Hyeon-Nae Jeon

2.3k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Hyeon-Nae Jeon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hyeon-Nae Jeon has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hyeon-Nae Jeon's work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (2 papers) and Analytical Chemistry and Chromatography (2 papers). Hyeon-Nae Jeon is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (2 papers) and Analytical Chemistry and Chromatography (2 papers). Hyeon-Nae Jeon collaborates with scholars based in South Korea, China and Hong Kong. Hyeon-Nae Jeon's co-authors include Muyoung Lee, Sung‐Ho Lee, Byunghee Kang, Chan Yeong Kim, Insuk Lee, Dabin Jeong, Michael Chung, Yaeji Kim, Jong‐Hoon Kim and Eunbeen Kim and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Briefings in Bioinformatics.

In The Last Decade

Hyeon-Nae Jeon

9 papers receiving 1.4k 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
Hyeon-Nae Jeon South Korea 6 921 265 211 165 141 9 1.4k
Adam Coffman United States 7 937 1.0× 320 1.2× 205 1.0× 283 1.7× 232 1.6× 11 1.6k
Jia Xu China 23 971 1.1× 251 0.9× 91 0.4× 247 1.5× 84 0.6× 71 1.5k
Xin Shao China 17 1.1k 1.2× 295 1.1× 223 1.1× 78 0.5× 100 0.7× 44 1.5k
Max Kotlyar Canada 20 1.1k 1.2× 127 0.5× 137 0.6× 87 0.5× 221 1.6× 49 1.6k
Gürkan Bebek United States 22 1.1k 1.2× 256 1.0× 92 0.4× 180 1.1× 98 0.7× 52 1.7k
Federica Conte Italy 21 908 1.0× 425 1.6× 101 0.5× 107 0.6× 216 1.5× 48 1.3k
Monica Nicolau United States 15 862 0.9× 250 0.9× 142 0.7× 97 0.6× 223 1.6× 24 1.5k
Alexey V. Antonov United Kingdom 25 1.3k 1.4× 378 1.4× 145 0.7× 109 0.7× 136 1.0× 49 1.8k
Simon Cockell United Kingdom 25 896 1.0× 182 0.7× 125 0.6× 65 0.4× 111 0.8× 62 1.5k
Esther A. Zaal Netherlands 16 922 1.0× 402 1.5× 119 0.6× 102 0.6× 51 0.4× 42 1.3k

Countries citing papers authored by Hyeon-Nae Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon-Nae Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon-Nae Jeon. 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 Hyeon-Nae Jeon. The network helps show where Hyeon-Nae Jeon may publish in the future.

Co-authorship network of co-authors of Hyeon-Nae Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon-Nae Jeon. A scholar is included among the top collaborators of Hyeon-Nae Jeon 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 Hyeon-Nae Jeon. Hyeon-Nae Jeon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lim, Hocheol, et al.. (2024). Fragment molecular orbital-based variational quantum eigensolver for quantum chemistry in the age of quantum computing. Scientific Reports. 14(1). 2422–2422. 13 indexed citations
2.
3.
Wang, Jianmin, Yanyi Chu, Jiashun Mao, et al.. (2022). De novo molecular design with deep molecular generative models for PPI inhibitors. Briefings in Bioinformatics. 23(4). 42 indexed citations
4.
5.
Lim, Hocheol, et al.. (2022). Evaluation of protein descriptors in computer-aided rational protein engineering tasks and its application in property prediction in SARS-CoV-2 spike glycoprotein. Computational and Structural Biotechnology Journal. 20. 788–798. 11 indexed citations
6.
Mao, Jiashun, Xiao Zhang, Liang Sun, et al.. (2021). Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models. iScience. 24(9). 103052–103052. 87 indexed citations
7.
8.
Jeon, Hyeon-Nae, et al.. (2020). PreMetabo: An in silico phase I and II drug metabolism prediction platform. Drug Metabolism and Pharmacokinetics. 35(4). 361–367. 11 indexed citations
9.
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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Breakdown of academic impact, for papers by Adam Coffman Breakdown of academic impact, for papers by Jia Xu Breakdown of academic impact, for papers by Xin Shao Breakdown of academic impact, for papers by Max Kotlyar Breakdown of academic impact, for papers by Gürkan Bebek Breakdown of academic impact, for papers by Federica Conte Breakdown of academic impact, for papers by Monica Nicolau Breakdown of academic impact, for papers by Alexey V. Antonov Breakdown of academic impact, for papers by Simon Cockell Breakdown of academic impact, for papers by Esther A. Zaal
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2026