Jinhee Jang

3.4k total citations · 2 hit papers
114 papers, 2.6k citations indexed

About

Jinhee Jang is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinhee Jang has authored 114 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Neurology and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jinhee Jang's work include Advanced MRI Techniques and Applications (25 papers), Cerebrovascular and Carotid Artery Diseases (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Jinhee Jang is often cited by papers focused on Advanced MRI Techniques and Applications (25 papers), Cerebrovascular and Carotid Artery Diseases (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Jinhee Jang collaborates with scholars based in South Korea, United States and Germany. Jinhee Jang's co-authors include Joe A. Vinson, Jin Suk Chung, Kook Jin Ahn, Viet Hung Pham, Bum‐Soo Kim, Seung Hyun Hur, Balasubramaniyan Rajagopalan, Yangsean Choi, Na‐Young Shin and S.K. Dhawan and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jinhee Jang

107 papers receiving 2.4k citations

Hit Papers

Plant Flavonoids, Especially Tea Flavonols, Are Powerful ... 1995 2026 2005 2015 1995 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinhee Jang South Korea 22 561 483 367 361 305 114 2.6k
Jong Hun Lee South Korea 34 306 0.5× 122 0.3× 444 1.2× 123 0.3× 92 0.3× 180 4.0k
Xuanjun Wang China 30 230 0.4× 383 0.8× 152 0.4× 27 0.1× 216 0.7× 202 3.5k
Sung‐Dae Kim South Korea 34 88 0.2× 396 0.8× 328 0.9× 118 0.3× 197 0.6× 196 3.7k
Yung‐Sheng Lin Taiwan 31 379 0.7× 222 0.5× 976 2.7× 103 0.3× 17 0.1× 164 3.4k
Siyuan Zhou China 35 150 0.3× 103 0.2× 651 1.8× 96 0.3× 58 0.2× 177 3.8k
Junsong Li China 31 144 0.3× 344 0.7× 312 0.9× 19 0.1× 201 0.7× 90 2.4k
Jinfang Liu China 33 148 0.3× 411 0.9× 229 0.6× 24 0.1× 108 0.4× 157 4.6k
Xiangrong Li China 37 157 0.3× 160 0.3× 642 1.7× 17 0.0× 197 0.6× 220 4.2k
Yiyang Hu China 39 186 0.3× 350 0.7× 98 0.3× 33 0.1× 33 0.1× 223 5.2k

Countries citing papers authored by Jinhee Jang

Since Specialization
Citations

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

Fields of papers citing papers by Jinhee Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhee Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhee Jang. A scholar is included among the top collaborators of Jinhee Jang 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 Jinhee Jang. Jinhee Jang 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.
2.
Ahn, Kook Jin, Hyunsoo Lee, Dominik Nickel, et al.. (2025). Effects of Deep Learning-Based Reconstruction on the Quality of Accelerated Contrast-Enhanced Neck MRI. Korean Journal of Radiology. 26(5). 446–446. 1 indexed citations
4.
Jang, Jinhee, et al.. (2025). χ‐sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation. Human Brain Mapping. 46(2). e70136–e70136. 4 indexed citations
5.
Shin, Hyeong‐Geol, Woojun Kim, Hyunsoo Lee, et al.. (2025). Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI. NeuroImage Clinical. 45. 103748–103748. 1 indexed citations
6.
Jung, Woojin, et al.. (2024). Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques. Scientific Reports. 14(1). 18983–18983. 3 indexed citations
7.
Jang, Jinhee, et al.. (2024). Comparison between R2′‐based and R2*‐based χ‐separation methods: A clinical evaluation in individuals with multiple sclerosis. NMR in Biomedicine. 37(9). e5167–e5167. 6 indexed citations
8.
Choi, Dongjun, Leonard Sunwoo, Sung Hyun Baik, et al.. (2024). Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study. American Journal of Neuroradiology. 45(9). 1253–1259. 1 indexed citations
9.
Kim, Tackeun, et al.. (2023). Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning. Computerized Medical Imaging and Graphics. 107. 102220–102220. 2 indexed citations
10.
Shin, Hyeong‐Geol, Riccardo Galbusera, Jincheol Seo, et al.. (2023). Imaging multiple sclerosis histopathology using susceptibility source separation: a postmortem brain study. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
11.
Jang, Jinhee, et al.. (2023). Quantitative Susceptibility Mapping of Oxygen Metabolism: A Feasibility Study Utilizing a Large-Scale Clinical Dataset. Investigative Magnetic Resonance Imaging. 27(4). 221–221.
12.
Kim, Woojun, et al.. (2022). χ-Separation Imaging for Diagnosis of Multiple Sclerosis versus Neuromyelitis Optica Spectrum Disorder. Radiology. 307(1). e220941–e220941. 27 indexed citations
13.
Jang, Jinhee, et al.. (2022). Acute Ischemic Stroke Caused by Internal Carotid Artery Occlusion: Impact of Occlusion Type on the Prognosis. World Neurosurgery. 164. e387–e396. 2 indexed citations
14.
Choi, Yangsean, So Lyung Jung, So Hee Lee, et al.. (2019). Comparison of efficacy and complications between radiofrequency ablation and repeat surgery in the treatment of locally recurrent thyroid cancers: a single-center propensity score matching study. International Journal of Hyperthermia. 36(1). 358–366. 50 indexed citations
15.
Won, Hyung‐Sun, et al.. (2017). Zuckerkandl Tubercle of the Thyroid Gland: Correlations between Findings of Anatomic Dissections and CT Imaging. American Journal of Neuroradiology. 38(7). 1416–1420. 7 indexed citations
17.
Jang, Jinhee, Bum‐Soo Kim, Hyun Seok Choi, et al.. (2013). Reflux venous flow in dural sinus and internal jugular vein on 3D time-of-flight MR angiography. Neuroradiology. 55(10). 1205–1211. 19 indexed citations
18.
Jang, Jinhee, et al.. (2009). Effects of dodecyl sulfate anionic surfactants on the crystal growth of ZnO through hydrothermal process. Journal of Ceramic Processing Research. 10(6). 783–790. 16 indexed citations
19.
Vinson, Joe A. & Jinhee Jang. (2001). In Vitro and In Vivo Lipoprotein Antioxidant Effect of a Citrus Extract and Ascorbic Acid on Normal and Hypercholesterolemic Human Subjects. Journal of Medicinal Food. 4(4). 187–192. 20 indexed citations
20.
Jang, Jinhee, et al.. (2001). Synthesis of (±)-methyl-(1 -aryl-4-pyridin-3-yl-but-3-enyl)-amines. Archives of Pharmacal Research. 24(6). 503–507. 3 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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