Dong Gyu Na

12.1k total citations · 2 hit papers
182 papers, 6.6k citations indexed

About

Dong Gyu Na is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dong Gyu Na has authored 182 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Endocrinology, Diabetes and Metabolism, 83 papers in Surgery and 58 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dong Gyu Na's work include Thyroid Cancer Diagnosis and Treatment (110 papers), Head and Neck Anomalies (59 papers) and Thyroid and Parathyroid Surgery (39 papers). Dong Gyu Na is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (110 papers), Head and Neck Anomalies (59 papers) and Thyroid and Parathyroid Surgery (39 papers). Dong Gyu Na collaborates with scholars based in South Korea, United States and Ethiopia. Dong Gyu Na's co-authors include Jung Hwan Baek, Ji‐hoon Kim, Jeong Hyun Lee, Jin Yong Sung, So Lyung Jung, Won‐Jin Moon, Young Hen Lee, Jeong Seon Park, Eunhee Kim and Eun Ju Ha and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Dong Gyu Na

163 papers receiving 6.5k citations

Hit Papers

Benign and Malignant Thyroid Nodules: US Differentiation—... 2008 2026 2014 2020 2008 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Gyu Na South Korea 44 4.7k 3.8k 1.5k 984 566 182 6.6k
So Lyung Jung South Korea 34 3.2k 0.7× 2.5k 0.7× 962 0.6× 510 0.5× 330 0.6× 143 4.4k
Gabriel Zada United States 44 2.8k 0.6× 3.0k 0.8× 390 0.3× 2.2k 2.3× 1.3k 2.2× 315 6.5k
Young Jun Choi South Korea 43 2.6k 0.5× 2.6k 0.7× 1.6k 1.1× 459 0.5× 182 0.3× 186 4.9k
Laurie A. Loevner United States 37 981 0.2× 1.7k 0.4× 1.6k 1.0× 655 0.7× 601 1.1× 161 5.2k
Chong Hyun Suh South Korea 41 1.1k 0.2× 1.5k 0.4× 2.1k 1.4× 717 0.7× 382 0.7× 227 5.7k
Engelbert Knosp Austria 43 2.6k 0.6× 2.0k 0.5× 523 0.3× 2.5k 2.5× 1.9k 3.3× 173 6.2k
William F. Chandler United States 35 1.7k 0.4× 1.4k 0.4× 254 0.2× 798 0.8× 743 1.3× 135 4.2k
James J. Evans United States 31 858 0.2× 1.3k 0.3× 307 0.2× 1.3k 1.3× 896 1.6× 182 3.6k
Marguerite T. Parisi United States 27 780 0.2× 1.1k 0.3× 671 0.4× 371 0.4× 1.1k 1.9× 126 3.4k
Paolo Cappabianca Italy 61 8.6k 1.8× 8.3k 2.2× 229 0.2× 6.0k 6.1× 1.8k 3.1× 310 12.8k

Countries citing papers authored by Dong Gyu Na

Since Specialization
Citations

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

Fields of papers citing papers by Dong Gyu Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Gyu Na

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Gyu Na. A scholar is included among the top collaborators of Dong Gyu Na 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 Dong Gyu Na. Dong Gyu Na 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
3.
Lee, Ji Ye, Min Kyoung Lee, Hyun Kyung Lim, et al.. (2024). Standardized Ultrasound Evaluation for Active Surveillance of Low-Risk Thyroid Microcarcinoma in Adults: 2024 Korean Society of Thyroid Radiology Consensus Statement. PubMed. 85(6). 1060–1060. 1 indexed citations
4.
Ahn, Hye Shin, Dong Gyu Na, & Ji‐hoon Kim. (2024). Risk Stratification of Thyroid Nodules Diagnosed as Bethesda Category III by Ultrasound, Size, and Cytology. Korean Journal of Radiology. 25(10). 924–924.
5.
6.
Durante, Cosimo, László Hegedüs, Dong Gyu Na, et al.. (2023). International Expert Consensus on US Lexicon for Thyroid Nodules. Radiology. 309(1). e231481–e231481. 34 indexed citations
7.
Lee, Min Kyoung, Dong Gyu Na, Ji Ye Lee, et al.. (2023). Standardized Imaging and Reporting for Thyroid Ultrasound: Korean Society of Thyroid Radiology Consensus Statement and Recommendation. Korean Journal of Radiology. 24(1). 22–22. 15 indexed citations
8.
Lee, Ji Ye, Chang Yoon Lee, Inpyeong Hwang, et al.. (2022). Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study. Scientific Reports. 12(1). 16587–16587. 4 indexed citations
9.
Lee, Yoo Jin, Jee Young Kim, Dong Gyu Na, et al.. (2022). Malignancy risk of thyroid nodules with minimal cystic changes: a multicenter retrospective study. ULTRASONOGRAPHY. 41(4). 670–677. 8 indexed citations
11.
Kim, Ji‐hoon, et al.. (2018). Ultrasonographic Echogenicity and Histopathologic Correlation of Thyroid Nodules in Core Needle Biopsy Specimens. Korean Journal of Radiology. 19(4). 673–673. 15 indexed citations
12.
Lee, Young Hen, Ji‐hoon Kim, Ji‐hoon Kim, et al.. (2018). Value of CT added to ultrasonography for the diagnosis of lymph node metastasis in patients with thyroid cancer. Head & Neck. 40(10). 2137–2148. 56 indexed citations
13.
Hong, Min Ji, Dong Gyu Na, Jung Hwan Baek, Jin Yong Sung, & Ji‐hoon Kim. (2017). Cytology-Ultrasonography Risk-Stratification Scoring System Based on Fine-Needle Aspiration Cytology and the Korean-Thyroid Imaging Reporting and Data System. Thyroid. 27(7). 953–959. 45 indexed citations
14.
Ha, Eun Ju, Won‐Jin Moon, Dong Gyu Na, et al.. (2016). A Multicenter Prospective Validation Study for the Korean Thyroid Imaging Reporting and Data System in Patients with Thyroid Nodules. Korean Journal of Radiology. 17(5). 811–811. 67 indexed citations
15.
Yi, Kyung Sik, Ji‐hoon Kim, Dong Gyu Na, et al.. (2015). Usefulness of Core Needle Biopsy for Thyroid Nodules with Macrocalcifications: Comparison with Fine-Needle Aspiration. Thyroid. 25(6). 657–664. 34 indexed citations
16.
Yi, Ka Hee, Soo Young Kim, Do‐Hoon Kim, et al.. (2015). The Korean guideline for thyroid cancer screening. Journal of Korean Medical Association. 58(4). 302–302. 25 indexed citations
17.
Baek, Jung Hwan, Dong Gyu Na, Jeong Hyun Lee, et al.. (2013). Core Needle Biopsy of Thyroid Nodules: Consensus Statement and Recommendations. ULTRASONOGRAPHY. 32(2). 95–102. 7 indexed citations
18.
Kwon, Bae Ju, et al.. (2005). MR imaging findings of uveal leiomyoma: three cases.. American Journal of Neuroradiology. 26(1). 100–103. 9 indexed citations
19.
Lee, Soo Joo, Kwang Ho Lee, Dong Gyu Na, et al.. (2004). Multiphasic Helical Computed Tomography Predicts Subsequent Development of Severe Brain Edema in Acute Ischemic Stroke. Archives of Neurology. 61(4). 505–505. 24 indexed citations
20.
Yoon, Dae Young, Seung Hyup Kim, Hong Dae Kim, et al.. (1995). Doppler Sonography in Experimentally Induced Acute Renal Failure in Rabbits. Investigative Radiology. 30(3). 168–172. 24 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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