Min‐Sun Jin

765 total citations
32 papers, 457 citations indexed

About

Min‐Sun Jin is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Min‐Sun Jin has authored 32 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Min‐Sun Jin's work include Cancer Cells and Metastasis (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Molecular Biology Techniques and Applications (4 papers). Min‐Sun Jin is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Molecular Biology Techniques and Applications (4 papers). Min‐Sun Jin collaborates with scholars based in South Korea, United States and Cyprus. Min‐Sun Jin's co-authors include Han Suk Ryu, Yul Ri Chung, Seock‐Ah Im, Hyeong‐Gon Moon, Ahwon Lee, Bong Joo Kang, Sung Hun Kim, Kyung-Hun Lee, Byung Joo Song and Nan Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Min‐Sun Jin

32 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Sun Jin South Korea 13 165 126 119 85 84 32 457
Caroline O. Michie United Kingdom 10 207 1.3× 216 1.7× 121 1.0× 154 1.8× 76 0.9× 20 562
Wei-Dong Wei China 9 134 0.8× 188 1.5× 72 0.6× 121 1.4× 66 0.8× 12 419
Hong Ling China 16 190 1.2× 240 1.9× 66 0.6× 187 2.2× 95 1.1× 33 583
Geunwon Kim United States 13 161 1.0× 135 1.1× 104 0.9× 75 0.9× 19 0.2× 27 486
Sandra Martínez-Morilla United States 13 194 1.2× 299 2.4× 133 1.1× 135 1.6× 26 0.3× 24 541
Eldo T. Verghese United Kingdom 15 322 2.0× 198 1.6× 59 0.5× 258 3.0× 35 0.4× 29 610
Adel Tabchy United States 7 138 0.8× 189 1.5× 123 1.0× 168 2.0× 26 0.3× 14 397
Run-Fen Cheng China 16 425 2.6× 204 1.6× 164 1.4× 168 2.0× 28 0.3× 38 757
Henrica M.J. Werner Norway 13 171 1.0× 114 0.9× 120 1.0× 120 1.4× 142 1.7× 21 680
Monica Jernberg Engstrøm Norway 11 147 0.9× 273 2.2× 58 0.5× 242 2.8× 67 0.8× 21 472

Countries citing papers authored by Min‐Sun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Sun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Sun Jin. 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 Min‐Sun Jin. The network helps show where Min‐Sun Jin may publish in the future.

Co-authorship network of co-authors of Min‐Sun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Sun Jin. A scholar is included among the top collaborators of Min‐Sun Jin 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 Min‐Sun Jin. Min‐Sun Jin 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.
Ryu, Han Suk, Kim Ys, Ji‐Eun Jeong, et al.. (2023). Lateral interactions between CD276 and CD147 are essential for stemness in breast cancer: a novel insight from proximal proteome analysis. Scientific Reports. 13(1). 14242–14242. 3 indexed citations
2.
3.
Hong, Soon Auck, Sung Sun Kim, Min‐Sun Jin, et al.. (2022). Current status of cytopathology practice in Korea: impact of the coronavirus pandemic on cytopathology practice. Journal of Pathology and Translational Medicine. 56(6). 361–369. 6 indexed citations
4.
5.
Chun, Sang Hoon, et al.. (2021). Experience of serious intestinal hemorrhage and perforation in small bowel lymphoma: a case report. SHILAP Revista de lepidopterología. 17(2). 126–130. 1 indexed citations
6.
Hyun, Chang Lim, et al.. (2020). Downregulation of N-myc and STAT Interactor Protein Predicts Aggressive Tumor Behavior and Poor Prognosis in Invasive Ductal Carcinoma. Journal of Breast Cancer. 23(1). 36–36. 1 indexed citations
7.
8.
Lee, Dae‐Won, Han Suk Ryu, Min‐Sun Jin, et al.. (2019). Immune recurrence score using 7 immunoregulatory protein expressions can predict recurrence in stage I–III breast cancer patients. British Journal of Cancer. 121(3). 230–236. 15 indexed citations
9.
Jin, Min‐Sun, et al.. (2018). High Cytoplasmic CXCR4 Expression Predicts Prolonged Survival in Triple-Negative Breast Cancer Patients Treated with Adjuvant Chemotherapy. Journal of Pathology and Translational Medicine. 52(6). 369–377. 15 indexed citations
10.
Kim, Sung Hun, Bong Joo Kang, Byung Joo Song, et al.. (2016). Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis. PLoS ONE. 11(12). e0168632–e0168632. 57 indexed citations
11.
Kim, Sung Hun, et al.. (2016). Histogram analysis of apparent diffusion coefficients after neoadjuvant chemotherapy in breast cancer. Japanese Journal of Radiology. 34(10). 657–666. 12 indexed citations
12.
Jin, Min‐Sun, Hyebin Lee, In Ae Park, et al.. (2016). Overexpression of HIF1α and CAXI predicts poor outcome in early-stage triple negative breast cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(2). 183–190. 37 indexed citations
13.
Jin, Min‐Sun, In Ae Park, Ji Young Kim, et al.. (2016). New insight on the biological role of p53 protein as a tumor suppressor: re-evaluation of its clinical significance in triple-negative breast cancer. Tumor Biology. 37(8). 11017–11024. 20 indexed citations
14.
Jung, Yoon Yang, Chang Lim Hyun, Min‐Sun Jin, et al.. (2016). Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Journal of Breast Cancer. 19(3). 261–261. 21 indexed citations
15.
Jin, Min‐Sun, Chang Lim Hyun, In Ae Park, et al.. (2015). SIRT1 induces tumor invasion by targeting epithelial mesenchymal transition-related pathway and is a prognostic marker in triple negative breast cancer. Tumor Biology. 37(4). 4743–4753. 34 indexed citations
16.
Su, Nan, Qingfang Sun, Chao Li, et al.. (2010). Gain-of-function mutation in FGFR3 in mice leads to decreased bone mass by affecting both osteoblastogenesis and osteoclastogenesis. Human Molecular Genetics. 19(7). 1199–1210. 81 indexed citations
17.
Jin, Min‐Sun, Shin Kwang Khang, Min Suk Kim, et al.. (2010). Lyn Expression in Osteoblastic Osteosarcoma Tissues and Its Correlation with Clinicopathologic Factors. The Korean Journal of Pathology. 44(2). 125–125. 2 indexed citations
18.
Kim, Hyeon Tae, et al.. (2009). A Case of Non-small Cell Lung Cancer Presenting as Abdominal Pain and a Pancreatic Nodule. Tuberculosis & respiratory diseases. 67(1). 42–42. 1 indexed citations
19.
Jin, Min‐Sun, et al.. (2008). Adenomyomatous Hamartoma of Lung Mimicking Benign Mucinous Tumor in Fine Needle Aspiration Biopsy. Acta Cytologica. 52(3). 357–360. 5 indexed citations
20.
Jin, Min‐Sun, et al.. (2007). Fine Needle Aspiration Cytology of Granular Cell Tumor in Breast -A Case Report-. 18(2). 157–160. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Caroline O. Michie Breakdown of academic impact, for papers by Wei-Dong Wei Breakdown of academic impact, for papers by Hong Ling Breakdown of academic impact, for papers by Geunwon Kim Breakdown of academic impact, for papers by Sandra Martínez-Morilla Breakdown of academic impact, for papers by Eldo T. Verghese Breakdown of academic impact, for papers by Adel Tabchy Breakdown of academic impact, for papers by Run-Fen Cheng Breakdown of academic impact, for papers by Henrica M.J. Werner Breakdown of academic impact, for papers by Monica Jernberg Engstrøm
Rankless by CCL
2026