing papers authored by Hyung Jun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Hyung Jun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 201592
3 200991
4 201185
5 201877
6 200877
7 201371
8 200362
9 201662
10 201860
11 201856
12 201246
13 201445
14 199543
15 200439
16 200339
17 202139
18 202037
19 201936
20 202135

About Hyung Jun Ahn

Hyung Jun Ahn is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Cancer Research and Oncology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (25 papers), Advanced biosensing and bioanalysis techniques (18 papers), Enzyme Structure and Function (13 papers), Virus-based gene therapy research (8 papers), MicroRNA in disease regulation (5 papers), Immunotherapy and Immune Responses (4 papers), Amino Acid Enzymes and Metabolism (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Biomaterials (307 citations), Molecular Biology (994 citations), Cancer Research (155 citations), Biotechnology (83 citations) and Biomedical Engineering (410 citations). Hyung Jun Ahn has collaborated with scholars based in South Korea, United States and Morocco. Frequent co-authors include Ick Chan Kwon, Kyung-Mi Choi, Mihue Jang, Hee Dong Han, Jeong‐Won Lee, Jong Hwan Kim, Se Won Suh, Kuiwon Choi, Young‐Jae Cho and Kwangmeyung Kim. Their work appears in journals such as Scientific Reports, Biomaterials, Molecular Pharmaceutics, Journal of Molecular Biology and Journal of Controlled Release.

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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