Hee-Chul Shin

620 total citations
35 papers, 417 citations indexed

About

Hee-Chul Shin is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Hee-Chul Shin has authored 35 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cancer Research, 16 papers in Oncology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Hee-Chul Shin's work include Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (9 papers) and Advanced Breast Cancer Therapies (4 papers). Hee-Chul Shin is often cited by papers focused on Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (9 papers) and Advanced Breast Cancer Therapies (4 papers). Hee-Chul Shin collaborates with scholars based in South Korea, Ethiopia and United States. Hee-Chul Shin's co-authors include Wonshik Han, Dong‐Young Noh, Doug Hyun Han, Hee Jun Kim, Sun Mi Kim, Hyeong‐Gon Moon, Soo Kyung Ahn, Sung‐Won Kim, Byung-In Moon and In Ae Park and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Hee-Chul Shin

32 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee-Chul Shin South Korea 9 164 156 102 72 72 35 417
Mary D. Chamberlin United States 10 260 1.6× 117 0.8× 83 0.8× 70 1.0× 108 1.5× 39 469
Toufic Eid Lebanon 11 279 1.7× 131 0.8× 62 0.6× 56 0.8× 87 1.2× 20 520
Maria Margarete Karsten Germany 14 189 1.2× 204 1.3× 107 1.0× 81 1.1× 70 1.0× 44 449
Paula Poikonen‐Saksela Finland 11 346 2.1× 181 1.2× 61 0.6× 56 0.8× 92 1.3× 39 516
Oscar W.K. Mang Hong Kong 11 257 1.6× 138 0.9× 50 0.5× 49 0.7× 104 1.4× 17 486
Kara Laing Canada 12 274 1.7× 138 0.9× 101 1.0× 28 0.4× 114 1.6× 26 537
Joseph C. Del Paggio Canada 13 248 1.5× 109 0.7× 87 0.9× 39 0.5× 126 1.8× 28 796
Neyran Kertmen Türkiye 11 333 2.0× 150 1.0× 90 0.9× 47 0.7× 100 1.4× 56 491
Shelly S. Lo United States 10 286 1.7× 267 1.7× 133 1.3× 66 0.9× 105 1.5× 37 591
Carmel Malone Ireland 11 213 1.3× 179 1.1× 138 1.4× 63 0.9× 78 1.1× 22 551

Countries citing papers authored by Hee-Chul Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Chul Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Chul Shin. 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 Hee-Chul Shin. The network helps show where Hee-Chul Shin may publish in the future.

Co-authorship network of co-authors of Hee-Chul Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Chul Shin. A scholar is included among the top collaborators of Hee-Chul Shin 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 Hee-Chul Shin. Hee-Chul Shin 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.
Yoon, Kwang Hyun, Yeonyee E. Yoon, Seri Jeong, et al.. (2025). Impact of obesity on breast cancer recurrence by menopausal status and subtype: a retrospective cohort study. Breast Cancer Research and Treatment. 214(3). 387–395.
2.
Kim, Hong Kyu, et al.. (2025). Tumor volume as a predictor of recurrence-free survival, but not overall survival, in early breast cancer. European Journal of Surgical Oncology. 51(8). 110024–110024.
3.
Han, Wonshik, Eunhye Kang, Hong‐Kyu Kim, et al.. (2025). Personalized neoadjuvant strategy using 70-gene assay to increase breast-conserving surgery in ER+/HER2– breast cancer. npj Breast Cancer. 11(1). 57–57.
4.
Chu, Hyosub, et al.. (2024). Comparative profiling by data-independent acquisition mass spectrometry reveals featured plasma proteins in breast cancer: a pilot study. Annals of Surgical Treatment and Research. 106(4). 195–195. 2 indexed citations
5.
Kim, Milim, Yujun Park, Hyun Jung Kwon, et al.. (2024). Concordance of HER2 status between core needle biopsy and surgical resection specimens of breast cancer: an analysis focusing on the HER2-low status. Breast Cancer. 31(4). 705–716. 5 indexed citations
6.
Kim, Sun Mi, Mijung Jang, Bo La Yun, et al.. (2024). Automated Versus Handheld Breast Ultrasound for Evaluating Axillary Lymph Nodes in Patients With Breast Cancer. Korean Journal of Radiology. 25(2). 146–146. 2 indexed citations
7.
Han, Wonshik, Eunhye Kang, Hong Kyu Kim, et al.. (2024). Personalized neoadjuvant strategy in ER positive and HER2 negative breast cancer to increase BCS rate (PLATO): A prospective, multicenter, phase II clinical trial.. Journal of Clinical Oncology. 42(16_suppl). 595–595. 2 indexed citations
8.
Lee, Han‐Byoel, et al.. (2023). Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women. Cancer Epidemiology Biomarkers & Prevention. 32(9). 1182–1189. 3 indexed citations
9.
10.
Kim, Eun‐Kyu, Eunyoung Kang, Jee Hyun Kim, et al.. (2023). Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer. Journal of Breast Cancer. 26(4). 353–353. 3 indexed citations
11.
Suh, Koung Jin, Se Hyun Kim, Yu Jung Kim, et al.. (2022). Clinical Application of Next-Generation Sequencing in Patients With Breast Cancer: Real-World Data. Journal of Breast Cancer. 25(5). 366–366. 10 indexed citations
12.
13.
Kim, Min Kyoon & Hee-Chul Shin. (2020). Risk Factors for Tamoxifen-Induced Ovarian Hyperstimulation in Breast Cancer Patients. Clinical Breast Cancer. 20(5). 408–412. 5 indexed citations
14.
Kang, Eunyoung, Eun‐Kyu Kim, Sun Mi Kim, et al.. (2020). External validation and modification of nomogram for predicting positive resection margins before breast conserving surgery. Breast Cancer Research and Treatment. 183(2). 373–380. 4 indexed citations
15.
Yoo, Tae-Kyung, Jung Min Chang, Hee-Chul Shin, et al.. (2017). An objective nodal staging system for breast cancer patients undergoing neoadjuvant systemic treatment. BMC Cancer. 17(1). 389–389. 3 indexed citations
16.
Lee, Han‐Byoel, et al.. (2017). The treatment outcomes and the use of adjuvant therapies in breast cancer patients with severe co-morbidities. PLoS ONE. 12(3). e0173721–e0173721. 3 indexed citations
17.
Han, Wonshik, Hee-Chul Shin, Masahiro Takada, et al.. (2016). Clinical benefit of nomogram for predicting positive resection margins in breast conserving surgery. European Journal of Surgical Oncology. 42(8). 1169–1175. 6 indexed citations
18.
Hwang, Ki‐Tae, Hee-Chul Shin, Han‐Suk Kim, et al.. (2012). Prognostic influence of BCL2 expression in breast cancer. International Journal of Cancer. 131(7). E1109–19. 52 indexed citations
19.
Kim, Hee Jeong, Wonshik Han, Hee-Chul Shin, et al.. (2011). Young age is associated with ipsilateral breast tumor recurrence after breast conserving surgery and radiation therapy in patients with HER2-positive/ER-negative subtype. Breast Cancer Research and Treatment. 130(2). 499–505. 28 indexed citations
20.
Yoon, Bo Hyun, et al.. (2001). Growth pattern of the newborn infants by gestational age.. Korean Journal of Obstetrics & Gynecology. 34(3). 322–330. 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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2026