Taesung Park

51.7k total citations · 4 hit papers
425 papers, 24.8k citations indexed

About

Taesung Park is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Taesung Park has authored 425 papers receiving a total of 24.8k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Molecular Biology, 140 papers in Genetics and 47 papers in Cancer Research. Recurrent topics in Taesung Park's work include Genetic Associations and Epidemiology (106 papers), Gene expression and cancer classification (90 papers) and Bioinformatics and Genomic Networks (86 papers). Taesung Park is often cited by papers focused on Genetic Associations and Epidemiology (106 papers), Gene expression and cancer classification (90 papers) and Bioinformatics and Genomic Networks (86 papers). Taesung Park collaborates with scholars based in South Korea, United States and Puerto Rico. Taesung Park's co-authors include Jun-Yan Zhu, Phillip Isola, Alexei A. Efros, Ming-Yu Liu, Ting-Chun Wang, Gong Tang, Soonmyung Paik, Michael G. Walker, Chungyeul Kim and Joffre Baker and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Taesung Park

397 papers receiving 24.1k citations

Hit Papers

align trajectories

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.

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

2017 12.5k citations Taesung Park et al. profile →
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer

2004 4.5k citations Taesung Park et al. profile →
Semantic Image Synthesis With Spatially-Adaptive Normalization

2019 1.5k citations Taesung Park et al. profile →
Scaling up GANs for Text-to-Image Synthesis

2023 186 citations Taesung Park et al. profile →

Peers

Countries citing papers authored by Taesung Park

Since Specialization

Citations

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

Fields of papers citing papers by Taesung Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taesung Park

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multi-Band NIR-Based Low-Light Image Enhancement via Dual-Teacher Cross Attention 2024 ·IEEE Access ·(unknown), (unknown), (unknown), Taesung Park, Jong‐Ok Kim	1
2	Clinical features of COVID-19 among patients with end-stage renal disease on hemodialysis in the context of high vaccination coverage during the omicron surge period: a retrospective cohort study 2023 ·BMC Nephrology ·Nam Seon Beck, Soomin C. Song, Taesung Park, So‐hyeon Hong, (unknown), (unknown), (unknown), Sae‐Yong Hong	1
3	An analysis of the waning effect of COVID-19 vaccinations 2023 ·Genomics & Informatics ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Taesung Park	1
4	Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea 2022 ·Genomics & Informatics ·(unknown), (unknown), Taesung Park	11
5	Kernel-based hierarchical structural component models for pathway analysis 2022 ·Bioinformatics ·(unknown), Sungyoung Lee, Seungyeoun Lee, Heungsun Hwang, Inyoung Kim, Taesung Park	2
6	Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma 2021 ·Cancers ·(unknown), Se Ik Kim, Ju-Hyun Kim, Kyung Jin Eoh, (unknown), Young Tae Kim, Dae‐Shik Suh, Taesung Park, Yong Sang Song	21
7	PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method 2021 ·Bioinformatics ·Seungyoon Nam, Sungyoung Lee, Sungjin Park, Jinhyuk Lee, (unknown), Yon Hui Kim, Taesung Park	7
8	Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea 2021 ·International Journal of Environmental Research and Public Health ·(unknown), (unknown), (unknown), (unknown), Hye Won Chung, (unknown), (unknown), (unknown), (unknown), (unknown), Taesung Park	9
9	Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study 2021 ·Journal of Medical Internet Research ·Bumjo Oh, (unknown), (unknown), (unknown), (unknown), (unknown), Hyejin Lee, Seungyeoun Lee, Min Kyong Moon, Shin‐Woo Kim, Taesung Park	14
10	HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene–Environment Interactions 2020 ·International Journal of Molecular Sciences ·Sungkyoung Choi, Sungyoung Lee, Iksoo Huh, Heungsun Hwang, Taesung Park	4
11	Characterization and Validation of an “Acute Aerobic Exercise Load” as a Tool to Assess Antioxidative and Anti-inflammatory Nutrition in Healthy Subjects Using a Statistically Integrated Approach in a Comprehensive Clinical Trial 2019 ·Oxidative Medicine and Cellular Longevity ·You Jin Kim, Sungkyoung Choi, Sungyoung Lee, Saejong Park, Ji Yeon Kim, Taesung Park, Oran Kwon	3
12	Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes 2019 ·Genomics & Informatics ·(unknown), (unknown), Taesung Park	2
13	HisCoM-PAGE: Hierarchical Structural Component Models for Pathway Analysis of Gene Expression Data 2019 ·Genes ·(unknown), Yongkang Kim, Sungyoung Lee, Sungkyoung Choi, Seungyeoun Lee, Jin‐Young Jang, Taesung Park	5
14	Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes 2019 ·BioMed Research International ·(unknown), (unknown), Hye-Young Jung, Taesung Park, Mira Park	6
15	Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data 2018 ·Genomics & Informatics ·(unknown), (unknown), Se Ik Kim, TaeJin Ahn, Yong Sang Song, Taesung Park	0
16	EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution 2018 ·Genomics & Informatics ·Sangseob Leem, Taesung Park	4
17	Definition of Smad3 Phosphorylation Events That Affect Malignant and Metastatic Behaviors in Breast Cancer Cells 2014 ·Cancer Research ·Eunjin Bae, Misako Sato, Ran‐Ju Kim, (unknown), Kazuhito Naka, Jungsoo Gim, Mitsutaka Kadota, Binwu Tang, Kathleen C. Flanders, Tae‐Aug Kim, Sun‐Hee Leem, Taesung Park, Fang Liu, Lalage M. Wakefield, Seong‐Jin Kim, Akira Ooshima	29
18	On the use of working correlation matrices in the gee approach for longitudinal data 1999 ·Communications in Statistics - Simulation and Computation ·Taesung Park, (unknown)	8
19	A Simple Method for Generating Correlated Binary Variates 1996 ·The American Statistician ·(unknown), Taesung Park, Dong Wan Shin	104
20	Models for Categorical Data with Nonignorable Nonresponse 1994 ·Journal of the American Statistical Association ·Taesung Park, Morton B. Brown	60

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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