Ji-In Bang

994 total citations
42 papers, 685 citations indexed

About

Ji-In Bang is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ji-In Bang has authored 42 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Surgery. Recurrent topics in Ji-In Bang's work include Thyroid Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Ji-In Bang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Ji-In Bang collaborates with scholars based in South Korea, United States and Ethiopia. Ji-In Bang's co-authors include Jin Chul Paeng, Joo Myung Lee, Bon‐Kwon Koo, Jonghanne Park, Jinlong Zhang, Doyeon Hwang, Yaliang Tong, Minseok Suh, Won Woo Lee and Gi Jeong Cheon and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Ji-In Bang

41 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji-In Bang South Korea 15 455 208 150 120 98 42 685
Björn A. Blomberg Netherlands 16 651 1.4× 218 1.0× 221 1.5× 148 1.2× 298 3.0× 20 916
Takafumi Mochizuki Japan 13 318 0.7× 190 0.9× 73 0.5× 72 0.6× 158 1.6× 37 821
Peng Zhou China 16 296 0.7× 223 1.1× 78 0.5× 83 0.7× 191 1.9× 96 715
Anri Inaki Japan 13 154 0.3× 179 0.9× 88 0.6× 59 0.5× 80 0.8× 67 551
Takuro Isoda Japan 14 302 0.7× 116 0.6× 91 0.6× 31 0.3× 128 1.3× 55 618
Takehiro Nakahara Japan 15 243 0.5× 223 1.1× 175 1.2× 96 0.8× 189 1.9× 41 782
Jacek Kuśmierek Poland 13 163 0.4× 195 0.9× 69 0.5× 48 0.4× 112 1.1× 65 538
Kentaro Takanami Japan 15 345 0.8× 295 1.4× 215 1.4× 69 0.6× 241 2.5× 60 778
Emilia Zampella Italy 21 731 1.6× 290 1.4× 371 2.5× 217 1.8× 60 0.6× 92 1.1k
Young Jin Ryu South Korea 16 311 0.7× 129 0.6× 51 0.3× 88 0.7× 153 1.6× 38 630

Countries citing papers authored by Ji-In Bang

Since Specialization
Citations

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

Fields of papers citing papers by Ji-In Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-In Bang. 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 Ji-In Bang. The network helps show where Ji-In Bang may publish in the future.

Co-authorship network of co-authors of Ji-In Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-In Bang. A scholar is included among the top collaborators of Ji-In Bang 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 Ji-In Bang. Ji-In Bang 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.
Bang, Ji-In, Won‐Woo Lee, Sang‐Geon Cho, Miyoung Choi, & Yoo Sung Song. (2024). The Diagnostic Accuracy of SPECT Imaging in Patients With Suspected Pulmonary Embolism. Clinical Nuclear Medicine. 49(7). 637–643. 2 indexed citations
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Oh, So Won, Sohyun Park, Ari Chong, et al.. (2024). Radioactive Iodine Therapy in Differentiated Thyroid Cancer: Summary of the Korean Thyroid Association Guidelines 2024 from Nuclear Medicine Perspective, Part-II. Nuclear Medicine and Molecular Imaging. 59(1). 8–26.
6.
Oh, Chang‐Myung, et al.. (2024). An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data. Diabetes & Metabolism Journal. 49(1). 92–104. 1 indexed citations
7.
Park, Sohyun, Ji-In Bang, Keunyoung Kim, et al.. (2024). Comparison of Recombinant Human Thyroid-Stimulating Hormone and Thyroid Hormone Withdrawal for 131I Therapy in Patients With Intermediate- to High-Risk Thyroid Cancer. Clinical Nuclear Medicine. 49(3). e96–e104. 4 indexed citations
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Kim, Seok, Ji-In Bang, In Young Choi, et al.. (2022). Second primary malignancy risk in thyroid cancer and matched patients with and without radioiodine therapy analysis from the observational health data sciences and informatics. European Journal of Nuclear Medicine and Molecular Imaging. 49(10). 3547–3556. 18 indexed citations
10.
Bang, Ji-In, Chang Mo Moon, Hye Ok Kim, et al.. (2020). Blood pool activity on F-18 FDG PET/CT as a possible imaging biomarker of metabolic syndrome. Scientific Reports. 10(1). 17367–17367. 3 indexed citations
11.
Kim, Hye Ok, Bom Sahn Kim, Seo Young Kang, et al.. (2020). Metabolic changes in breast cancer on dual-time-point 18F-FDG PET/CT imaging according to primary tumor uptake and background parenchymal enhancement. Annals of Nuclear Medicine. 34(12). 942–951. 5 indexed citations
12.
Park, Jun‐Young, Sungwoo Bae, Seongho Seo, et al.. (2019). Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation. Scientific Reports. 9(1). 4223–4223. 54 indexed citations
13.
Kang, Seo Young, Ji-In Bang, Keon Wook Kang, Ho‐Young Lee, & June‐Key Chung. (2019). FDG PET/CT for the early prediction of RAI therapy response in patients with metastatic differentiated thyroid carcinoma. PLoS ONE. 14(6). e0218416–e0218416. 20 indexed citations
14.
Bae, Sungwoo, Ji-In Bang, Yoo Sung Song, & Won Woo Lee. (2018). Usefulness of Respiratory-Gated 18F-FDG PET/CT in Detecting Upper Abdominal Fever Focus. Nuclear Medicine and Molecular Imaging. 52(5). 380–383. 1 indexed citations
15.
Kim, Ji-Hyun, Hyun‐Jong Lee, Ji-In Bang, et al.. (2018). Quantitative Single-Photon Emission Computed Tomography/Computed Tomography for Evaluation of Salivary Gland Dysfunction in Sjögren’s Syndrome Patients. Nuclear Medicine and Molecular Imaging. 52(5). 368–376. 14 indexed citations
16.
Hwang, Doyeon, Ki‐Hyun Jeon, Joo Myung Lee, et al.. (2017). Diagnostic Performance of Resting and Hyperemic Invasive Physiological Indices to Define Myocardial Ischemia. JACC: Cardiovascular Interventions. 10(8). 751–760. 66 indexed citations
17.
Lim, Yoojoo, Ji-In Bang, Sae‐Won Han, et al.. (2016). Total lesion glycolysis (TLG) as an imaging biomarker in metastatic colorectal cancer patients treated with regorafenib. European Journal of Nuclear Medicine and Molecular Imaging. 44(5). 757–764. 26 indexed citations
18.
Bang, Ji-In, et al.. (2015). Malignant Peritoneal Mesothelioma Masquerades as Peritoneal Metastasis on 18F-FDG PET/CT Scans; a Rare Diagnosis that Should Not Be Missed. Nuclear Medicine and Molecular Imaging. 49(4). 325–328. 4 indexed citations
19.
Choi, Hongyoon, Ji-In Bang, Gi Jeong Cheon, et al.. (2014). 18F-Fluorodeoxyglucose and 11C-methionine positron emission tomography in relation to methyl-guanine methyltransferase promoter methylation in high-grade gliomas. Nuclear Medicine Communications. 36(3). 211–218. 10 indexed citations
20.
Bang, Ji-In, Eun Seong Lee, Tae Sung Kim, & Seok-Ki Kim. (2014). Unexpected Second Primary Malignancies Detected by F-18 FDG PET/CT During Follow-up for Primary Malignancy: Two Case Reports. Nuclear Medicine and Molecular Imaging. 49(1). 65–68. 6 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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