Hee Jun Choi

676 total citations
43 papers, 453 citations indexed

About

Hee Jun Choi is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Hee Jun Choi has authored 43 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cancer Research, 16 papers in Pathology and Forensic Medicine and 16 papers in Oncology. Recurrent topics in Hee Jun Choi's work include Breast Cancer Treatment Studies (24 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (11 papers). Hee Jun Choi is often cited by papers focused on Breast Cancer Treatment Studies (24 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (11 papers). Hee Jun Choi collaborates with scholars based in South Korea, United States and Japan. Hee Jun Choi's co-authors include Seok Jin Nam, Jai Min Ryu, Jeong Eon Lee, Seok Won Kim, Isaac Kim, Se Kyung Lee, Jonghan Yu, Jong Han Yu, Chang Soo Kang and Seong Hun Kim and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Annals of Surgery.

In The Last Decade

Hee Jun Choi

38 papers receiving 448 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 Jun Choi South Korea 15 240 140 134 125 65 43 453
Giulia Orsi Italy 12 113 0.5× 220 1.6× 115 0.9× 55 0.4× 171 2.6× 34 514
Inge Ubink Netherlands 14 97 0.4× 241 1.7× 139 1.0× 93 0.7× 145 2.2× 19 459
E T Verghese United Kingdom 6 147 0.6× 110 0.8× 60 0.4× 65 0.5× 186 2.9× 6 429
Xu–Ting Zhi China 12 189 0.8× 143 1.0× 135 1.0× 39 0.3× 232 3.6× 31 543
Billur Şamli United States 10 252 1.1× 247 1.8× 109 0.8× 189 1.5× 137 2.1× 13 596
Berit M. Pfitzner Germany 11 236 1.0× 262 1.9× 54 0.4× 64 0.5× 243 3.7× 26 620
Manuela Lacerda Portugal 11 141 0.6× 149 1.1× 58 0.4× 86 0.7× 170 2.6× 14 398
Xianbao Zhan China 13 161 0.7× 415 3.0× 152 1.1× 109 0.9× 227 3.5× 26 671
Jianwei Zhu China 15 187 0.8× 107 0.8× 78 0.6× 44 0.4× 322 5.0× 58 606
Su Mei Cao China 6 137 0.6× 281 2.0× 140 1.0× 45 0.4× 173 2.7× 19 586

Countries citing papers authored by Hee Jun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hee Jun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Jun Choi. 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 Jun Choi. The network helps show where Hee Jun Choi may publish in the future.

Co-authorship network of co-authors of Hee Jun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Jun Choi. A scholar is included among the top collaborators of Hee Jun Choi 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 Jun Choi. Hee Jun Choi 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.
2.
Park, Ji-Won, Hyunwoo Lee, Se Kyung Lee, et al.. (2025). Potential for omitting sentinel lymph node biopsy in patients with human epidermal growth factor receptor 2-positive or triple negative breast cancer with non-breast pCR after neoadjuvant chemotherapy. European Journal of Surgical Oncology. 51(10). 110331–110331. 1 indexed citations
3.
4.
Kim, Joo Heung, Sae Byul Lee, Jung Eun Choi, et al.. (2024). Trends in Operation Times for Robot-assisted Nipple-sparing Mastectomy Performed by Expert Breast Surgeons. 5(1). 1–1.
5.
Kim, Hyun-Jung, Tae Gyu Kim, Jun Ho Lee, et al.. (2024). Tailored radiation dose according to margin width for patients with ductal carcinoma in situ after breast-conserving surgery. Scientific Reports. 14(1). 300–300.
6.
Lee, Jun Ho, Hee Jun Choi, Jung‐Woo Woo, & Eun‐Jung Jung. (2023). Robotic versus endoscopic transoral thyroidectomy in papillary thyroid cancer: A comparative analysis of surgical outcomes in 240 consecutive patients. Head & Neck. 45(4). 827–837. 6 indexed citations
7.
8.
Choi, Hee Jun, Jai Min Ryu, Byung Joo Chae, et al.. (2021). Effect of Poloxamer-Based Thermo-Sensitive Sol-Gel Agent on Upper Limb Dysfunction after Axillary Lymph Node Dissection: A Double-Blind Randomized Clinical Trial. Journal of Breast Cancer. 24(4). 367–367. 3 indexed citations
9.
Lim, Hye In, Jun Yamamoto, Yu Sun, et al.. (2020). Response of Triple-negative Breast Cancer Liver Metastasis to Oral Recombinant Methioninase in a Patient-derived Orthotopic Xenograft (PDOX) Model. In Vivo. 34(6). 3163–3169. 19 indexed citations
10.
Lim, Hye In, Jun Yamamoto, Sachiko Inubushi, et al.. (2020). A Single Low Dose of Eribulin Regressed a Highly Aggressive Triple-negative Breast Cancer in a Patient-derived Orthotopic Xenograft Model. Anticancer Research. 40(5). 2481–2485. 5 indexed citations
11.
Ryu, Jai Min, Sung Mi Jung, Hee Jun Choi, et al.. (2020). Breast radiologic complete response is associated with favorable survival outcomes after neoadjuvant chemotherapy in breast cancer. European Journal of Surgical Oncology. 47(2). 232–239. 8 indexed citations
12.
Ryu, Jai Min, Hee Jun Choi, Seok Jin Nam, et al.. (2019). Oncologic Outcomes of Nipple-Sparing Mastectomy with Immediate Breast Reconstruction in Patients with Tumor-Nipple Distance Less than 2.0 cm. Journal of Breast Cancer. 22(4). 613–613. 19 indexed citations
13.
Kim, Isaac, Sung Wook Seo, Jeong Eon Lee, et al.. (2019). Deep Survival Model Identifies Prognostic Subgroups of Triple-Negative Breast Cancer Patients. 4(1). 1 indexed citations
14.
Choi, Hee Jun, Jai Min Ryu, Isaac Kim, et al.. (2019). Prediction of axillary pathologic response with breast pathologic complete response after neoadjuvant chemotherapy. Breast Cancer Research and Treatment. 176(3). 591–596. 27 indexed citations
15.
Han, Wonshik, Kyu Eun Lee, So‐Youn Jung, et al.. (2019). Retrospectively validating the results of the ACOSOG Z0011 trial in a large Asian Z0011-eligible cohort. Breast Cancer Research and Treatment. 175(1). 203–215. 16 indexed citations
16.
Ryu, Jai Min, Hee Jun Choi, Isaac Kim, et al.. (2018). Prevalence and oncologic outcomes of BRCA 1/2 mutations in unselected triple-negative breast cancer patients in Korea. Breast Cancer Research and Treatment. 173(2). 385–395. 17 indexed citations
17.
Ryu, Jai Min, Hee Jun Choi, Isaac Kim, et al.. (2018). Only estrogen receptor “positive” is not enough to predict the prognosis of breast cancer. Breast Cancer Research and Treatment. 172(3). 627–636. 9 indexed citations
18.
Paik, E Sun, et al.. (2017). Clinical Outcomes of Patients with Clear Cell and Endometrioid Ovarian Cancer Arising in Endometriosis. Journal of Minimally Invasive Gynecology. 24(7). S109–S109. 1 indexed citations
19.
Choi, Hee Jun, Sung Yun Jung, Judith Hyle, et al.. (2012). CHK2 kinase promotes pre-mRNA splicing via phosphorylating CDK11p110. Oncogene. 33(1). 108–115. 28 indexed citations
20.
Kim, Jun Young, Hee Jun Choi, Chang Soo Kang, & Seong Hun Kim. (2009). Influence of modified carbon nanotube on physical properties and crystallization behavior of poly(ethylene terephthalate) nanocomposite. Polymer Composites. 31(5). 858–869. 25 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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