Jiyeon Choi

3.5k citations
49 papers · 862 indexed · h-index 18
    • Natural product bioactivities and synthesis 4
    • Molecular Biology Techniques and Applications 4
  • Genetics top 10%
    • Genetic Associations and Epidemiology 7
    • Genetic Mapping and Diversity in Plants and Animals 4
  • Toxicology top 10%
    • Cytokine Signaling Pathways and Interactions 6
    • melanin and skin pigmentation 6
    • Reservoir Engineering and Simulation Methods 4
    • Enhanced Oil Recovery Techniques 4

Jiyeon Choi

47 papers receiving 852 citations

Peers

Jiyeon Choi
Comparison fields: 5 of 103
  • Cancer Research 134
  • Molecular Biology 504
  • Genetics 179
  • Toxicology 21
  • Oncology 146
Replace Mahmoud Shekari Khaniani with:
Mahmoud Shekari Khaniani Iran
Dan Zou China
Li-Ching Chen Taiwan
Dongwan Hong South Korea
Meng Jin China
Yun Sil Lee South Korea
Guo Zhang China
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Jaeho Jeong South Korea
Jiyeon Choi relative to Mahmoud Shekari Khaniani Iran Mahmoud Shekari Khaniani's profile →
Citations per field
00.5×1.5×
Mahmoud Shekari Khaniani · 1×
Citations per year

Countries citing papers authored by Jiyeon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jiyeon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20229
5 20228
6 20224
7 202111
8 20218
9 202112
10 201941
11 201850
12 201728
13 201621
14
Operation Constraints of Steam Assisted Gravity Drainage Considering Steam Interference to Accomplish Optimum Bitumen Recovery
20152
15 201541
16 201434
17 201314
18 20129
19 201120
20 200739

About Jiyeon Choi

Jiyeon Choi is a scholar working on Toxicology, Cell Biology and Molecular Biology, having authored 49 papers that have together received 862 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), melanin and skin pigmentation (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Reservoir Engineering and Simulation Methods (4 papers), Natural product bioactivities and synthesis (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Enhanced Oil Recovery Techniques (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (504 citations) and Genetics (179 citations). Jiyeon Choi has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Kevin M. Brown, Dong Cho Han, Byoung‐Mog Kwon, James H. Millonig, Tongwu Zhang, Paul G. Matteson, Hyeyoung Kim, Joo Weon Lim, Yae Jin Yoon and Linda M. Brzustowicz. Their work appears in journals such as Nature Communications, Nature Genetics and PLoS ONE.

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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