Jun Ki Ahn

554 citations
32 papers · 458 · h-index 11

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 24
    • RNA Interference and Gene Delivery 6
    • Advanced Biosensing Techniques and Applications 5
    • CRISPR and Genetic Engineering 3
    • Biosensors and Analytical Detection 11

Jun Ki Ahn

31 papers receiving 454 citations

Peers

Jun Ki Ahn
Comparison fields: 5 of 65
  • Molecular Biology 322
  • Bioengineering 26
  • Biomedical Engineering 201
  • Infectious Diseases 77
  • Electrochemistry 25
Replace Ji Hoon Lee with:
Ji Hoon Lee United States
Enric Calucho Spain
Tianxiao Yu China
Il-Hoon Cho United States
Yoo Min Park South Korea
Pattarachaya Preechakasedkit Thailand
Isaac A.M. Frías Brazil
Shih‐Chung Wei Taiwan
Payel Sen Canada
Myung Yi Ryu South Korea
Jun Ki Ahn relative to Ji Hoon Lee United States Ji Hoon Lee's profile →
Citations per field
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Ji Hoon Lee · 1×
Citations per year

Countries citing papers authored by Jun Ki Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ki Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016126
2 201840
3 202137
4 201833
5 201623
6 202020
7 201418
8 201918
9 201916
10 201815
11 202013
12 202010
13 201710
14 20229
15 20219
16 20229
17 20198
18 20236
19 20206
20 20175

About Jun Ki Ahn

Jun Ki Ahn is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Plant Science and Materials Chemistry, having authored 32 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (24 papers), Biosensors and Analytical Detection (11 papers), RNA Interference and Gene Delivery (6 papers), Advanced Biosensing Techniques and Applications (5 papers), Plant Virus Research Studies (4 papers), Electrochemical sensors and biosensors (3 papers), Plant and Fungal Interactions Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Biology (322 citations), Bioengineering (26 citations), Biomedical Engineering (201 citations), Infectious Diseases (77 citations) and Electrochemistry (25 citations). Jun Ki Ahn has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Hyun Gyu Park, Hyo Yong Kim, Ki Soo Park, Tae Jung Park, Myung Yi Ryu, Chan Young Park, Changsun Choi, Sang‐Do Ha, Jong Pil Park and Hye Jin Hwang. Their work appears in journals such as Biosensors and Bioelectronics, Archives of Virology, RSC Advances, Analytical Chemistry and Analytica Chimica Acta.

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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