Hsu-Ching Huang
Impact in
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- Lung Cancer Treatments and Mutations
- Brain Metastases and Treatment
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
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- Lung Cancer Treatments and Mutations 7
- Pleural and Pulmonary Diseases 1
- Oncology 7
- Lung Cancer Research Studies 6
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Chi‐Lu Chiang (18 shared papers)Chao‐Hua Chiu (13 shared papers)Yung‐Hung Luo (15 shared papers)Yuh‐Min Chen (11 shared papers)Mei‐Han Wu (2 shared papers)Tsu‐Hui Shiao (4 shared papers)Heng‐Sheng Chao (3 shared papers)Teh-Ying Chou (3 shared papers)
- Journals
- Lung Cancer (3 papers)Targeted Oncology (2 papers)Scientific Reports (2 papers)Frontiers in Bioscience-Landmark (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Hsu-Ching Huang
18 papers receiving 173 citations
Peers
Comparison fields: 5 of 25
- Pulmonary and Respiratory Medicine 98
- Oncology 64
- Dermatology 13
- Cancer Research 21
- Pathology and Forensic Medicine 10
Countries citing papers authored by Hsu-Ching Huang
This map shows the geographic impact of Hsu-Ching Huang'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 Hsu-Ching Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsu-Ching Huang more than expected).
Fields of papers citing papers by Hsu-Ching Huang
This network shows the impact of papers produced by Hsu-Ching Huang. 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 Hsu-Ching Huang. The network helps show where Hsu-Ching Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsu-Ching Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 29 | |
| 2 | 2022 | 21 | |
| 3 | 2021 | 17 | |
| 4 | 2013 | 17 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2025 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 0 |
About Hsu-Ching Huang
Hsu-Ching Huang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 19 papers that have together received 176 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Research Studies (6 papers), Cancer Genomics and Diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Pleural and Pulmonary Diseases (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (98 citations), Oncology (64 citations), Dermatology (13 citations), Cancer Research (21 citations) and Pathology and Forensic Medicine (10 citations). Hsu-Ching Huang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chi‐Lu Chiang, Chao‐Hua Chiu, Yung‐Hung Luo, Yuh‐Min Chen, Mei‐Han Wu, Tsu‐Hui Shiao, Heng‐Sheng Chao, Teh-Ying Chou, Yi‐Wei Chen and Chun‐Ming Tsai. Their work appears in journals such as Lung Cancer, Targeted Oncology, Scientific Reports, Frontiers in Bioscience-Landmark and Frontiers in Oncology.
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.