Dabin Jeong

2.2k total citations · 1 hit paper
11 papers, 1.3k citations indexed

About

Dabin Jeong is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Dabin Jeong has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Dabin Jeong's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). Dabin Jeong is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and RNA modifications and cancer (2 papers). Dabin Jeong collaborates with scholars based in South Korea, United States and Puerto Rico. Dabin Jeong's co-authors include Sunmo Yang, Hyeon-Nae Jeon, Sangyoung Lee, Chan Yeong Kim, Heonjong Han, Hyojin Kim, Sung‐Ho Lee, Insuk Lee, Eunbeen Kim and Muyoung Lee and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Dabin Jeong

10 papers receiving 1.3k citations

Hit Papers

TRRUST v2: an expanded reference database of human and mo... 2017 2026 2020 2023 2017 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions
    2017 1.2k citations Heonjong Han, Sangyoung Lee et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dabin Jeong South Korea 6 876 277 207 172 134 11 1.3k
Eunbeen Kim South Korea 3 836 1.0× 262 0.9× 207 1.0× 165 1.0× 129 1.0× 6 1.3k
Muyoung Lee South Korea 6 923 1.1× 265 1.0× 210 1.0× 168 1.0× 132 1.0× 10 1.4k
Heonjong Han South Korea 8 929 1.1× 279 1.0× 238 1.1× 184 1.1× 171 1.3× 11 1.4k
Sangyoung Lee South Korea 3 836 1.0× 262 0.9× 207 1.0× 165 1.0× 129 1.0× 4 1.3k
Aurélien Dugourd Germany 15 930 1.1× 201 0.7× 229 1.1× 94 0.5× 154 1.1× 26 1.4k
Byunghee Kang South Korea 9 964 1.1× 310 1.1× 254 1.2× 184 1.1× 237 1.8× 19 1.6k
Denis Torre United States 12 1.1k 1.2× 270 1.0× 210 1.0× 134 0.8× 167 1.2× 17 1.6k
Nicholas C. Spies United States 9 618 0.7× 222 0.8× 118 0.6× 191 1.1× 152 1.1× 30 1.1k
Kelsy C. Cotto United States 7 860 1.0× 292 1.1× 179 0.9× 248 1.4× 159 1.2× 16 1.4k
Guilherme Viteri United Kingdom 6 646 0.7× 161 0.6× 193 0.9× 111 0.6× 119 0.9× 7 1.1k

Countries citing papers authored by Dabin Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Dabin Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabin Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Dabin Jeong. A scholar is included among the top collaborators of Dabin Jeong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dabin Jeong. Dabin Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Koh, Jiwon, Dabin Jeong, Soo Young Park, et al.. (2024). Identification of VWA5A as a novel biomarker for inhibiting metastasis in breast cancer by machine-learning based protein prioritization. Scientific Reports. 14(1). 2459–2459.
2.
Yoon, Jung-Ki, Kyoung‐Hee Lee, Dabin Jeong, et al.. (2023). Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure. Journal of Korean Medical Science. 38(29). e220–e220. 5 indexed citations
3.
Lee, Dohoon, et al.. (2023). Characterization of radiation-resistance mechanism in Spirosoma montaniterrae DY10T in terms of transcriptional regulatory system. Scientific Reports. 13(1). 4739–4739. 1 indexed citations
4.
5.
Jeong, Dabin, et al.. (2022). A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective. International Journal of Molecular Sciences. 23(19). 11498–11498. 5 indexed citations
6.
Jeong, Dabin, et al.. (2021). Construction of Condition-Specific Gene Regulatory Network Using Kernel Canonical Correlation Analysis. Frontiers in Genetics. 12. 652623–652623. 1 indexed citations
7.
Lee, Ji-Hye, et al.. (2021). Developing Museum Education Content: AR Blended Learning. International Journal of Art & Design Education. 40(3). 473–491. 27 indexed citations
8.
Lee, Sangseon, Sangsoo Lim, Dabin Jeong, et al.. (2020). DRIM: A Web-Based System for Investigating Drug Response at the Molecular Level by Condition-Specific Multi-Omics Data Integration. Frontiers in Genetics. 11. 564792–564792. 13 indexed citations
9.
10.
Ahn, Hongryul, et al.. (2019). PropaNet: Time-Varying Condition-Specific Transcriptional Network Construction by Network Propagation. Frontiers in Plant Science. 10. 698–698. 4 indexed citations
11.
Han, Heonjong, Sangyoung Lee, Hyojin Kim, et al.. (2017). TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions. Nucleic Acids Research. 46(D1). D380–D386. 1238 indexed citations breakdown →

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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