Seong‐Keun Yoo

2.4k total citations · 1 hit paper
27 papers, 895 citations indexed

About

Seong‐Keun Yoo is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Seong‐Keun Yoo has authored 27 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Seong‐Keun Yoo's work include Thyroid Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (6 papers) and Genetic factors in colorectal cancer (5 papers). Seong‐Keun Yoo is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (6 papers) and Genetic factors in colorectal cancer (5 papers). Seong‐Keun Yoo collaborates with scholars based in South Korea, United States and Puerto Rico. Seong‐Keun Yoo's co-authors include Jeong‐Sun Seo, Young Shin Song, Young Joo Park, Sun Wook Cho, Kyu Eun Lee, Su‐jin Kim, Jong‐Il Kim, Jong-Yeon Shin, Jae‐Kyung Won and Seungbok Lee and has published in prestigious journals such as Science, Nature Communications and Cancer Research.

In The Last Decade

Seong‐Keun Yoo

27 papers receiving 890 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.

LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features

2024 50 citations Tiangen Chang, Yingying Cao et al. Nature Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seong‐Keun Yoo South Korea	16	466	304	266	201	138	27	895
Elaine Cristina Morari Brazil	18	432 0.9×	388 1.3×	323 1.2×	124 0.6×	138 1.0×	28	859
T Brown United States	14	447 1.0×	267 0.9×	293 1.1×	186 0.9×	123 0.9×	43	903
Jung Hyun Yang South Korea	17	294 0.6×	167 0.5×	227 0.9×	78 0.4×	68 0.5×	44	830
Qiu Qin China	17	176 0.4×	247 0.8×	77 0.3×	158 0.8×	37 0.3×	45	753
Venessa Tsang Australia	21	391 0.8×	211 0.7×	600 2.3×	112 0.6×	143 1.0×	48	1.1k
Małgorzata Kowalska Poland	15	188 0.4×	281 0.9×	127 0.5×	63 0.3×	79 0.6×	37	594
Warren Hartwick Canada	8	152 0.3×	485 1.6×	598 2.2×	73 0.4×	76 0.6×	12	935
Jun Fujita Japan	12	105 0.2×	251 0.8×	104 0.4×	167 0.8×	155 1.1×	37	713
Valentina Tuninetti Italy	12	93 0.2×	186 0.6×	271 1.0×	79 0.4×	100 0.7×	28	600
Yalan Bi China	16	88 0.2×	163 0.5×	221 0.8×	62 0.3×	146 1.1×	51	718

Countries citing papers authored by Seong‐Keun Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Seong‐Keun Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Keun Yoo. 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 Seong‐Keun Yoo. The network helps show where Seong‐Keun Yoo may publish in the future.

Co-authorship network of co-authors of Seong‐Keun Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Keun Yoo. A scholar is included among the top collaborators of Seong‐Keun Yoo 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 Seong‐Keun Yoo. Seong‐Keun Yoo 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

Chang, Tiangen, Yingying Cao, Se‐Hoon Lee, et al.. (2024). LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features. Nature Cancer. 5(8). 1158–1175. 50 indexed citations breakdown →

Krishna, Chirag, Miriam Saffern, E. A. Wilson, et al.. (2024). An immunogenetic basis for lung cancer risk. Science. 383(6685). eadi3808–eadi3808. 15 indexed citations

Hwang, Jinha, et al.. (2024). Image-based deep learning model using DNA methylation data predicts the origin of cancer of unknown primary. Neoplasia. 55. 101021–101021. 4 indexed citations

Lee, Andrew S., Cristina Valero, Seong‐Keun Yoo, et al.. (2023). Validation of a Machine Learning Model to Predict Immunotherapy Response in Head and Neck Squamous Cell Carcinoma. Cancers. 16(1). 175–175. 1 indexed citations

Alban, Tyler, Nadeem Riaz, Vlad Makarov, et al.. (2023). Abstract 1125: Neoantigen immunogenicity landscapes and evolution of tumor ecosystems during immunotherapy with nivolumab. Cancer Research. 83(7_Supplement). 1125–1125. 1 indexed citations

Yoo, Seong‐Keun, Diego Chowell, Cristina Valero, Luc G.T. Morris, & Timothy A. Chan. (2022). Pre-treatment serum albumin and mutational burden as biomarkers of response to immune checkpoint blockade. npj Precision Oncology. 6(1). 23–23. 28 indexed citations

Spangenberg, Lucía, María Inés Fariello, Gonzalo Greif, et al.. (2021). Indigenous Ancestry and Admixture in the Uruguayan Population. Frontiers in Genetics. 12. 733195–733195. 6 indexed citations

Song, Young Shin, Byung Hee Kang, Seungbok Lee, et al.. (2020). Genomic and Transcriptomic Characteristics According to Size of Papillary Thyroid Microcarcinoma. Cancers. 12(5). 1345–1345. 17 indexed citations

Yoo, Seong‐Keun, Young Shin Song, Young Joo Park, & Jeong‐Sun Seo. (2020). Recent Improvements in Genomic and Transcriptomic Understanding of Anaplastic and Poorly Differentiated Thyroid Cancers. Endocrinology and Metabolism. 35(1). 44–54. 18 indexed citations

10.

Yoo, Seong‐Keun, Young Shin Song, Eun Kyung Lee, et al.. (2019). Integrative analysis of genomic and transcriptomic characteristics associated with progression of aggressive thyroid cancer. Nature Communications. 10(1). 2764–2764. 179 indexed citations

11.

Kim, Min Joo, Hyun Jin Sun, Young Shin Song, et al.. (2019). CXCL16 positively correlated with M2-macrophage infiltration, enhanced angiogenesis, and poor prognosis in thyroid cancer. Scientific Reports. 9(1). 13288–13288. 59 indexed citations

12.

Song, Young Shin, Seong‐Keun Yoo, Hwan Hee Kim, et al.. (2019). Interaction of BRAF-induced ETS factors with mutant TERT promoter in papillary thyroid cancer. Endocrine Related Cancer. 26(6). 629–641. 55 indexed citations

13.

Yoo, Seong‐Keun, Hie Lim Kim, Sungjae Kim, et al.. (2019). NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants. Genome Medicine. 11(1). 64–64. 27 indexed citations

14.

Clayman, Gary L., Ian D. Hay, Mimi I. Hu, et al.. (2018). 88 ^th Annual Meeting of the American Thyroid Association. Thyroid. 28(S1). P–1. 6 indexed citations

15.

Jang, Se Song, Byung Chan Lim, Seong‐Keun Yoo, et al.. (2018). Targeted linked-read sequencing for direct haplotype phasing of maternal DMD alleles: a practical and reliable method for noninvasive prenatal diagnosis. Scientific Reports. 8(1). 8678–8678. 22 indexed citations

16.

Yoo, Seong‐Keun, Young Shin Song, Su‐jin Kim, et al.. (2018). Transcriptome Network Analysis Reveals Aging-Related Mitochondrial and Proteasomal Dysfunction and Immune Activation in Human Thyroid. Thyroid. 28(5). 656–666. 23 indexed citations

17.

Kim, Seunghyo, Ha Young Kim, Dongsup Kim, et al.. (2016). FARS2 mutation and epilepsy: Possible link with early-onset epileptic encephalopathy. Epilepsy Research. 129. 118–124. 19 indexed citations

18.

Lim, Byung Chan, Seong‐Keun Yoo, Seungbok Lee, et al.. (2014). Hoyeraal–Hreidarsson syndrome with a DKC1 mutation identified by whole-exome sequencing. Gene. 546(2). 425–429. 11 indexed citations

19.

Chung, Nack‐Gyun, et al.. (2012). Combined analysis of the MspI and XbaI polymorphisms in intron 22 of the factor VIII gene for detection of hemophilia A in a Korean population. Genetics and Molecular Research. 11(1). 1–9. 2 indexed citations

20.

Yoo, Seong‐Keun, et al.. (1999). Design and implementation of a web-based Internet performance management system using SNMP MIB-II. International Journal of Network Management. 9(5). 309–321. 3 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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