Hyunju Lee

5.0k total citations
214 papers, 3.4k citations indexed

About

Hyunju Lee is a scholar working on Molecular Biology, Immunology and Sociology and Political Science. According to data from OpenAlex, Hyunju Lee has authored 214 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 28 papers in Immunology and 24 papers in Sociology and Political Science. Recurrent topics in Hyunju Lee's work include Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (21 papers) and Immunotherapy and Immune Responses (20 papers). Hyunju Lee is often cited by papers focused on Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (21 papers) and Immunotherapy and Immune Responses (20 papers). Hyunju Lee collaborates with scholars based in South Korea, United States and France. Hyunju Lee's co-authors include Taesic Lee, Hyejin Cho, Fengzhu Sun, Ho G. Jang, Minghua Deng, Je‐Jung Lee, Sehwan Moon, Jung‐Jae Kim, Jeong-Kyun Kim and Hyeoung‐Joon Kim and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hyunju Lee

191 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyunju Lee South Korea 31 1.5k 550 487 355 302 214 3.4k
Xiaowei Yan United States 31 1.3k 0.9× 822 1.5× 563 1.2× 182 0.5× 386 1.3× 119 3.5k
Mickaël Guedj France 23 2.2k 1.4× 420 0.8× 342 0.7× 264 0.7× 413 1.4× 54 4.0k
Kenneth Jung United States 19 879 0.6× 384 0.7× 372 0.8× 409 1.2× 236 0.8× 27 2.5k
Ivan G. Costa Germany 39 3.0k 1.9× 554 1.0× 328 0.7× 634 1.8× 672 2.2× 124 4.9k
Ying Ding United States 38 1.7k 1.1× 324 0.6× 254 0.5× 274 0.8× 419 1.4× 202 4.4k
Elizabeth Chen United States 33 1.8k 1.2× 494 0.9× 332 0.7× 271 0.8× 344 1.1× 161 4.0k
James C. Costello United States 29 2.9k 1.9× 415 0.8× 669 1.4× 201 0.6× 528 1.7× 82 4.6k
Chun‐Houh Chen Taiwan 35 1.6k 1.0× 347 0.6× 478 1.0× 277 0.8× 592 2.0× 103 4.2k
Ming Tan United States 37 1.3k 0.8× 365 0.7× 1.1k 2.2× 293 0.8× 296 1.0× 175 5.4k
Raymond J. Cho United States 20 4.5k 2.9× 518 0.9× 308 0.6× 490 1.4× 373 1.2× 61 6.2k

Countries citing papers authored by Hyunju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyunju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunju Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunju Lee. A scholar is included among the top collaborators of Hyunju 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 Hyunju Lee. Hyunju 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.
Park, Sung‐Hye, et al.. (2024). PANCDR: precise medicine prediction using an adversarial network for cancer drug response. Briefings in Bioinformatics. 25(2). 7 indexed citations
2.
Lee, Hyunju, et al.. (2023). Exploiting All Samples in Low-Resource Sentence Classification: Early Stopping and Initialization Parameters. IEEE Access. 11. 30768–30782. 3 indexed citations
3.
Moon, Sehwan, et al.. (2022). SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration. Journal of Computational Biology. 29(8). 892–907. 14 indexed citations
4.
Jang, Ji-Hun, et al.. (2021). Characteristics and phylogenetic analysis of the complete chloroplast genome of Paeonia japonica (Paeoniaceae). SHILAP Revista de lepidopterología. 6(3). 734–735. 2 indexed citations
6.
Lee, Hyunju, Hanwoong Woo, Ha-Eun Lee, et al.. (2020). The novel DYRK1A inhibitor KVN93 regulates cognitive function, amyloid-beta pathology, and neuroinflammation. Free Radical Biology and Medicine. 160. 575–595. 28 indexed citations
8.
Cho, Haaglim, Seon Wook Kim, Jun-Hyeong Kim, et al.. (2018). Cancer-Stimulated CAFs Enhance Monocyte Differentiation and Protumoral TAM Activation via IL6 and GM-CSF Secretion. Clinical Cancer Research. 24(21). 5407–5421. 155 indexed citations
9.
Vo, Manh-Cuong, Sung‐Hoon Jung, Hyunju Lee, et al.. (2018). Lenalidomide and Programmed Death-1 Blockade Synergistically Enhances the Effects of Dendritic Cell Vaccination in a Model of Murine Myeloma. Frontiers in Immunology. 9. 1370–1370. 34 indexed citations
10.
Lee, Seung‐Chul, Seung‐Chul Lee, Jin‐Gu Lee, et al.. (2017). Comprehensive somatic genome alterations of urachal carcinoma. Journal of Medical Genetics. 54(8). 572–578. 22 indexed citations
11.
Lee, Hyunju, et al.. (2017). FGMD: A novel approach for functional gene module detection in cancer. PLoS ONE. 12(12). e0188900–e0188900. 6 indexed citations
12.
Park, Sangbin, In‐Kyu Park, Chang‐Seob Seo, et al.. (2016). Evaluation of Anti‐Inflammatory Potential of the New Ganghwaljetongyeum on Adjuvant‐Induced Inflammatory Arthritis in Rats. Evidence-based Complementary and Alternative Medicine. 2016(1). 1230294–1230294. 34 indexed citations
13.
Kim, Min‐Cheol, et al.. (2013). Construction of Mono- and Multilayer Colloidal Crystals with Self-Assembled Nanospheres. Journal of Nanoscience and Nanotechnology. 13(9). 6300–6306. 3 indexed citations
14.
Lee, Hyunju, et al.. (2012). A Study of effect on trust, acceptance and spread of word-of-mouth and purchase intention by characteristics of electronic word-of-mouth on travel industry. 14(1). 83–100. 5 indexed citations
15.
Lee, Hyunju, et al.. (2011). Psychological model of stigma on nuclear power plants and radioactive waste repositories: Focusing on trust, affect, and knowledge. 30(3). 831–851.
16.
Kim, Hyunjung & Hyunju Lee. (2010). Peer Feedback for Novice Designers in Design Education. Archives of Design Research. 23(3). 273–284. 1 indexed citations
17.
Lee, Hyunju, et al.. (2009). The Effects of the Service Orientation on Job Satisfaction and Customer Orientation of the Urban Railway-operating Company. Journal of the Korean society for railway. 12(5). 761–771. 1 indexed citations
18.
Lee, Hyunju, et al.. (2008). The Effects of Gypsum on Streptozotocin-induced Diabetic Nephropathic Rats. The Journal of Internal Korean Medicine. 29(4). 1025–1036. 1 indexed citations
19.
Lee, Hyunju, et al.. (2007). Correlation Between Balance, Walking Test and Functional Performance in Stroke Patients: BBS, TUG, Fugl-Meyer, MAS-G, C·MGS, and MBI. Physical Therapy Korea. 14(3). 64–71. 4 indexed citations
20.
Lee, Hyunju, et al.. (2004). An Empirical Study on the Integrated Performance Model for the Effect of Information Technology Investment.. Journal of the Association for Information Systems. 31. 8 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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