Kong‐Joo Lee

6.1k total citations · 1 hit paper
149 papers, 4.9k citations indexed

About

Kong‐Joo Lee is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kong‐Joo Lee has authored 149 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 28 papers in Artificial Intelligence and 18 papers in Information Systems. Recurrent topics in Kong‐Joo Lee's work include Heat shock proteins research (18 papers), Mechanisms of cancer metastasis (15 papers) and Topic Modeling (14 papers). Kong‐Joo Lee is often cited by papers focused on Heat shock proteins research (18 papers), Mechanisms of cancer metastasis (15 papers) and Topic Modeling (14 papers). Kong‐Joo Lee collaborates with scholars based in South Korea, United States and Australia. Kong‐Joo Lee's co-authors include Eun Joo Song, Jaeho Jeong, James E. Ferrell, Wray H. Huestis, Youngmee Kim, Gwi Suk Heo, Moon-Kyoung Bae, Mi‐Ae Yoo, Se Hee Kim and Kyu-Won Kim and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kong‐Joo Lee

136 papers receiving 4.8k citations

Hit Papers

Regulation and Destabilization of HIF-1α by ARD1-Mediated... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kong‐Joo Lee South Korea 38 3.3k 576 563 563 513 149 4.9k
Douglas S. Auld United States 42 4.8k 1.5× 1.0k 1.8× 663 1.2× 475 0.8× 547 1.1× 120 7.1k
Amy‐Joan L. Ham United States 38 3.2k 1.0× 722 1.3× 616 1.1× 481 0.9× 380 0.7× 69 5.1k
Jacques Haiech France 41 3.9k 1.2× 263 0.5× 559 1.0× 728 1.3× 396 0.8× 178 5.9k
Tao Xu United States 45 4.8k 1.5× 456 0.8× 549 1.0× 584 1.0× 380 0.7× 112 6.9k
Young‐Ki Paik South Korea 40 3.1k 0.9× 418 0.7× 475 0.8× 291 0.5× 312 0.6× 159 5.2k
Jing Huang United States 40 4.8k 1.5× 486 0.8× 677 1.2× 830 1.5× 376 0.7× 124 6.8k
Leonard M. Hjelmeland United States 36 3.4k 1.0× 337 0.6× 313 0.6× 505 0.9× 339 0.7× 97 5.5k
Lilia Alberghina Italy 49 6.7k 2.0× 1.1k 1.8× 630 1.1× 947 1.7× 525 1.0× 286 8.6k
Jun Qu United States 41 3.3k 1.0× 348 0.6× 497 0.9× 313 0.6× 176 0.3× 160 5.0k
Xu Wang China 35 2.5k 0.8× 890 1.5× 513 0.9× 202 0.4× 388 0.8× 215 5.5k

Countries citing papers authored by Kong‐Joo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kong‐Joo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kong‐Joo Lee. 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 Kong‐Joo Lee. The network helps show where Kong‐Joo Lee may publish in the future.

Co-authorship network of co-authors of Kong‐Joo Lee

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

All Works

20 of 20 papers shown
1.
Choi, Yong‐Seok & Kong‐Joo Lee. (2021). Korean Dependency Parsing Using Stack-Pointer Networksand Subtree Information. KIPS Transactions on Software and Data Engineering. 10(6). 235–242.
2.
Lee, Kong‐Joo, et al.. (2020). Building a Korean Text Summarization Dataset Using News Articles of Social Media. KIPS Transactions on Software and Data Engineering. 9(8). 251–258.
3.
Choi, Yong‐Seok, et al.. (2019). Evaluation of Sentimental Texts Automatically Generated by a Generative Adversarial Network. KIPS Transactions on Software and Data Engineering. 8(6). 257–264. 2 indexed citations
4.
Lee, Kong‐Joo, et al.. (2019). Analysis of a Causal Relationship between Collective Emotion and Behavior to Sport Issues in SNS. Journal of Convergence Information Technology. 9(2). 165–171.
5.
Lee, Kong‐Joo, et al.. (2019). Analysis of Emotions of Anti-Korea and Anti-Japan in International Soccer Games of Korea vs. Japan. Journal of Digital Convergence. 17(2). 463–473. 1 indexed citations
6.
Choi, Jung-Eun, Jae Jin Lee, Wonmo Kang, et al.. (2018). Proteomic Analysis of Hippocampus in a Mouse Model of Depression Reveals Neuroprotective Function of Ubiquitin C-terminal Hydrolase L1 (UCH-L1) via Stress-induced Cysteine Oxidative Modifications. Molecular & Cellular Proteomics. 17(9). 1803–1823. 22 indexed citations
7.
Lee, Kong‐Joo, et al.. (2017). Automatic Text Summarization Using Reinforcement Learning with Embedding Features. International Joint Conference on Natural Language Processing. 2. 193–197. 11 indexed citations
8.
Lee, Kong‐Joo, Jae Hee Woo, Yiming Xiao, et al.. (2016). Electronic energy and electron transfer processes in photoexcited donor–acceptor dyad and triad molecular systems based on triphenylene and perylene diimide units. Physical Chemistry Chemical Physics. 18(11). 7875–7887. 35 indexed citations
9.
10.
Kim, Mi Sun, et al.. (2013). Structure of Nm23-H1 under oxidative conditions. Acta Crystallographica Section D Biological Crystallography. 69(4). 669–680. 24 indexed citations
11.
Huh, Joo Young, Jaeho Jeong, Jehyun Park, et al.. (2011). Peroxiredoxin 3 Is a Key Molecule Regulating Adipocyte Oxidative Stress, Mitochondrial Biogenesis, and Adipokine Expression. Antioxidants and Redox Signaling. 16(3). 229–243. 137 indexed citations
12.
Lee, Kong‐Joo, et al.. (2010). A Human-Computer Collaboration Approach to Improve Accuracy of an Automated English Scoring System. 80–83. 1 indexed citations
13.
Kim, Youngmee, Kyung Eun Kim, Gou Young Koh, Ye-Shih Ho, & Kong‐Joo Lee. (2006). Hydrogen Peroxide Produced by Angiopoietin-1 Mediates Angiogenesis. Cancer Research. 66(12). 6167–6174. 88 indexed citations
14.
Lee, Kong‐Joo, et al.. (2006). Automatic Affect Recognition Using Natural Language Processing Techniques and Manually Built Affect Lexicon(Natural Language Processing). IEICE Transactions on Information and Systems. 89(12). 2964–2971. 1 indexed citations
15.
Ju, Bong-Gun, Derek Solum, Eun Joo Song, et al.. (2004). Activating the PARP-1 Sensor Component of the Groucho/ TLE1 Corepressor Complex Mediates a CaMKinase IIδ-Dependent Neurogenic Gene Activation Pathway. Cell. 119(6). 815–829. 242 indexed citations
16.
Lee, Kong‐Joo, et al.. (1998). Analysis of double-stranded DNA fragments by capillary electrophoresis using entangle polymer solutions in uncoated fused silica capillary columns. BMB Reports. 31(4). 384–390. 2 indexed citations
17.
Lee, Kong‐Joo, et al.. (1997). Design and Implementation of Tree Tagging Workbench To Build a Large Tree Tagged Corpus of Korean. 421–429. 1 indexed citations
18.
Kim, Eunhee, et al.. (1995). Detection of Fragment Length Polymorphism of the VNTR Loci D1S80 and D2S123 by PCR Amplification, PAGE and Silver Staining. BMB Reports. 28(4). 359–362.
19.
Anderson, Robin L., et al.. (1993). An immunoassay for heat shock protein 73/72: Use of the assay to correlate HSW3/72 levels in mammalian cells with heat response. International Journal of Hyperthermia. 9(4). 539–552. 20 indexed citations
20.
Lee, Kong‐Joo, et al.. (1992). Separation of theophylline and its analogues by micellar electrokinetic chromatography: application to the determination of theophylline in human plasma. Journal of Chromatography B Biomedical Sciences and Applications. 577(1). 135–141. 22 indexed citations

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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