Ji-In Bang

994 citations
42 papers · 685 · h-index 15

Impact in

Papers in

Ji-In Bang

41 papers receiving 678 citations

Peers

Ji-In Bang
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 455
  • Cardiology and Cardiovascular Medicine 150
  • Surgery 208
  • Endocrinology, Diabetes and Metabolism 73
  • Neurology 56
Replace Takafumi Mochizuki with:
Takafumi Mochizuki Japan
Anri Inaki Japan
Björn A. Blomberg Netherlands
N.M.C. So Hong Kong
Michiru Ide Japan
Takehiro Nakahara Japan
Asim Rizvi United States
Emilia Zampella Italy
Takuro Isoda Japan
Peng Zhou China
Ji-In Bang relative to Takafumi Mochizuki Japan Takafumi Mochizuki's profile →
Citations per field
00.5×3.1×
Takafumi Mochizuki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ji-In Bang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ji-In Bang Line = papers co-authored together Ji-In Bang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201997
2 201766
3 201656
4 201954
5 201752
6 201549
7 202247
8 201731
9 201626
10 201722
11 201920
12 201919
13 202218
14 201516
15 201814
16 201612
17 201410
18 20229
19 20228
20 20237

About Ji-In Bang

Ji-In Bang is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 42 papers that have together received 685 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cardiac Imaging and Diagnostics (7 papers), Radiation Dose and Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers), MRI in cancer diagnosis (3 papers), Coronary Interventions and Diagnostics (3 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (455 citations), Cardiology and Cardiovascular Medicine (150 citations), Surgery (208 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Neurology (56 citations). Ji-In Bang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jin Chul Paeng, Jinlong Zhang, Jonghanne Park, Joo Myung Lee, Bon‐Kwon Koo, Doyeon Hwang, Minseok Suh, Yaliang Tong, Won Woo Lee and Gi Jeong Cheon. Their work appears in journals such as Scientific Reports, European Journal of Nuclear Medicine and Molecular Imaging, Circulation Cardiovascular Imaging, European Heart Journal - Cardiovascular Imaging and Korean Journal of Radiology.

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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