Heung Kyu Park

846 total citations
38 papers, 600 citations indexed

About

Heung Kyu Park is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Heung Kyu Park has authored 38 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cancer Research, 20 papers in Oncology and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Heung Kyu Park's work include Breast Cancer Treatment Studies (25 papers), Breast Lesions and Carcinomas (13 papers) and HER2/EGFR in Cancer Research (9 papers). Heung Kyu Park is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), Breast Lesions and Carcinomas (13 papers) and HER2/EGFR in Cancer Research (9 papers). Heung Kyu Park collaborates with scholars based in South Korea, United Kingdom and United States. Heung Kyu Park's co-authors include Yong Soon Chun, Tae Hoon Lee, Kyung Hee Lee, Jeong-Yoon Song, Jeeyeon Lee, Hong‐Kyu Kim, Yong‐Seok Kim, Yongseon Kim, Hyun‐Ah Kim and Hye Sung Won and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Heung Kyu Park

36 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heung Kyu Park South Korea 12 337 331 135 116 103 38 600
Liulu Zhang China 13 250 0.7× 195 0.6× 128 0.9× 159 1.4× 87 0.8× 51 545
Maria Carmen De Santis Italy 14 285 0.8× 212 0.6× 97 0.7× 129 1.1× 132 1.3× 63 521
Xiao-Ming Xie China 14 260 0.8× 386 1.2× 114 0.8× 65 0.6× 95 0.9× 22 629
Ciqiu Yang China 14 298 0.9× 238 0.7× 141 1.0× 222 1.9× 121 1.2× 58 663
Bianca Lederer Germany 13 348 1.0× 415 1.3× 147 1.1× 64 0.6× 119 1.2× 39 646
Sepideh Saadatmand Netherlands 10 279 0.8× 322 1.0× 170 1.3× 156 1.3× 107 1.0× 14 648
Loes Kooreman Netherlands 15 202 0.6× 135 0.4× 140 1.0× 158 1.4× 92 0.9× 52 558
Jennifer Chun United States 14 286 0.8× 311 0.9× 220 1.6× 163 1.4× 207 2.0× 46 719
R S Prichard Ireland 13 308 0.9× 245 0.7× 170 1.3× 54 0.5× 77 0.7× 41 647

Countries citing papers authored by Heung Kyu Park

Since Specialization
Citations

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

Fields of papers citing papers by Heung Kyu Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heung Kyu Park. 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 Heung Kyu Park. The network helps show where Heung Kyu Park may publish in the future.

Co-authorship network of co-authors of Heung Kyu Park

This figure shows the co-authorship network connecting the top 25 collaborators of Heung Kyu Park. A scholar is included among the top collaborators of Heung Kyu Park 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 Heung Kyu Park. Heung Kyu Park 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.
Bae, Soo Youn, Eun‐Kyu Kim, Young‐Jin Lee, et al.. (2023). Predictive biological factors for late survival in patients with HER2-positive breast cancer. Scientific Reports. 13(1). 11008–11008. 9 indexed citations
3.
Won, Hye Sung, Yongseon Kim, Jeong-Yoon Song, et al.. (2022). Clinical significance of HER2-low expression in early breast cancer: a nationwide study from the Korean Breast Cancer Society. Breast Cancer Research. 24(1). 22–22. 116 indexed citations
4.
Kang, Minsun, et al.. (2022). Subsequent pregnancy and long-term safety after breast cancer: a retrospective analysis of Korean health insurance data. Annals of Surgical Treatment and Research. 102(2). 73–73. 5 indexed citations
5.
6.
Woo, Joohyun, Jeong-Yoon Song, Byung Joo Chae, et al.. (2021). Response to neoadjuvant chemotherapy based on pathologic complete response in very young patients with ER-positive breast cancer: a large, multicenter, observational study. BMC Cancer. 21(1). 647–647. 6 indexed citations
7.
Lee, Joon‐Hyop, Yong Soon Chun, Heung Kyu Park, et al.. (2020). Management of 2–4 cm Papillary Thyroid Carcinoma: Risk of Recurrence Compared to 1–2 cm and >4 cm. 20(4). 78–78. 2 indexed citations
8.
Lee, Joon‐Hyop, et al.. (2020). Poorly differentiated thyroid carcinoma: An institutional experience. SHILAP Revista de lepidopterología. 16(1). 25–32. 3 indexed citations
9.
Park, So Hyun, Yu Mi Jeong, Eun Young Kim, et al.. (2020). Opportunistic use of chest CT for screening osteoporosis and predicting the risk of incidental fracture in breast cancer patients: A retrospective longitudinal study. PLoS ONE. 15(10). e0240084–e0240084. 30 indexed citations
10.
Lee, Joon‐Hyop, Yong Soon Chun, Heung Kyu Park, et al.. (2019). Risk Factors for Distant Metastasis in Follicular Thyroid Carcinoma in Korea. 19(1). 1–1. 1 indexed citations
11.
Lee, Jung Sun, Hyun‐Ah Kim, Han‐Byoel Lee, et al.. (2019). Five-Year Overall Survival of Interval Breast Cancers is Better than Non- Interval Cancers from Korean Breast Cancer Registry. Asian Pacific Journal of Cancer Prevention. 20(6). 1717–1726. 2 indexed citations
12.
Yoo, Tae-Kyung, Sei Joong Kim, Sae Byul Lee, et al.. (2019). A N0 Predicting Model for Sentinel Lymph Node Biopsy Omission in Early Breast Cancer Upstaged From Ductal Carcinoma in Situ. Clinical Breast Cancer. 20(3). e281–e289. 8 indexed citations
13.
Chun, Yong Soon, et al.. (2018). Gene expression assay and Watson for Oncology for optimization of treatment in ER-positive, HER2-negative breast cancer. PLoS ONE. 13(7). e0200100–e0200100. 14 indexed citations
14.
Yoo, Tae-Kyung, Byung Joo Chae, Sei Joong Kim, et al.. (2017). Identifying long-term survivors among metastatic breast cancer patients undergoing primary tumor surgery. Breast Cancer Research and Treatment. 165(1). 109–118. 15 indexed citations
15.
Lim, Seung Taek, Jung Eun Choi, Sei Joong Kim, et al.. (2016). Prognostic implication of the tumor location according to molecular subtypes in axillary lymph node-positive invasive ductal cancer in a Korean population. Breast Cancer Research and Treatment. 156(3). 473–483. 11 indexed citations
16.
Lee, Kyung Hee, et al.. (2015). Changing patterns of microcalcification on screening mammography for prediction of breast cancer. Breast Cancer. 23(3). 471–478. 7 indexed citations
17.
Lim, Seung Taek, Jong Han Yu, Heung Kyu Park, et al.. (2014). A comparison of the clinical outcomes of patients with invasive lobular carcinoma and invasive ductal carcinoma of the breast according to molecular subtype in a Korean population. World Journal of Surgical Oncology. 12(1). 56–56. 21 indexed citations
18.
Park, Heung Kyu, et al.. (2014). Is radiotherapy necessary for intermediate risk ductal carcinoma in situ after breast conserving surgery?. SpringerPlus. 3(1). 405–405. 11 indexed citations
19.
Lee, Kyung Hee, et al.. (2014). Ki-67 as a Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancer Patients. Journal of Breast Cancer. 17(1). 40–40. 95 indexed citations
20.
Choi, Jung Eun, et al.. (2013). Impact of local surgical treatment on survival in young women with T1 breast cancer: long-term results of a population-based cohort. Breast Cancer Research and Treatment. 138(2). 475–484. 11 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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