Jayeon Song

640 citations
26 papers · 467 · h-index 13

Impact in

    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • Biosensors and Analytical Detection

Papers in

    • Advanced biosensing and bioanalysis techniques 21
    • RNA Interference and Gene Delivery 7
    • CRISPR and Genetic Engineering 7
    • DNA and Nucleic Acid Chemistry 2
    • Biosensors and Analytical Detection 9
    • Innovative Microfluidic and Catalytic Techniques Innovation 3

Jayeon Song

24 papers receiving 462 citations

Peers

Jayeon Song
Comparison fields: 5 of 63
  • Molecular Biology 361
  • Biomedical Engineering 209
  • Cancer Research 46
  • Business and International Management 7
  • Bioengineering 18
Replace Julia Baaske with:
Julia Baaske Germany
Hyowon Jang South Korea
Dongjuan Chen China
Kai-Ren Zhao China
Yuxuan Zhang China
Wei Ni China
Xiao Tan China
Christopher Pöhlmann Germany
Yao Yin China
Alejandro Chamorro-García Italy
Jayeon Song relative to Julia Baaske Germany Julia Baaske's profile →
Citations per field
00.5×2×3×4×
Julia Baaske · 1×
Citations per year

Countries citing papers authored by Jayeon Song

Since Specialization
Citations

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

Fields of papers citing papers by Jayeon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202280
2 202453
3 202150
4 202333
5 202230
6 202128
7 202123
8 202123
9 202221
10 202016
11 202316
12 202414
13 202213
14 202412
15 202110
16 202110
17 20189
18 20237
19 20216
20 20215

About Jayeon Song

Jayeon Song is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Infectious Diseases and Electrical and Electronic Engineering, having authored 26 papers that have together received 467 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (21 papers), Biosensors and Analytical Detection (9 papers), RNA Interference and Gene Delivery (7 papers), CRISPR and Genetic Engineering (7 papers), MicroRNA in disease regulation (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), SARS-CoV-2 detection and testing (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Molecular Biology (361 citations), Biomedical Engineering (209 citations), Cancer Research (46 citations), Business and International Management (7 citations) and Bioengineering (18 citations). Jayeon Song has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyun Gyu Park, Hyo Yong Kim, Taejoon Kang, Hyowon Jang, Hansol Kim, Sun‐Joo Kim, Soohyun Kim, Eun‐Kyung Lim, Juyeon Jung and Seoyoung Lee. Their work appears in journals such as Biosensors and Bioelectronics, Chemical Communications, Nanoscale, Nano Convergence and RSC Advances.

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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