Tsan-Yu Hsieh
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies 4
- Periodontics top 10%
- Oral Health Pathology and Treatment 2
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- HER2/EGFR in Cancer Research 2
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- Genomics, phytochemicals, and oxidative stress 2
- Glutathione Transferases and Polymorphisms 2
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- Esophageal Cancer Research and Treatment 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Liang‐Che ChangJim‐Ray ChenCheng‐Cheng HwangHuang ScShih‐Wei YangChung‐Ching HuaHui‐Ping ChienTai-An Chen
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Tsan-Yu Hsieh
19 papers receiving 272 citations
Peers
Comparison fields: 5 of 53
- Otorhinolaryngology 61
- Periodontics 33
- Oncology 104
- Cancer Research 45
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Tsan-Yu Hsieh
This map shows the geographic impact of Tsan-Yu Hsieh'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 Tsan-Yu Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsan-Yu Hsieh more than expected).
Fields of papers citing papers by Tsan-Yu Hsieh
This network shows the impact of papers produced by Tsan-Yu Hsieh. 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 Tsan-Yu Hsieh. The network helps show where Tsan-Yu Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsan-Yu Hsieh, 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 | 2023 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 37 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 27 | |
| 13 | 2014 | 11 | |
| 14 | 2013 | 5 | |
| 15 | 2012 | 15 | |
| 16 | 2012 | 19 | |
| 17 | 2011 | 16 | |
| 18 | The survival of patients with nasopharyngeal carcinoma. | 1982 | 46 |
| 19 | [Factors affecting the survival of patients with nasopharyngeal carcinoma (author's transl)]. | 1981 | 3 |
About Tsan-Yu Hsieh
Tsan-Yu Hsieh is a scholar working on Otorhinolaryngology, Periodontics, Internal Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Oral Health Pathology and Treatment (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Esophageal Cancer Research and Treatment (2 papers), HER2/EGFR in Cancer Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Otorhinolaryngology (61 citations), Periodontics (33 citations), Oncology (104 citations), Cancer Research (45 citations) and Pulmonary and Respiratory Medicine (86 citations). Tsan-Yu Hsieh has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Liang‐Che Chang, Jim‐Ray Chen, Cheng‐Cheng Hwang, Huang Sc, Shih‐Wei Yang, Chung‐Ching Hua, Hui‐Ping Chien, Tai-An Chen, Yun‐Shien Lee and Chung‐Wei Fan. Their work appears in journals such as Medicine, Oral Oncology, Nature Communications, Diagnostic Pathology and Disease Markers.
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.