Heejin Bang
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Fibroblast Growth Factor Research 2
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- Genetic factors in colorectal cancer 2
- Lymphoma Diagnosis and Treatment 2
- Cancer Mechanisms and Therapy 2
- Co-authors
- Kyoung‐Mee Kim (7 shared papers)Won Ki Kang (6 shared papers)Sang Yun Ha (2 shared papers)Cheol-Keun Park (2 shared papers)Jeeyun Lee (6 shared papers)Se Hoon Park (5 shared papers)Seung Tae Kim (4 shared papers)Soo Hyun Hwang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Oncotarget (3 papers)Cancer Research and Treatment (2 papers)Molecular Cancer Therapeutics (1 paper)Pathology International (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Heejin Bang
21 papers receiving 407 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 100
- Oncology 142
- Gastroenterology 22
- Pathology and Forensic Medicine 68
- Molecular Biology 217
Countries citing papers authored by Heejin Bang
This map shows the geographic impact of Heejin 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 Heejin Bang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejin Bang more than expected).
Fields of papers citing papers by Heejin Bang
This network shows the impact of papers produced by Heejin 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 Heejin Bang. The network helps show where Heejin Bang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heejin Bang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2016 | 52 | |
| 3 | 2017 | 45 | |
| 4 | 2018 | 40 | |
| 5 | 2015 | 36 | |
| 6 | 2016 | 34 | |
| 7 | 2015 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 22 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2025 | 1 |
About Heejin Bang
Heejin Bang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 411 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Genetic factors in colorectal cancer (2 papers), Renal cell carcinoma treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Fibroblast Growth Factor Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (100 citations), Oncology (142 citations), Gastroenterology (22 citations), Pathology and Forensic Medicine (68 citations) and Molecular Biology (217 citations). Heejin Bang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyoung‐Mee Kim, Won Ki Kang, Sang Yun Ha, Cheol-Keun Park, Jeeyun Lee, Se Hoon Park, Seung Tae Kim, Soo Hyun Hwang, Woong‐Yang Park and Junhun Cho. Their work appears in journals such as Scientific Reports, Oncotarget, Cancer Research and Treatment, Molecular Cancer Therapeutics and Pathology International.
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.