Dong‐Jun Lim

2.2k total citations
107 papers, 1.5k citations indexed

About

Dong‐Jun Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Dong‐Jun Lim has authored 107 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Endocrinology, Diabetes and Metabolism, 26 papers in Surgery and 13 papers in Oncology. Recurrent topics in Dong‐Jun Lim's work include Thyroid Cancer Diagnosis and Treatment (61 papers), Thyroid Disorders and Treatments (18 papers) and Head and Neck Anomalies (9 papers). Dong‐Jun Lim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (61 papers), Thyroid Disorders and Treatments (18 papers) and Head and Neck Anomalies (9 papers). Dong‐Jun Lim collaborates with scholars based in South Korea, United States and Japan. Dong‐Jun Lim's co-authors include Min‐Hee Kim, Jeonghoon Ha, Ja Seong Bae, Moo-Il Kang, Kun‐Ho Yoon, Hyuk‐Sang Kwon, Kwanhoon Jo, Chan Kwon Jung, Jae‐Hyoung Cho and Bong‐Yun Cha and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Dong‐Jun Lim

92 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Jun Lim South Korea 20 874 374 222 202 163 107 1.5k
Mijin Kim South Korea 27 1.5k 1.7× 721 1.9× 324 1.5× 308 1.5× 220 1.3× 123 2.2k
Christopher S. Graffeo United States 24 335 0.4× 749 2.0× 219 1.0× 209 1.0× 131 0.8× 271 2.7k
Leandro Luongo Matos Brazil 23 231 0.3× 570 1.5× 474 2.1× 511 2.5× 130 0.8× 157 1.9k
Hanzhong Li China 22 335 0.4× 626 1.7× 545 2.5× 354 1.8× 84 0.5× 202 2.1k
Sylvia Stracke Germany 21 132 0.2× 323 0.9× 284 1.3× 128 0.6× 42 0.3× 89 1.3k
Michael Hier Canada 26 133 0.2× 356 1.0× 404 1.8× 778 3.9× 84 0.5× 89 1.9k
Amelia Evoli Italy 37 335 0.4× 573 1.5× 259 1.2× 191 0.9× 104 0.6× 99 5.0k
Jenise C. Wong United States 18 893 1.0× 498 1.3× 377 1.7× 53 0.3× 58 0.4× 46 1.5k
Satoshi Kitahara Japan 21 188 0.2× 408 1.1× 338 1.5× 194 1.0× 93 0.6× 162 1.5k
Ian Scott United Kingdom 20 178 0.2× 310 0.8× 507 2.3× 406 2.0× 64 0.4× 56 1.6k

Countries citing papers authored by Dong‐Jun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Jun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Jun Lim. 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‐Jun Lim. The network helps show where Dong‐Jun Lim may publish in the future.

Co-authorship network of co-authors of Dong‐Jun Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Jun Lim. A scholar is included among the top collaborators of Dong‐Jun Lim 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‐Jun Lim. Dong‐Jun Lim 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.
Han, Kyungdo, Eun Young Lee, Seung-Hwan Lee, et al.. (2025). Association between the Triglyceride-Glucose Index and Cardiovascular Risk and Mortality across Different Diabetes Durations: A Nationwide Cohort Study. Endocrinology and Metabolism. 40(4). 548–560. 1 indexed citations
2.
Lee, Jeongmin, Young Shin Shin, Jennifer Kwak, et al.. (2025). Validation of Diagnostic Utility of Washout CYFRA 21-1 in Lymph Node Metastasis of Thyroid Cancer. Clinical Cancer Research. 31(10). 1922–1930.
3.
4.
Kim, Mijin, Meihua Jin, Hee Kyung Kim, et al.. (2024). Prognostic Roles of Inflammatory Biomarkers in Radioiodine-Refractory Thyroid Cancer Treated with Lenvatinib. Endocrinology and Metabolism. 39(2). 334–343. 1 indexed citations
5.
Lee, Jaewoong, Jaeeun Yoo, Eun Sook Kim, et al.. (2024). Germline Mutations and Phenotypic Associations in Korean Patients With Pheochromocytoma and Paraganglioma: A Multicenter Study and Literature Review. Annals of Laboratory Medicine. 44(6). 591–597.
6.
Lee, Jeongmin, Han-Sang Baek, Kwanhoon Jo, et al.. (2024). The Impact of Physical Activity on Thyroid Health: Insights From Representative Data in Korea. The Journal of Clinical Endocrinology & Metabolism. 110(3). e717–e727. 2 indexed citations
7.
Jin, Meihua, Mijin Kim, Min Ji Jeon, et al.. (2023). Inflammatory biomarkers predict outcomes of patients with radioactive iodine refractory thyroid cancer treated with sorafenib. Endocrine. 81(2). 298–305. 3 indexed citations
8.
Baek, Han-Sang, Bongseong Kim, Seung‐Hwan Lee, et al.. (2023). Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study. Endocrinology and Metabolism. 38(6). 770–781. 3 indexed citations
9.
Ha, Jeonghoon, Kyoung Min Kim, Dong‐Jun Lim, Kee‐Ho Song, & Gi Hyeon Seo. (2023). Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study. Journal of Clinical Medicine. 12(14). 4799–4799.
10.
11.
Kim, Kwangsoon, Chan Kwon Jung, Dong‐Jun Lim, Ja Seong Bae, & Jeong Soo Kim. (2022). Comparison of the clinicopathological features and oncologic outcomes of the classic papillary thyroid carcinoma with tall cell features and tall cell variant. Gland Surgery. 11(1). 56–66. 4 indexed citations
12.
Kim, Jeesu, Byullee Park, Jeonghoon Ha, et al.. (2021). Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo. Cancer Research. 81(18). 4849–4860. 96 indexed citations
13.
Han, Jeong‐Sun, Sung Eun Kim, Yoon Suk Lee, et al.. (2021). Tear-Derived Exosome Proteins Are Increased in Patients with Thyroid Eye Disease. International Journal of Molecular Sciences. 22(3). 1115–1115. 43 indexed citations
14.
Jin, Meihua, Hye In Kim, Jeonghoon Ha, et al.. (2021). Tumor Volume Doubling Time in Active Surveillance of Papillary Thyroid Microcarcinoma: A Multicenter Cohort Study in Korea. Thyroid. 31(10). 1494–1501. 20 indexed citations
15.
Lee, Jeongmin, Hye Lim Park, Jeonghoon Ha, et al.. (2019). CYFRA 21-1 in Lymph Node Fine Needle Aspiration Washout Improves Diagnostic Accuracy for Metastatic Lymph Nodes of Differentiated Thyroid Cancer. Cancers. 11(4). 487–487. 16 indexed citations
16.
Oh, Hye‐Seon, Jeonghoon Ha, Hye In Kim, et al.. (2018). Active Surveillance of Low-Risk Papillary Thyroid Microcarcinoma: A Multi-Center Cohort Study in Korea. Thyroid. 28(12). 1587–1594. 136 indexed citations
17.
Kim, Min‐Hee, et al.. (2017). Does the Risk of Metabolic Syndrome Increase in Thyroid Cancer Survivors?. Thyroid. 27(7). 936–943. 7 indexed citations
18.
Park, Hyung Seok, Chan Kwon Jung, Seung‐Hwan Lee, et al.. (2014). Clinicopathologic Characteristics and Surgical Outcomes of Elderly Patients with Thyroid Cancer. Japanese Journal of Clinical Oncology. 44(11). 1045–1051. 12 indexed citations
19.
Chan, Christine M., Jing Xia, Laura A. Pike, et al.. (2012). Targeted Inhibition of Src Kinase with Dasatinib Blocks Thyroid Cancer Growth and Metastasis. Clinical Cancer Research. 18(13). 3580–3591. 91 indexed citations
20.
Lim, Dong‐Jun, et al.. (2009). A non-functioning pituitary macroadenoma detected incidentally with PET-CT. The Korean Journal of Internal Medicine. 76(3). 374–379.

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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