Chaejoon Cheong

5.2k citations
123 papers · 4.3k indexed · h-index 33

Impact in

    • Antimicrobial Peptides and Activities
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques
    • RNA Research and Splicing

Papers in

Chaejoon Cheong

121 papers receiving 4.2k citations

Peers

Chaejoon Cheong
Comparison fields: 5 of 140
  • Microbiology 267
  • Molecular Biology 2.9k
  • Cell Biology 387
  • Endocrinology 94
  • Molecular Medicine 76
Replace Frank Wien with:
Frank Wien France
Vidyashankara Iyer United States
Shigeki Mitaku Japan
József Kardos Hungary
Ralf Ficner Germany
Suren A. Tatulian United States
Jean‐Marie Ruysschaert Belgium
Scott A. Lesley United States
Oliver S. Smart United Kingdom
Fei Sun China
Chaejoon Cheong relative to Frank Wien France Frank Wien's profile →
Citations per field
00.5×1.5×
Frank Wien · 1×
Citations per year

Countries citing papers authored by Chaejoon Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Chaejoon Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20236
4 20231
5 202015
6 20198
7 201424
8 20122
9 20121
10 201045
11 20102
12 200928
13 20086
14 200447
15 20021
16
Implementation of the refined Deutsch-Jozsa algorithm on a three-bit NMR quantum computer
20004
17 20002
18 199728
19 1991275
20 1991323

About Chaejoon Cheong

Chaejoon Cheong is a scholar working on Microbiology, Biophysics, Molecular Biology, Cell Biology and Molecular Medicine, having authored 123 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), Antimicrobial Peptides and Activities (10 papers), RNA modifications and cancer (10 papers), DNA and Nucleic Acid Chemistry (9 papers), Ubiquitin and proteasome pathways (9 papers), Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (8 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Microbiology (267 citations), Molecular Biology (2.9k citations), Cell Biology (387 citations), Endocrinology (94 citations) and Molecular Medicine (76 citations). Chaejoon Cheong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ignacio Tinoco, Gabriele Varani, Peter B. Moore, Ignacio Tinoco, Stephen R. Holbrook, Sung‐Hou Kim, Young Ho Jeon, Kyoung‐Seok Ryu, Hae‐Kap Cheong and I Tinoco. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, FEBS Letters, PLoS ONE and Magnetic Resonance Imaging.

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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