Chan‐Young Ock

2.1k total citations
98 papers, 989 citations indexed

About

Chan‐Young Ock is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chan‐Young Ock has authored 98 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 42 papers in Pulmonary and Respiratory Medicine and 37 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chan‐Young Ock's work include Radiomics and Machine Learning in Medical Imaging (36 papers), Cancer Immunotherapy and Biomarkers (32 papers) and Cancer Genomics and Diagnostics (19 papers). Chan‐Young Ock is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (36 papers), Cancer Immunotherapy and Biomarkers (32 papers) and Cancer Genomics and Diagnostics (19 papers). Chan‐Young Ock collaborates with scholars based in South Korea, United States and Ethiopia. Chan‐Young Ock's co-authors include Bhumsuk Keam, Soo Ick Cho, Dae Seog Heo, Seokhwi Kim, Tae Min Kim, Kyunghyun Paeng, Sangwon Shin, Jong Seok Ahn, Eun Kyung Park and Su‐A Yang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chan‐Young Ock

86 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan‐Young Ock South Korea 17 508 276 249 233 150 98 989
Francesco Giotta Italy 21 574 1.1× 258 0.9× 154 0.6× 255 1.1× 230 1.5× 98 1.1k
Michael J. Baine United States 21 735 1.4× 384 1.4× 408 1.6× 284 1.2× 313 2.1× 81 1.5k
Xiangqian Zheng China 19 316 0.6× 168 0.6× 442 1.8× 144 0.6× 163 1.1× 94 1.2k
Wei‐Xiong Xia China 19 408 0.8× 208 0.8× 188 0.8× 135 0.6× 156 1.0× 65 912
Wenjun Xiong China 18 295 0.6× 291 1.1× 396 1.6× 139 0.6× 136 0.9× 80 1.0k
Feng Han China 18 240 0.5× 168 0.6× 234 0.9× 175 0.8× 171 1.1× 59 969
Zhendong Chen China 17 521 1.0× 357 1.3× 102 0.4× 194 0.8× 114 0.8× 54 1.0k
Wenchao Gu China 18 219 0.4× 347 1.3× 330 1.3× 182 0.8× 209 1.4× 72 963

Countries citing papers authored by Chan‐Young Ock

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Young Ock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan‐Young Ock

This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Young Ock. A scholar is included among the top collaborators of Chan‐Young Ock 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 Chan‐Young Ock. Chan‐Young Ock 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.
Hong, Min Hee, Gamin Kim, Yoon Woo Koh, et al.. (2025). Comparative single‐cell analysis of esophageal cancer subtypes reveals tumor microenvironment distinctions explaining varied immunotherapy responses. Cancer Communications. 45(9). 1194–1199. 2 indexed citations
2.
Hwang, Soohyun, Boram Lee, Hye Min Kim, et al.. (2025). Artificial intelligence-powered spatial analysis of tumor microenvironment in patients with non-small cell lung cancer with acquired resistance to EGFR tyrosine kinase inhibitor. Journal for ImmunoTherapy of Cancer. 13(10). e012374–e012374. 1 indexed citations
3.
Lim, Yoojoo, Chan‐Young Ock, Jeonghwan Youk, et al.. (2025). Predictive role of tumor-infiltrating lymphocytes and immune phenotype for pembrolizumab in relapsed or refractory thymic carcinoma. Journal of Thoracic Disease. 17(7). 4409–4419.
4.
Shin, Sangwon, Soo Ick Cho, Wonkyung Jung, et al.. (2024). Artificial intelligence (AI) -powered H&E whole-slide image (WSI) analysis of tertiary lymphoid structure (TLS) to predict response to immunotherapy in non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 42(16_suppl). 3135–3135. 3 indexed citations
5.
Lim, Ho Yeong, Jin Seok Ahn, Joon Oh Park, et al.. (2024). Updated safety, efficacy, pharmacokinetics, and biomarkers from the phase 1 study of IMC-002, a novel anti-CD47 monoclonal antibody, in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 2642–2642. 2 indexed citations
6.
Kim, Hyojin, Seokhwi Kim, Sangjoon Choi, et al.. (2024). Clinical Validation of Artificial Intelligence–Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non–Small Cell Lung Cancer. JCO Precision Oncology. 8(8). e2300556–e2300556. 12 indexed citations
7.
Hwang, Soohyun, You-Hyun Kim, Soo Ick Cho, et al.. (2024). Immune phenotype profiling based on anatomic origin of melanoma and impact on clinical outcomes of immune checkpoint inhibitor treatment.. Journal of Clinical Oncology. 42(16_suppl). 9569–9569. 1 indexed citations
8.
Lee, Kyu Sang, Soo Ick Cho, Seonwook Park, et al.. (2024). An artificial intelligence‐powered PD‐L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability. Histopathology. 85(1). 81–91. 5 indexed citations
9.
Kim, Sung Sun, Woo‐Kyun Bae, Ik‐Joo Chung, et al.. (2024). Tumor Immune Microenvironment Biomarkers for Recurrence Prediction in Locally Advanced Rectal Cancer Patients after Neoadjuvant Chemoradiotherapy. Cancers. 16(19). 3353–3353. 1 indexed citations
11.
Brattoli, Biagio, Taebum Lee, Wonkyung Jung, et al.. (2024). A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types. npj Precision Oncology. 8(1). 277–277. 4 indexed citations
12.
Lim, Yoojoo, Chan‐Young Ock, Gahee Park, et al.. (2023). Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma. Head & Neck. 45(12). 3086–3095. 5 indexed citations
13.
Ahn, Jong Seok, Sangwon Shin, Su‐A Yang, et al.. (2023). Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine. Journal of Breast Cancer. 26(5). 405–405. 76 indexed citations
15.
Park, Gahee, Jongchan Park, Jeanne Shen, et al.. (2023). Relationship between tumor microenvironment (TME)-based histomic TGFβ signature (TGFBs), stromal fibroblast recruitment, and exclusion of immune cells as immunotherapy resistance mechanisms.. Journal of Clinical Oncology. 41(16_suppl). 2585–2585. 1 indexed citations
16.
Jung, Hyun Ae, Keon Uk Park, Sang‐Hee Cho, et al.. (2022). A Phase II Study of Nivolumab plus Gemcitabine in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma (KCSG HN17–11). Clinical Cancer Research. 28(19). 4240–4247. 18 indexed citations
17.
Park, Changhee, Chan‐Young Ock, Young Han Lee, et al.. (2022). Therapeutic Implications of TGF-β Pathway in Desmoid Tumor Based on Comprehensive Molecular Profiling and Clinicopathological Properties. Cancers. 14(23). 5975–5975. 5 indexed citations
18.
Kim, Miso, Bhumsuk Keam, Chan‐Young Ock, et al.. (2020). Phase II study of durvalumab and tremelimumab in pulmonary sarcomatoid carcinoma: KCSG‐LU16‐07. Thoracic Cancer. 11(12). 3482–3489. 19 indexed citations
19.
Jang, Ji-Young, Jaemoon Koh, Dohee Kwon, et al.. (2019). P2.04-42 PD-L1-Mediated Enhancement of Hexokinase 2 Expression Is Inversely Related to T-Cell Effector Gene Expression in Non-Small-Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S724–S725. 1 indexed citations
20.
Kim, Yoon Jun, Chan‐Young Ock, Bhumsuk Keam, et al.. (2018). OA11.05 Phase II Study of Sunitinib in Patients with Thymic Carcinoma Previously Treated with Platinum-Based Chemotherapy (KOSMIC Trial). Journal of Thoracic Oncology. 13(10). S346–S347. 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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