Yae‐Eun Suh
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Prostate Cancer Diagnosis and Treatment 6
- Prostate Cancer Treatment and Research 3
- Neonatal Respiratory Health Research 1
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- Head and Neck Cancer Studies 4
- Co-authors
- Mahvash Tavassoli (4 shared papers)Teresa Guerrero Urbano (5 shared papers)Ivano Amelio (1 shared paper)Vinidh Paleri (2 shared papers)Selvam Thavaraj (2 shared papers)Max Robinson (2 shared papers)Katherine Lawler (2 shared papers)Stéphane Gobeil (1 shared paper)
- Journals
- Radiotherapy and Oncology (5 papers)Clinical Oncology (3 papers)Medical dosimetry (1 paper)Clinical and Translational Radiation Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United KingdomAustraliaJapan
In The Last Decade
Yae‐Eun Suh
16 papers receiving 394 citations
Peers
Comparison fields: 5 of 50
- Otorhinolaryngology 93
- Cancer Research 116
- Oncology 89
- Pulmonary and Respiratory Medicine 86
- Molecular Biology 166
Countries citing papers authored by Yae‐Eun Suh
This map shows the geographic impact of Yae‐Eun Suh'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 Yae‐Eun Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yae‐Eun Suh more than expected).
Fields of papers citing papers by Yae‐Eun Suh
This network shows the impact of papers produced by Yae‐Eun Suh. 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 Yae‐Eun Suh. The network helps show where Yae‐Eun Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside Yae‐Eun Suh, 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 | 2014 | 141 | |
| 2 | 2014 | 86 | |
| 3 | 2013 | 61 | |
| 4 | 2017 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2014 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2017 | 1 |
About Yae‐Eun Suh
Yae‐Eun Suh is a scholar working on Pulmonary and Respiratory Medicine, Otorhinolaryngology, Cancer Research, Molecular Biology and Oncology, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (6 papers), Head and Neck Cancer Studies (4 papers), Prostate Cancer Treatment and Research (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), MicroRNA in disease regulation (1 paper), S100 Proteins and Annexins (1 paper), Advanced Radiotherapy Techniques (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Otorhinolaryngology (93 citations), Cancer Research (116 citations), Oncology (89 citations), Pulmonary and Respiratory Medicine (86 citations) and Molecular Biology (166 citations). Yae‐Eun Suh has collaborated with scholars based in United Kingdom, Australia and Japan. Frequent co-authors include Mahvash Tavassoli, Teresa Guerrero Urbano, Ivano Amelio, Vinidh Paleri, Selvam Thavaraj, Max Robinson, Katherine Lawler, Stéphane Gobeil, Nina Raulf and Jacques Huot. Their work appears in journals such as Radiotherapy and Oncology, Clinical Oncology, Medical dosimetry, Clinical and Translational Radiation Oncology and International Journal of Radiation Oncology*Biology*Physics.
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.