Yoon Jin

4.3k total citations
178 papers, 3.0k citations indexed

About

Yoon Jin is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Yoon Jin has authored 178 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 48 papers in Pulmonary and Respiratory Medicine and 40 papers in Cancer Research. Recurrent topics in Yoon Jin's work include Lung Cancer Treatments and Mutations (25 papers), Cancer Immunotherapy and Biomarkers (23 papers) and Cancer Cells and Metastasis (18 papers). Yoon Jin is often cited by papers focused on Lung Cancer Treatments and Mutations (25 papers), Cancer Immunotherapy and Biomarkers (23 papers) and Cancer Cells and Metastasis (18 papers). Yoon Jin collaborates with scholars based in South Korea, United States and Singapore. Yoon Jin's co-authors include Ja Seung Koo, Hyo Sup Shim, Junjeong Choi, Hye Ryun Kim, Byoung Chul Cho, Inho Jo, Chang Young Lee, Joon Jeong, Sung Gwe Ahn and Yoon Shin Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Yoon Jin

161 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Jin South Korea 29 1.1k 912 898 718 344 178 3.0k
Hao Long China 27 853 0.8× 913 1.0× 1.1k 1.2× 565 0.8× 554 1.6× 177 2.6k
Iacopo Petrini Italy 27 1.0k 0.9× 884 1.0× 723 0.8× 688 1.0× 220 0.6× 91 2.5k
Shiu‐Feng Huang Taiwan 29 1.2k 1.1× 1.4k 1.6× 944 1.1× 596 0.8× 327 1.0× 78 2.9k
Vassiliki Kotoula Greece 27 1.2k 1.1× 1.2k 1.4× 419 0.5× 539 0.8× 219 0.6× 125 2.6k
Florian Grabellus Germany 30 799 0.7× 784 0.9× 731 0.8× 352 0.5× 622 1.8× 103 2.7k
Giuseppe Perrone Italy 27 1.2k 1.0× 866 0.9× 536 0.6× 563 0.8× 531 1.5× 122 2.6k
Yoon‐La Choi South Korea 35 1.6k 1.4× 1.4k 1.6× 930 1.0× 1.1k 1.5× 372 1.1× 125 3.7k
Laura Mercatali Italy 29 1.8k 1.6× 1.7k 1.8× 768 0.9× 1.2k 1.7× 307 0.9× 108 3.7k
Yoshiyuki Abe Japan 29 1.0k 0.9× 1.4k 1.5× 512 0.6× 741 1.0× 251 0.7× 137 2.9k
Gregory M. Coté United States 35 1.3k 1.1× 1.3k 1.4× 1.4k 1.5× 485 0.7× 274 0.8× 151 3.4k

Countries citing papers authored by Yoon Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoon Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Jin. A scholar is included among the top collaborators of Yoon 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 Yoon Jin. Yoon 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.
Lee, Taemin, et al.. (2025). Advances in reactive carbon capture via carbonate/bicarbonate electrolysis for efficient CO 2 utilization. Chemical Communications. 61(92). 18037–18052.
2.
Lee, Yong‐Moon, Taejoon Eo, Hee Jung An, et al.. (2025). Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images. npj Precision Oncology. 9(1). 131–131. 1 indexed citations
3.
Lee, Miseon, Tae-Kyung Yoo, Byung Joo Chae, et al.. (2024). Luminal androgen receptor subtype and tumor-infiltrating lymphocytes groups based on triple-negative breast cancer molecular subclassification. Scientific Reports. 14(1). 11278–11278. 3 indexed citations
4.
Woo, Wongi, Yoon Jin, Chul Hwan Park, Duk Hwan Moon, & Sungsoo Lee. (2023). Predictive scoring of high‐grade histology among early‐stage lung cancer patients: The MOSS score. Thoracic Cancer. 14(19). 1865–1873. 2 indexed citations
5.
Jae, Min, Yoo Jin Hong, Yoon Jin, et al.. (2023). Utilities and Limitations of Cardiac Magnetic Resonance Imaging in Dilated Cardiomyopathy. Korean Journal of Radiology. 24(12). 1200–1200. 3 indexed citations
6.
Ahn, Sung Gwe, Soong June Bae, Jee Hung Kim, et al.. (2023). Comparison of Programmed Cell Death Ligand 1 Status between Core Needle Biopsy and Surgical Specimens of Triple-Negative Breast Cancer. Yonsei Medical Journal. 64(8). 518–518. 3 indexed citations
7.
Bae, Soong June, Sung Gwe Ahn, Na Lae Eun, et al.. (2023). Resolution of Nonmass Enhancement Extension to the Nipple at Breast MRI after Neoadjuvant Chemotherapy: Pathologic Response and Feasibility for Nipple-sparing Mastectomy. Radiology. 307(2). e221777–e221777. 4 indexed citations
8.
Jin, Yoon, Sung Jun Kim, Bum Chun Suh, et al.. (2023). Clinical and Radiological Features of Korean Patients With Anti-HMGCR Myopathy. Journal of Clinical Neurology. 19(5). 460–460. 10 indexed citations
9.
Ahn, Sung Gwe, Soong June Bae, Yoonjung Kim, et al.. (2022). Primary endocrine resistance of ER+ breast cancer with ESR1 mutations interrogated by droplet digital PCR. npj Breast Cancer. 8(1). 58–58. 12 indexed citations
10.
Kim, Jee Hung, et al.. (2022). SP142 PD-L1 Assays in Multiple Samples from the Same Patients with Early or Advanced Triple-Negative Breast Cancer. Cancers. 14(13). 3042–3042. 3 indexed citations
11.
Gyamfi, Jones, Joo Hye Yeo, Byung Soh Min, et al.. (2021). Interaction between CD36 and FABP4 modulates adipocyte-induced fatty acid import and metabolism in breast cancer. npj Breast Cancer. 7(1). 129–129. 99 indexed citations
12.
Bae, Soong June, Yoon Jin, Na Lae Eun, et al.. (2021). Diagnostic Accuracy of Nonmass Enhancement at Breast MRI in Predicting Tumor Involvement of the Nipple: A Prospective Study in a Single Institution. Radiology. 301(1). 47–56. 6 indexed citations
13.
14.
Kim, Taehee, Yoon Jin, Ji Hyun Park, et al.. (2020). Reactive oxygen species modulator 1 expression predicts lymph node metastasis and survival in early-stage non-small cell lung cancer. PLoS ONE. 15(12). e0239670–e0239670. 4 indexed citations
15.
Woo, Ho Geol, Yoonkyung Chang, Yoon Jin, et al.. (2019). Plasma Klotho concentrations predict functional outcome at three months after acute ischemic stroke patients. Annals of Medicine. 51(3-4). 262–269. 16 indexed citations
16.
Choe, Eun‐Ah, Yoon Jin, Jae Hwan Kim, et al.. (2019). Dynamic changes in PD-L1 expression and CD8+ T cell infiltration in non-small cell lung cancer following chemoradiation therapy. Lung Cancer. 136. 30–36. 35 indexed citations
17.
Park, Sang Joon, Yoon Jin, Sang Hyun Suh, et al.. (2019). Risk group-adapted adjuvant radiotherapy for WHO grade I and II skull base meningioma. Journal of Cancer Research and Clinical Oncology. 145(5). 1351–1360. 11 indexed citations
18.
Kim, Hyun Soo, Yoon Jin, Junjeong Choi, et al.. (2018). The Effect of Mental Rotation on Surgical Pathological Diagnosis. Yonsei Medical Journal. 59(3). 445–445. 1 indexed citations
19.
Choi, Junjeong, Yoon Jin, & Ja Seung Koo. (2017). Adipocyte biology in breast cancer: From silent bystander to active facilitator. Progress in Lipid Research. 69. 11–20. 193 indexed citations
20.
Yoon, Somy, So Yeon Park, Jae Hyuk Lee, et al.. (2014). An Unconventional KITENIN/ErbB4-Mediated Downstream Signal of EGF Upregulates c-Jun and the Invasiveness of Colorectal Cancer Cells. Clinical Cancer Research. 20(15). 4115–4128. 28 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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