Kwangil Yim

620 total citations
43 papers, 393 citations indexed

About

Kwangil Yim is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Kwangil Yim has authored 43 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Kwangil Yim's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers) and Colorectal Cancer Screening and Detection (5 papers). Kwangil Yim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (9 papers) and Colorectal Cancer Screening and Detection (5 papers). Kwangil Yim collaborates with scholars based in South Korea, United States and United Kingdom. Kwangil Yim's co-authors include Yosep Chong, Jamshid Abdul‐Ghafar, Nishant Thakur, Eun Young Kim, Sung Hak Lee, Chan Kwon Jung, In Kyu Lee, Kyung Jin Seo, Ahwon Lee and Rizwan Alam and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Kwangil Yim

35 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kwangil Yim South Korea	13	160	124	109	89	64	43	393
Chuan Peng China	15	123 0.8×	170 1.4×	101 0.9×	60 0.7×	42 0.7×	30	494
Jiamei Chen China	13	107 0.7×	66 0.5×	88 0.8×	83 0.9×	61 1.0×	25	350
Colton Ladbury United States	11	164 1.0×	177 1.4×	185 1.7×	62 0.7×	54 0.8×	67	461
Saba Shafi United States	10	135 0.8×	126 1.0×	50 0.5×	123 1.4×	26 0.4×	42	387
Yanjun Hou United States	12	269 1.7×	135 1.1×	67 0.6×	57 0.6×	64 1.0×	29	442
Peter Ntiamoah United States	11	199 1.2×	109 0.9×	60 0.6×	122 1.4×	46 0.7×	27	418
Philipp Stenzel Germany	8	122 0.8×	117 0.9×	119 1.1×	92 1.0×	73 1.1×	16	362
Haohua Teng China	13	92 0.6×	75 0.6×	172 1.6×	37 0.4×	59 0.9×	28	301
Zhe Jin China	14	185 1.2×	283 2.3×	161 1.5×	37 0.4×	88 1.4×	37	525
Bum‐Sup Jang South Korea	14	221 1.4×	261 2.1×	147 1.3×	81 0.9×	52 0.8×	67	663

Countries citing papers authored by Kwangil Yim

Since Specialization

Citations

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

Fields of papers citing papers by Kwangil Yim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangil Yim

This figure shows the co-authorship network connecting the top 25 collaborators of Kwangil Yim. A scholar is included among the top collaborators of Kwangil Yim 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 Kwangil Yim. Kwangil Yim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Young Sub, et al.. (2025). Dynamics of Serum Inflammatory Markers Predict Survival After Definitive Chemoradiotherapy for Locally Advanced Cervical Cancer. Asia-Pacific Journal of Clinical Oncology. 22(1). 140–148.

Lee, Jongwon, Minsoo Jung, Kwangil Yim, et al.. (2025). Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning. Lung Cancer. 204. 108552–108552.

Chong, Yosep, et al.. (2025). 320 Versatile AI for liquid-based cytology applicable to all sample types, file extension, stain and preparation methods: A nationwide-dataset-validated ensemble model using convolutional neural network and multiple instance learning. Laboratory Investigation. 105(3). 102547–102547.

Choi, Seung‐Ho, Jamshid Abdul‐Ghafar, Kyung Jin Seo, et al.. (2025). Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set. American Journal Of Pathology. 195(7). 1254–1263. 1 indexed citations

Kim, Hyung Kyung, Kwangil Yim, Jamshid Abdul‐Ghafar, et al.. (2024). Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid. Cancers. 16(5). 1064–1064. 10 indexed citations

Lee, Yujin, Rizwan Alam, Kwangil Yim, et al.. (2024). Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology. Thyroid. 34(6). 723–734. 11 indexed citations

Yim, Kwangil, et al.. (2024). Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study. Journal of Medical Internet Research. 26. e63476–e63476.

Alam, Rizwan, et al.. (2024). Comparative analysis of Ki-67 labeling index morphometry using deep learning, conventional image analysis, and manual counting. Translational Oncology. 51. 102159–102159. 2 indexed citations

Chong, Yosep, Kwangil Yim, Kyung Jin Seo, et al.. (2023). Whole Slide Level AI Classification for Bladder Cancer in Urine Cytology with Largest Dataset Yields High Accuracy Results. Journal of the American Society of Cytopathology. 12(5). S2–S3.

10.

Lee, Jiwon, Jin Hwi Kim, Su Lim Lee, et al.. (2023). Uterine Cervical Angioleiomyoma Mimicking Squamous Cell Carcinoma. Diagnostics. 13(14). 2370–2370. 1 indexed citations

11.

Alam, Rizwan, Kyung Jin Seo, Jamshid Abdul‐Ghafar, et al.. (2023). Recent application of artificial intelligence on histopathologic image-based prediction of gene mutation in solid cancers. Briefings in Bioinformatics. 24(3). 12 indexed citations

12.

Chong, Yosep, Yujin Lee, Kwangil Yim, et al.. (2023). Deep Learning-Based Computational Cytopathologic Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid. Cells. 12(14). 1847–1847. 17 indexed citations

13.

Thakur, Nishant, et al.. (2022). Tumor Budding as a Marker for Poor Prognosis and Epithelial–Mesenchymal Transition in Lung Cancer: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 12. 828999–828999. 10 indexed citations

14.

Won, Hye Sung, Ji Hyun Yang, Der Sheng Sun, et al.. (2022). Prognostic value of Dickkopf-1 and ß-catenin expression according to the antitumor immunity of CD8-positive tumor-infiltrating lymphocytes in biliary tract cancer. Scientific Reports. 12(1). 1931–1931. 4 indexed citations

15.

Kim, Hyunho, Myung Ah Lee, Ji Youl Lee, et al.. (2021). Prognostic Impact of APOBEC3B Expression in Metastatic Urothelial Carcinoma and Its Association with Tumor-Infiltrating Cytotoxic T Cells. Current Oncology. 28(3). 1652–1662. 7 indexed citations

16.

Chun, Sang Hoon, Eun Young Kim, Hye Sung Won, et al.. (2021). Prognostic value of noggin protein expression in patients with resected gastric cancer. BMC Cancer. 21(1). 558–558. 7 indexed citations

17.

Yim, Kwangil, et al.. (2020). Novel Pathologic Factors for Risk Stratification of Gastric “Indefinite for Dysplasia” Lesions. Gastroenterology Research and Practice. 2020. 1–11.

18.

Yim, Kwangil, et al.. (2019). Image Analysis of HER2 Immunohistochemical Staining of Surgical Breast Cancer Specimens. Yonsei Medical Journal. 60(2). 158–158. 5 indexed citations

19.

Yim, Kwangil, et al.. (2018). Pediatric follicular lymphoma of the parotid gland. Archives of Craniofacial Surgery. 19(4). 279–282. 4 indexed citations

20.

Yim, Kwangil, et al.. (2017). Breast cancer metastasizing to the stomach mimicking primary gastric cancer: A case report. World Journal of Gastroenterology. 23(12). 2251–2251. 13 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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