Sun‐Young Kong

5.3k total citations · 1 hit paper
204 papers, 3.7k citations indexed

About

Sun‐Young Kong is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sun‐Young Kong has authored 204 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Oncology, 71 papers in Molecular Biology and 37 papers in Cancer Research. Recurrent topics in Sun‐Young Kong's work include Cancer Genomics and Diagnostics (24 papers), BRCA gene mutations in cancer (23 papers) and Multiple Myeloma Research and Treatments (16 papers). Sun‐Young Kong is often cited by papers focused on Cancer Genomics and Diagnostics (24 papers), BRCA gene mutations in cancer (23 papers) and Multiple Myeloma Research and Treatments (16 papers). Sun‐Young Kong collaborates with scholars based in South Korea, United States and United Kingdom. Sun‐Young Kong's co-authors include Eun Sook Lee, Hyeon‐Seok Eom, Byung‐Ho Nam, Virginia B. Kraus, Thomas Stäbler, So‐Youn Jung, Kyong‐Ah Yoon, Woo Jin Lee, Joong‐Won Park and In Hae Park and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Sun‐Young Kong

190 papers receiving 3.7k 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.

GPR143 controls ESCRT-dependent exosome biogenesis and promotes cancer metastasis

2023 97 citations Sun‐Young Kong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sun‐Young Kong South Korea	32	1.4k	1.3k	683	498	425	204	3.7k
Gerald W. Prager Austria	32	1.0k 0.7×	1.7k 1.3×	921 1.3×	802 1.6×	243 0.6×	171	3.5k
Flora Zagouri Greece	33	1.2k 0.8×	1.7k 1.3×	873 1.3×	718 1.4×	341 0.8×	301	4.0k
Takashi Kijima Japan	26	1.3k 0.9×	1.4k 1.0×	320 0.5×	1.2k 2.4×	250 0.6×	167	3.4k
Marco Danova Italy	30	1.1k 0.8×	1.6k 1.2×	634 0.9×	576 1.2×	553 1.3×	226	3.5k
Dominique Valteau‐Couanet France	46	2.5k 1.8×	1.4k 1.0×	1.7k 2.5×	682 1.4×	683 1.6×	189	6.6k
Rebecca L. Stone United States	38	1.5k 1.1×	1.6k 1.2×	745 1.1×	499 1.0×	197 0.5×	136	4.6k
Lia Gore United States	43	2.6k 1.8×	2.6k 1.9×	632 0.9×	821 1.6×	1.1k 2.6×	202	6.1k
Jacintha O’Sullivan Ireland	41	2.2k 1.5×	1.7k 1.3×	1.2k 1.7×	697 1.4×	226 0.5×	171	5.3k
Giannoula Klement United States	29	2.3k 1.7×	1.7k 1.3×	1.2k 1.7×	666 1.3×	847 2.0×	67	4.9k
Klaas Hoekman Netherlands	41	1.9k 1.4×	2.4k 1.8×	983 1.4×	999 2.0×	478 1.1×	102	5.2k

Countries citing papers authored by Sun‐Young Kong

Since Specialization

Citations

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

Fields of papers citing papers by Sun‐Young Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun‐Young Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Young Kong. A scholar is included among the top collaborators of Sun‐Young Kong 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 Sun‐Young Kong. Sun‐Young Kong 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

Park, Jong Eun, Taeheon Lee, Mi‐Ae Jang, et al.. (2025). Prevalence of germline CHEK2 variants in East Asians and Koreans based on population genomic databases. Breast Cancer. 33(1). 80–87.

Kim, Tackhoon, Donghwa Kim, Sang Kook Lee, et al.. (2025). Combinatorial CRISPR screen reveals FYN and KDM4 as targets for synergistic drug combination for treating triple negative breast cancer. eLife. 13. 5 indexed citations

Shim, Hyoeun, Jiyu Sun, Sung Chan Park, et al.. (2025). Clinical Utility of Monitoring Circulating Tumor DNA Using a Targeted Next-generation Sequencing Panel in Patients with Colorectal Cancer. Annals of Laboratory Medicine. 45(4). 450–458.

Chang, Yoon Jung, et al.. (2024). Cross‐cultural validation of the genetic counseling outcome scale in Korea. Journal of Genetic Counseling. 34(2). e1961–e1961. 3 indexed citations

Chun, Jung Won, Yu‐Sun Lee, Sung Jun Kim, et al.. (2024). ATR inhibition promotes synergistic antitumor effect in platinum-resistant pancreatic cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(3). 167625–167625.

Chang, Yoon Jung, Sun‐Young Kong, Chong Woo Yoo, et al.. (2024). The pathologic and clinical outcomes of risk-reducing salpingo-oophorectomy in asymptomatic carriers of homologous recombination repair gene mutation. Journal of Gynecologic Oncology. 36(2). e15–e15.

Park, Y. S., Eun‐Gyeong Lee, Heejung Chae, et al.. (2024). Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning. Cancers. 16(22). 3799–3799. 2 indexed citations

Kim, Tackhoon, Donghwa Kim, Sang Kook Lee, et al.. (2024). Combinatorial CRISPR screen reveals FYN and KDM4 as targets for synergistic drug combination for treating triple negative breast cancer. eLife. 13. 3 indexed citations

Shim, Hyoeun, et al.. (2024). Preoperative laboratory parameters associated with deep vein thrombosis in patients with ovarian cancer: retrospective analysis of 3,147 patients in a single institute. Journal of Gynecologic Oncology. 35(4). e38–e38. 2 indexed citations

10.

Kim, Seung‐Hoon, Min Young Kim, So Yeon Oh, et al.. (2023). Fully Automated Continuous Centrifugal Microfluidics Isolates Natural Killer Cells with High Performance and Minimal Stress. Analytical Chemistry. 95(26). 9949–9958. 7 indexed citations

11.

Kang, Danbee, Sun‐Young Kong, Yoon Jung Chang, et al.. (2023). Surveillance of Symptom Burden Using the Patient-Reported Outcome Version of the Common Terminology Criteria for Adverse Events in Patients With Various Types of Cancers During Chemoradiation Therapy: Real-World Study. JMIR Public Health and Surveillance. 9. e44105–e44105. 11 indexed citations

12.

Lee, Young Ki, Yul Hwangbo, Sangwon Lee, et al.. (2020). Aspirin Use Is Not Associated with Lower Thyroid Cancer Risk: A Nationwide Nested Case–Control Study. Thyroid. 30(6). 829–837. 5 indexed citations

13.

Chung, Yousun, Hyoeun Shim, Dong-Eun Lee, et al.. (2020). Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies. Annals of Laboratory Medicine. 40(4). 312–316. 2 indexed citations

14.

Lee, Eun Sook, Sun‐Young Kong, So‐Youn Jung, et al.. (2019). <p>Night-shift work and risk of breast cancer in Korean women</p>. Clinical Epidemiology. Volume 11. 743–751. 14 indexed citations

15.

Park, In Hae, Han Na Yang, Su Yeon Jeon, et al.. (2019). Anti-tumor activity of BET inhibitors in androgen-receptor-expressing triple-negative breast cancer. Scientific Reports. 9(1). 13305–13305. 17 indexed citations

16.

Yoon, Kyong‐Ah, Sang Myung Woo, Yun‐Hee Kim, et al.. (2019). Comprehensive Cancer Panel Sequencing Defines Genetic Diversity and Changes in the Mutational Characteristics of Pancreatic Cancer Patients Receiving Neoadjuvant Treatment. Gut and Liver. 13(6). 683–689. 16 indexed citations

17.

Kim, Ji‐Hyun, Youngmee Kwon, Keun Seok Lee, et al.. (2019). Genomic Characteristics of Triple-Negative Breast Cancer Nominate Molecular Subtypes That Predict Chemotherapy Response. Molecular Cancer Research. 18(2). 253–263. 30 indexed citations

18.

Fabre, Claire, Naoya Mimura, Kathryn Bobb, et al.. (2012). Dual Inhibition of Canonical and Noncanonical NF-κB Pathways Demonstrates Significant Antitumor Activities in Multiple Myeloma. Clinical Cancer Research. 18(17). 4669–4681. 66 indexed citations

19.

Jakubı́ková, Jana, Sophia Adamia, Maria Kost‐Alimova, et al.. (2011). Lenalidomide targets clonogenic side population in multiple myeloma: pathophysiologic and clinical implications. Blood. 117(17). 4409–4419. 122 indexed citations

20.

Kong, Sun‐Young, Joong‐Won Park, Jung Eun Park, et al.. (2007). Association between vascular endothelial growth factor gene polymorphisms and survival in hepatocellular carcinoma patients†. Hepatology. 46(2). 446–455. 64 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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