Jae K. Lee

7.4k total citations · 3 hit papers
68 papers, 5.2k citations indexed

About

Jae K. Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jae K. Lee has authored 68 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Jae K. Lee's work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (10 papers) and Molecular Biology Techniques and Applications (7 papers). Jae K. Lee is often cited by papers focused on Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (10 papers) and Molecular Biology Techniques and Applications (7 papers). Jae K. Lee collaborates with scholars based in United States, South Korea and United Kingdom. Jae K. Lee's co-authors include Efraim Turban, David A. King, H. Michael Chung, John N. Weinstein, William C. Reinhold, Uwe Scherf, Dan Theodorescu, Mark Waltham, Dominic A. Scudiero and Darren T. Andrews and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jae K. Lee

67 papers receiving 4.8k citations

Hit Papers

A gene expression database for the molecular pharmacology... 1999 2026 2008 2017 2000 1999 2001 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae K. Lee United States 27 2.7k 740 664 490 404 68 5.2k
Li Wang China 33 2.0k 0.8× 491 0.7× 487 0.7× 139 0.3× 149 0.4× 360 6.4k
Yung Hou Wong Hong Kong 50 4.6k 1.7× 792 1.1× 310 0.5× 300 0.6× 134 0.3× 271 9.5k
David Horne United States 39 2.6k 1.0× 789 1.1× 569 0.9× 376 0.8× 61 0.2× 172 6.5k
Zan Huang China 50 2.6k 0.9× 505 0.7× 609 0.9× 72 0.1× 138 0.3× 197 8.5k
Howard Lightfoot United Kingdom 23 2.3k 0.9× 1000 1.4× 1.2k 1.8× 66 0.1× 573 1.4× 35 6.4k
George Wright United States 19 2.8k 1.0× 545 0.7× 831 1.3× 35 0.1× 156 0.4× 46 5.7k
Gillian Rice United Kingdom 40 2.8k 1.0× 509 0.7× 194 0.3× 83 0.2× 47 0.1× 125 7.1k
Chen Ye China 33 1.3k 0.5× 153 0.2× 607 0.9× 429 0.9× 38 0.1× 259 4.4k
Lin Liu China 42 2.3k 0.9× 162 0.2× 1.6k 2.4× 52 0.1× 258 0.6× 447 8.1k
Barbara Weber Austria 51 3.3k 1.2× 2.5k 3.4× 2.7k 4.1× 155 0.3× 101 0.3× 206 10.8k

Countries citing papers authored by Jae K. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae K. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae K. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae K. Lee. A scholar is included among the top collaborators of Jae K. 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 Jae K. Lee. Jae K. 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.
Jin, Huiyi, et al.. (2022). Hematogenous Macrophages Contribute to Fibrotic Scar Formation After Optic Nerve Crush. Molecular Neurobiology. 59(12). 7393–7403. 7 indexed citations
2.
Luo, Xueting, Márcio Ribeiro, Eric R. Bray, et al.. (2016). Enhanced Transcriptional Activity and Mitochondrial Localization of STAT3 Co-induce Axon Regrowth in the Adult Central Nervous System. Cell Reports. 15(2). 398–410. 86 indexed citations
3.
Kim, Youngchul, Saketh R. Guntupalli, Kian Behbakht, et al.. (2014). Retrospective Analysis of Survival Improvement by Molecular Biomarker-Based Personalized Chemotherapy for Recurrent Ovarian Cancer. PLoS ONE. 9(2). e86532–e86532. 8 indexed citations
4.
Zhang, Ying, Yanzhi Yang, Fadila Guessous, et al.. (2013). Hepatocyte Growth Factor Sensitizes Brain Tumors to c-MET Kinase Inhibition. Clinical Cancer Research. 19(6). 1433–1444. 29 indexed citations
5.
Ferriss, J. Stuart, Youngchul Kim, Linda Duska, et al.. (2012). Multi-Gene Expression Predictors of Single Drug Responses to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance. PLoS ONE. 7(2). e30550–e30550. 79 indexed citations
6.
Shen, Kui, Nan Song, Youngchul Kim, et al.. (2012). A Systematic Evaluation of Multi-Gene Predictors for the Pathological Response of Breast Cancer Patients to Chemotherapy. PLoS ONE. 7(11). e49529–e49529. 20 indexed citations
7.
Smith, Steven C., Alexander S. Baras, Garrett M. Dancik, et al.. (2011). A 20-gene model for molecular nodal staging of bladder cancer: development and prospective assessment. The Lancet Oncology. 12(2). 137–143. 100 indexed citations
8.
Cheng, Feng, Dan Theodorescu, Ira G. Schulman, & Jae K. Lee. (2011). In vitro transcriptomic prediction of hepatotoxicity for early drug discovery. Journal of Theoretical Biology. 290. 27–36. 27 indexed citations
9.
Paige, Mikell, et al.. (2011). Pilot analysis of the plasma metabolite profiles associated with emphysematous Chronic Obstructive Pulmonary Disease phenotype. Biochemical and Biophysical Research Communications. 413(4). 588–593. 28 indexed citations
10.
Nagji, Alykhan S., et al.. (2010). Multigene Expression–Based Predictors for Sensitivity to Vorinostat and Velcade in Non–Small Cell Lung Cancer. Molecular Cancer Therapeutics. 9(10). 2834–2843. 15 indexed citations
11.
Lee, Jae K., Charles Coutant, Young Chul Kim, et al.. (2010). Prospective Comparison of Clinical and Genomic Multivariate Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer. Clinical Cancer Research. 16(2). 711–718. 60 indexed citations
12.
Sung, Shian‐Ying, Chia‐Ling Hsieh, Andrew M. K. Law, et al.. (2008). Coevolution of Prostate Cancer and Bone Stroma in Three-Dimensional Coculture: Implications for Cancer Growth and Metastasis. Cancer Research. 68(23). 9996–10003. 124 indexed citations
13.
Arnold, Rebecca S., Carrie Sun, Jendai Richards, et al.. (2008). Mitochondrial DNA mutation stimulates prostate cancer growth in bone stromal environment. The Prostate. 69(1). 1–11. 57 indexed citations
14.
Cho, HyungJun, David M. Smalley, Dan Theodorescu, Klaus Ley, & Jae K. Lee. (2007). Statistical identification of differentially labeled peptides from liquid chromatography tandem mass spectrometry. PROTEOMICS. 7(20). 3681–3692. 18 indexed citations
15.
Park, Taesung, Youngchul Kim, Stefan Bekiranov, & Jae K. Lee. (2007). Error-pooling-based statistical methods for identifying novel temporal replication profiles of human chromosomes observed by DNA tiling arrays. Nucleic Acids Research. 35(9). e69–e69. 8 indexed citations
16.
Kim, Jong Seung, et al.. (2001). Calix(4)azacrown Ethers in Polymeric CTA Membrane. Bulletin of the Korean Chemical Society. 22(5). 519–522. 12 indexed citations
17.
Weinstein, John N., Uwe Scherf, Jae K. Lee, et al.. (2001). The bioinformatics of microarray gene expression profiling. Cytometry. 47(1). 46–49. 12 indexed citations
18.
Woodfolk, Judith A., Sun‐Sang J. Sung, David C. Benjamin, Jae K. Lee, & Thomas A.E. Platts‐Mills. (2000). Distinct Human T Cell Repertoires Mediate Immediate and Delayed-Type Hypersensitivity to the Trichophyton Antigen, Tri r 2. The Journal of Immunology. 165(8). 4379–4387. 52 indexed citations
19.
Lee, Jae K. & Duncan C. Thomas. (2000). Performance of Markov Chain–Monte Carlo Approaches for Mapping Genes in Oligogenic Models with an Unknown Number of Loci. The American Journal of Human Genetics. 67(5). 1232–1250. 26 indexed citations
20.
Lee, Jae K.. (1990). Integration and competition of AI with quantitative methods for decision support. Expert Systems with Applications. 1(4). 329–333. 13 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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