Na Lae Eun

506 total citations
33 papers, 345 citations indexed

About

Na Lae Eun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Na Lae Eun has authored 33 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pathology and Forensic Medicine and 11 papers in Cancer Research. Recurrent topics in Na Lae Eun's work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Na Lae Eun is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Na Lae Eun collaborates with scholars based in South Korea, Germany and Ethiopia. Na Lae Eun's co-authors include Eun Ju Son, Jeong‐Ah Kim, Ji Hyun Youk, Hye Mi Gweon, Daesung Kang, Jeong Seon Park, Seo Yeon Yoon, Hyun Im Moon, Yong Wook Kim and Sang Chul Lee and has published in prestigious journals such as Scientific Reports, Radiology and European Journal of Cancer.

In The Last Decade

Na Lae Eun

28 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Lae Eun South Korea	10	188	108	90	81	51	33	345
Jingliang Ruan China	10	121 0.6×	68 0.6×	29 0.3×	38 0.5×	21 0.4×	15	307
Ali Morshid United States	8	139 0.7×	86 0.8×	37 0.4×	69 0.9×	25 0.5×	15	398
Katarzyna Roszkowska‐Purska Poland	9	75 0.4×	47 0.4×	28 0.3×	67 0.8×	27 0.5×	34	261
Inyoung Youn South Korea	9	111 0.6×	55 0.5×	79 0.9×	87 1.1×	45 0.9×	28	259
Niamh Hambly Ireland	6	150 0.8×	54 0.5×	81 0.9×	46 0.6×	93 1.8×	10	318
Jieun Koh South Korea	13	189 1.0×	89 0.8×	47 0.5×	64 0.8×	70 1.4×	25	394
Chunxiao Cui China	12	157 0.8×	104 1.0×	51 0.6×	74 0.9×	46 0.9×	35	363
Merih Güray Durak Türkiye	8	53 0.3×	63 0.6×	140 1.6×	107 1.3×	28 0.5×	40	265
Rohaizak Muhammad Malaysia	11	57 0.3×	42 0.4×	39 0.4×	92 1.1×	15 0.3×	36	382
Chiara Iacconi Italy	12	437 2.3×	43 0.4×	129 1.4×	65 0.8×	63 1.2×	22	548

Countries citing papers authored by Na Lae Eun

Since Specialization

Citations

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

Fields of papers citing papers by Na Lae Eun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na Lae Eun. 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 Na Lae Eun. The network helps show where Na Lae Eun may publish in the future.

Co-authorship network of co-authors of Na Lae Eun

This figure shows the co-authorship network connecting the top 25 collaborators of Na Lae Eun. A scholar is included among the top collaborators of Na Lae Eun 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 Na Lae Eun. Na Lae Eun 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

Eun, Na Lae, et al.. (2026). Commercially Available Artificial Intelligence Score on Preoperative Mammography for Prediction of Future Breast Cancer After DCIS Treatment. American Journal of Roentgenology.

Eun, Na Lae, Eun Ju Son, Jeong‐Ah Kim, et al.. (2025). Ultrasound Findings Suggestive of Malignancy in Thyroid Nodules Classified as Follicular Lesion of Undetermined Significance or Follicular Neoplasm based on the 2017 Bethesda System for Reporting Thyroid Cytopathology. PubMed. 86(1). 114–114.

Eun, Na Lae, Sung Gwe Ahn, Jee Hung Kim, et al.. (2024). Elasticity Values as a Predictive Modality for Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 16(2). 377–377. 2 indexed citations

Eun, Na Lae, Soong June Bae, Ji Hyun Youk, et al.. (2024). Tumor-Infiltrating Lymphocyte Level Consistently Correlates with Lower Stiffness Measured by Shear-Wave Elastography: Subtype-Specific Analysis of Its Implication in Breast Cancer. Cancers. 16(7). 1254–1254.

Eun, Na Lae, Jeong‐Ah Kim, Ji Hyun Youk, et al.. (2024). Preoperative Ultrasonography Predicts Level II Lymph Node Metastasis in N1b Papillary Thyroid Carcinoma: Implications for Surgical Planning. Biomedicines. 12(7). 1588–1588. 2 indexed citations

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

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

Youk, Ji Hyun, Eun Ju Son, Joon Jeong, et al.. (2022). Shear-wave elastography-based nomograms predicting 21-gene recurrence score for adjuvant chemotherapy decisions in patients with breast cancer. European Journal of Radiology. 158. 110638–110638. 2 indexed citations

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

10.

Eun, Na Lae, Jeong‐Ah Kim, Hye Mi Gweon, Ji Hyun Youk, & Eun Ju Son. (2021). Preoperative Nodal US Features for Predicting Recurrence in N1b Papillary Thyroid Carcinoma. Cancers. 14(1). 174–174. 5 indexed citations

11.

Gweon, Hye Mi, Na Lae Eun, Ji Hyun Youk, et al.. (2021). Added value of abbreviated breast magnetic resonance imaging for assessing suspicious microcalcification on screening mammography—a prospective study. European Radiology. 32(2). 815–821. 8 indexed citations

12.

Eun, Na Lae, Daesung Kang, Eun Ju Son, et al.. (2021). Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy. European Radiology. 31(9). 6916–6928. 15 indexed citations

13.

Youk, Ji Hyun, Hye Mi Gweon, Eun Ju Son, Na Lae Eun, & Jeong‐Ah Kim. (2020). Fully automated measurements of volumetric breast density adapted for BIRADS 5th edition: a comparison with visual assessment. Acta Radiologica. 62(9). 1148–1154. 2 indexed citations

14.

Youk, Ji Hyun, Hye Mi Gweon, Eun Ju Son, et al.. (2019). Scoring System to Stratify Malignancy Risks for Mammographic Microcalcifications Based on Breast Imaging Reporting and Data System 5th Edition Descriptors. Korean Journal of Radiology. 20(12). 1646–1646. 6 indexed citations

15.

Eun, Na Lae, Eun Ju Son, Hye Mi Gweon, Jeong‐Ah Kim, & Ji Hyun Youk. (2019). Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients. European Radiology. 30(3). 1460–1469. 29 indexed citations

16.

Eun, Na Lae, et al.. (2018). Comparison of the diagnostic performances of ultrasonography, CT and fine needle aspiration cytology for the prediction of lymph node metastasis in patients with lymph node dissection of papillary thyroid carcinoma: A retrospective cohort study. International Journal of Surgery. 51. 145–150. 31 indexed citations

17.

Eun, Na Lae, Eun Ju Son, Hye Mi Gweon, Ji Hyun Youk, & Jeong‐Ah Kim. (2018). The value of breast MRI for BI-RADS category 4B mammographic microcalcification: based on the 5th edition of BI-RADS. Clinical Radiology. 73(8). 750–755. 13 indexed citations

18.

Yoon, Seo Yeon, et al.. (2017). The cutoff value of ossification of posterior longitudinal ligament (OPLL) for early diagnosis of myelopathy using somatosensory evoked potential in cervical OPLL patients. Spinal Cord. 55(6). 606–611. 3 indexed citations

19.

Eun, Na Lae, Hye Mi Gweon, Ah Young Park, et al.. (2016). Thyroid nodules with nondiagnostic results on repeat fine-needle aspiration biopsy: which nodules should be considered for repeat biopsy or surgery rather than follow-up?. ULTRASONOGRAPHY. 35(3). 234–243. 15 indexed citations

20.

Eun, Na Lae, et al.. (2016). Optimized Performance of FlightPlan during Chemoembolization for Hepatocellular Carcinoma: Importance of the Proportion of Segmented Tumor Area. Korean Journal of Radiology. 17(5). 771–771. 9 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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