Sun Wook Han

565 total citations
39 papers, 393 citations indexed

About

Sun Wook Han is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Sun Wook Han has authored 39 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Surgery and 10 papers in Cancer Research. Recurrent topics in Sun Wook Han's work include Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Sun Wook Han is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Sun Wook Han collaborates with scholars based in South Korea, United States and Saudi Arabia. Sun Wook Han's co-authors include Sung Yong Kim, Jong Eun Lee, Hyun Ju Lee, Hyun Deuk Cho, Mee‐Hye Oh, Han Jo Kim, Sang Byung Bae, Sang Mi Lee, Jeong Won Lee and Ji-Hye Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgical Oncology and Cancers.

In The Last Decade

Sun Wook Han

32 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Wook Han South Korea 12 195 110 82 70 62 39 393
D. Violot France 11 108 0.6× 124 1.1× 59 0.7× 71 1.0× 79 1.3× 15 352
Takachika Ozawa Japan 13 118 0.6× 87 0.8× 44 0.5× 101 1.4× 105 1.7× 28 417
Angela Chan Canada 10 195 1.0× 72 0.7× 78 1.0× 93 1.3× 29 0.5× 26 355
Ricardo Pastorello Brazil 11 225 1.2× 32 0.3× 113 1.4× 107 1.5× 58 0.9× 34 439
Šárka Svobodová Czechia 13 132 0.7× 75 0.7× 45 0.5× 61 0.9× 40 0.6× 27 299
Takako Suda Japan 11 136 0.7× 117 1.1× 53 0.6× 70 1.0× 23 0.4× 25 391
İbrahim Petekkaya Türkiye 10 261 1.3× 111 1.0× 121 1.5× 83 1.2× 32 0.5× 24 382
Yasuyoshi Sato Japan 11 187 1.0× 75 0.7× 36 0.4× 102 1.5× 26 0.4× 47 380
Ying‐Hsia Chu United States 14 119 0.6× 147 1.3× 110 1.3× 75 1.1× 73 1.2× 26 492
Chang Hun Lee South Korea 11 172 0.9× 92 0.8× 74 0.9× 86 1.2× 28 0.5× 29 341

Countries citing papers authored by Sun Wook Han

Since Specialization
Citations

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

Fields of papers citing papers by Sun Wook Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Wook Han. 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 Wook Han. The network helps show where Sun Wook Han may publish in the future.

Co-authorship network of co-authors of Sun Wook Han

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Wook Han. A scholar is included among the top collaborators of Sun Wook Han 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 Wook Han. Sun Wook Han 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.
Kim, Zisun, Sung Mo Hur, Jong Eun Lee, et al.. (2025). The Optimal Timing and Duration of Daily G‐CSF for the Primary Prevention of Febrile Neutropenia in Breast Cancer Patients Undergoing Adjuvant TAC Chemotherapy. Asia-Pacific Journal of Clinical Oncology. 21(4). 383–391.
2.
Gu, Gyo‐Jeong, Sung Sik Hur, Yun Kyung Lee, et al.. (2025). Cell surface engineering for inhibition of breast cancer cell motility through modulation of mechanotransduction and focal adhesion dynamics. Journal of Tissue Engineering. 16. 1798884430–1798884430.
3.
4.
5.
Han, Sun Wook, et al.. (2023). Is wide excision really needed? Correlation between resection margin and recurrence in benign phyllodes tumors of the breast. Annals of Surgical Treatment and Research. 105(6). 353–353.
6.
Song, Geum Jong, et al.. (2022). Appendiceal mucocele masquerading as an epithelial borderline ovarian tumor: a case report and literature review. SHILAP Revista de lepidopterología. 18(2). 83–88.
7.
Lee, Jihyoun, Ji Sung Lee, Zisun Kim, et al.. (2021). A Nationwide Study on the Incidence of Breast Cancer in Korean Women with Osteoporosis Receiving Raloxifene Treatment. Journal of Breast Cancer. 24(3). 280–280. 1 indexed citations
8.
Lee, Jihyoun, Michael Seungcheol Kang, Jisun Kim, et al.. (2020). Effect of Tamoxifen on the Risk of Osteoporosis and Osteoporotic Fracture in Younger Breast Cancer Survivors: A Nationwide Study. Frontiers in Oncology. 10. 366–366. 17 indexed citations
9.
Lee, Jeong Won, Sung Yong Kim, Sun Wook Han, et al.. (2020). [18F]FDG uptake of bone marrow on PET/CT for predicting distant recurrence in breast cancer patients after surgical resection. EJNMMI Research. 10(1). 72–72. 22 indexed citations
10.
Park, Suyeon, Myong Hoon Ihn, Sang Hyun Kim, et al.. (2020). Risk of osteoporosis and fracture in long-term breast cancer survivors. SHILAP Revista de lepidopterología. 16(1). 39–45. 4 indexed citations
11.
Jung, Hae Il, et al.. (2019). Small-cell neuroendocrine carcinoma of the ileum: case report and literature review. BMC Surgery. 19(1). 135–135. 5 indexed citations
12.
Lee, Ji-Hye, Sang Byung Bae, Mee‐Hye Oh, et al.. (2017). Clinicopathologic and Prognostic Significance of Transducin-Like Enhancer of Split 1 Protein Expression in Invasive Breast Cancer. Journal of Breast Cancer. 20(1). 45–45. 10 indexed citations
13.
Jang, Si‐Hyong, Jong Eun Lee, Mee‐Hye Oh, et al.. (2016). High EZH2 Protein Expression Is Associated with Poor Overall Survival in Patients with Luminal A Breast Cancer. Journal of Breast Cancer. 19(1). 53–53. 31 indexed citations
14.
Kim, Shin Young, et al.. (2014). Primary neuroendocrine carcinoma of the breast: radiologic and pathologic correlation. Clinical Imaging. 38(5). 734–738. 13 indexed citations
15.
Lee, Sang Mi, et al.. (2014). Prediction of the success of thyroid remnant ablation using preablative 99mTc pertechnetate scintigraphy and postablative dual 131I scintigraphy. Nuclear Medicine Communications. 36(1). 38–44. 10 indexed citations
16.
Lee, Jeong Won, Sang Mi Lee, Kyu Taek Lee, et al.. (2014). Lymphadenopathy by Scrub Typhus Mimicking Metastasis on FDG PET/CT in a Patient with a History of Breast Cancer. Nuclear Medicine and Molecular Imaging. 49(2). 157–159. 3 indexed citations
17.
Lee, Jun Ho, Sung Yong Kim, Jeong Eon Lee, et al.. (2014). Polyostotic Fibrous Dysplasia Mimicking Multiple Bone Metastases in a Patient with Ductal CarcinomaIn Situ. Journal of Breast Cancer. 17(1). 83–83. 2 indexed citations
18.
Lee, Jihyoun, Ji Hye Park, Hyun‐Ah Kim, et al.. (2013). Toxicity and quality of life of Korean breast cancer patients treated with docetaxel-containing chemotherapy without primary G-CSF prophylaxis. Breast Cancer. 21(6). 670–676. 9 indexed citations
19.
Jeong, Dongjun, Ji Hye Park, Sun Wook Han, et al.. (2012). BRAF V600E Mutation Analysis in Papillary Thyroid Carcinomas by Peptide Nucleic Acid Clamp Real-time PCR. Annals of Surgical Oncology. 20(3). 759–766. 43 indexed citations
20.
Son, Myoung Won, Sun Wook Han, Sang Ho Bae, et al.. (2012). Clinicopathologic change of gastrointestinal stromal tumor after neoadjuvant imatinib followed by surgical resection. Journal of the Korean Surgical Society. 82(2). 120–120. 7 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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