Jun Won Min

1.1k total citations
40 papers, 331 citations indexed

About

Jun Won Min is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Won Min has authored 40 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 14 papers in Cancer Research and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Won Min's work include Breast Cancer Treatment Studies (9 papers), Cancer Risks and Factors (8 papers) and Breast Lesions and Carcinomas (6 papers). Jun Won Min is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Cancer Risks and Factors (8 papers) and Breast Lesions and Carcinomas (6 papers). Jun Won Min collaborates with scholars based in South Korea, United States and Ethiopia. Jun Won Min's co-authors include Seung Hoon Woo, Hyeong‐Gon Moon, Na‐Hye Myong, Phil‐Sang Chung, Wonshik Han, Yoo Seok Kim, Jihyoung Cho, Jung Eun Lee, Jong Won Lee and Sung‐Hwan Park and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Jun Won Min

34 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Won Min South Korea 10 155 81 76 54 35 40 331
Atieh Akbari Iran 12 206 1.3× 64 0.8× 41 0.5× 51 0.9× 46 1.3× 47 408
Buket Öztürk Esen Denmark 7 112 0.7× 97 1.2× 57 0.8× 18 0.3× 57 1.6× 13 288
Chen Zhu China 11 114 0.7× 51 0.6× 73 1.0× 29 0.5× 78 2.2× 36 325
Kirsti Vik Hjerkind Norway 11 200 1.3× 106 1.3× 62 0.8× 23 0.4× 33 0.9× 15 346
Mary D. Chamberlin United States 10 260 1.7× 117 1.4× 108 1.4× 26 0.5× 83 2.4× 39 469
Pei‐Fang Su Taiwan 11 126 0.8× 55 0.7× 115 1.5× 87 1.6× 55 1.6× 60 435
Jackie Charman United Kingdom 7 154 1.0× 88 1.1× 112 1.5× 17 0.3× 27 0.8× 16 287
Wenqiang Wei China 6 178 1.1× 64 0.8× 113 1.5× 34 0.6× 88 2.5× 12 405
Annelies H. Boekhout Netherlands 11 303 2.0× 29 0.4× 89 1.2× 64 1.2× 53 1.5× 31 497
Calogero Mazzara Switzerland 5 97 0.6× 53 0.7× 98 1.3× 34 0.6× 62 1.8× 9 248

Countries citing papers authored by Jun Won Min

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Won Min

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Won Min. A scholar is included among the top collaborators of Jun Won Min 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 Jun Won Min. Jun Won Min 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, Hyun Jo Youn, Jihyoung Cho, et al.. (2025). Intakes of saturated and unsaturated fat and circulating levels of inflammatory markers among breast cancer survivors. Scientific Reports. 15(1). 9481–9481. 4 indexed citations
2.
3.
Min, Jun Won, et al.. (2023). Primary Malignant Melanoma of the Breast Presenting as a Breast Abscess: A Case Report. Journal of the Korean Society of Radiology. 84(3). 763–763. 1 indexed citations
4.
Lee, Eun-Shin, Ki‐Tae Hwang, Jun Won Min, et al.. (2023). Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial. Breast Cancer Research. 25(1). 20–20. 3 indexed citations
5.
Bae, Soo Youn, Jihyoun Lee, Ji Sung Lee, et al.. (2022). Prognosis of pregnancy after breast cancer diagnosis according to the type of treatment: A population-based study in Korea by the SMARTSHIP group. The Breast. 63. 46–53. 2 indexed citations
6.
Abueva, Celine, et al.. (2022). Trimethyl chitosan postoperative irrigation solution modulates inflammatory cytokines related to adhesion formation. Carbohydrate Polymers. 288. 119380–119380. 12 indexed citations
7.
Okekunle, Akinkunmi Paul, Sihan Song, Hyun‐Ah Kim, et al.. (2022). Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study. Lipids in Health and Disease. 21(1). 66–66. 5 indexed citations
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.
Abueva, Celine, et al.. (2021). Quaternary ammonium N,N,N-trimethyl chitosan derivative and povidone‑iodine complex as a potent antiseptic with enhanced wound healing property. International Journal of Biological Macromolecules. 182. 1713–1723. 24 indexed citations
10.
Park, Hyung Seok, Jai Min Ryu, Ji Soo Park, et al.. (2020). Clinicopathological Features of Patients with the BRCA1 c.5339T>C (p.Leu1780Pro) Variant. Cancer Research and Treatment. 52(3). 680–688. 7 indexed citations
11.
Yoo, Won Sang, Jun Won Min, Phil‐Sang Chung, & Seung Hoon Woo. (2020). Biochemical and Pain Comparisons Between the Laser Lancing Device and Needle Lancets for Capillary Blood Sampling: A Randomized Control Trial. Lasers in Surgery and Medicine. 53(3). 316–323. 5 indexed citations
12.
Shim, Eun‐Jung, Jong Won Lee, Jihyoung Cho, et al.. (2019). Association of depression and anxiety disorder with the risk of mortality in breast cancer: A National Health Insurance Service study in Korea. Breast Cancer Research and Treatment. 179(2). 491–498. 49 indexed citations
13.
Yang, Hun‐Mu, Kang‐Jae Shin, Jun Won Min, & Seung Hoon Woo. (2019). Anatomical study of gasless transoral thyroidectomy and clinical application. Surgical Endoscopy. 34(8). 3414–3423. 9 indexed citations
14.
Yoo, Tae-Kyung, et al.. (2016). Identifying the potential long-term survivors among breast cancer patients with distant metastasis. Annals of Oncology. 27(5). 828–833. 28 indexed citations
15.
Myong, Na‐Hye & Jun Won Min. (2016). Low-grade myofibroblastic sarcoma arising in fibroadenoma of the breast-A case report–. Diagnostic Pathology. 11(1). 33–33. 14 indexed citations
16.
Park, Boyoung, Hyun‐Ju Seo, Kyoung Lan Ko, et al.. (2015). The Korean guideline for breast cancer screening. Journal of Korean Medical Association. 58(5). 408–408. 43 indexed citations
17.
Yoo, Tae-Kyung, Jun Won Min, Min Kyoon Kim, et al.. (2015). In Vivo Tumor Growth Rate Measured by US in Preoperative Period and Long Term Disease Outcome in Breast Cancer Patients. PLoS ONE. 10(12). e0144144–e0144144. 22 indexed citations
18.
Han, Sang‐Ah, et al.. (2013). Bromocriptine-Treated Giant Lactating Adenoma: A Case Report with Imaging Findings.. ULTRASONOGRAPHY. 32(3). 221–225. 1 indexed citations
19.
Kim, Dong Uk, et al.. (2012). Estimating the Risks and Benefits of Tamoxifen for Prophylactic Breast Cancer Chemoprevention in Korea. Journal of Breast Cancer. 15(1). 51–51. 4 indexed citations
20.
Kim, Hye Young, Wonshik Han, Hyeong‐Gon Moon, et al.. (2011). The value of preoperative staging chest computed tomography to detect asymptomatic lung and liver metastasis in patients with primary breast carcinoma. Breast Cancer Research and Treatment. 126(3). 637–641. 37 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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