Pei‐Ling Hsieh
Impact in
- Periodontics top 0.5%
- Oral Health Pathology and Treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 7
-
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 10
- Co-authors
- Cheng‐Chia Yu (50 shared papers)Yi‐Wen Liao (43 shared papers)Kun‐Ling Tsai (18 shared papers)Pei‐Ming Chu (15 shared papers)Ching‐Hsia Hung (10 shared papers)Chih‐Yu Peng (13 shared papers)Wan-Ching Chou (14 shared papers)Ming‐Yi Lu (12 shared papers)
- Journals
- Environmental Toxicology (9 papers)Journal of Dental Sciences (9 papers)International Journal of Molecular Sciences (6 papers)Cancers (5 papers)Oncotarget (5 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Pei‐Ling Hsieh
103 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 130
- Periodontics 339
- Cancer Research 556
- Rehabilitation 157
- Geriatrics and Gerontology 52
- Molecular Biology 934
Countries citing papers authored by Pei‐Ling Hsieh
This map shows the geographic impact of Pei‐Ling 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 Pei‐Ling Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ling Hsieh more than expected).
Fields of papers citing papers by Pei‐Ling Hsieh
This network shows the impact of papers produced by Pei‐Ling 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 Pei‐Ling Hsieh. The network helps show where Pei‐Ling Hsieh may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ling 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
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2022 | 86 | |
| 3 | 2018 | 71 | |
| 4 | 2013 | 71 | |
| 5 | 2018 | 66 | |
| 6 | 2017 | 58 | |
| 7 | 2017 | 56 | |
| 8 | 2018 | 54 | |
| 9 | 2015 | 52 | |
| 10 | 2011 | 52 | |
| 11 | 2017 | 51 | |
| 12 | 2016 | 50 | |
| 13 | 2017 | 47 | |
| 14 | 2020 | 46 | |
| 15 | 2017 | 44 | |
| 16 | 2019 | 42 | |
| 17 | 2016 | 40 | |
| 18 | 2021 | 39 | |
| 19 | 2020 | 37 | |
| 20 | 2021 | 37 |
About Pei‐Ling Hsieh
Pei‐Ling Hsieh is a scholar working on Molecular Biology, Cancer Research, Periodontics, Oral Surgery and Immunology, having authored 108 papers that have together received 2.5k indexed citations. Recurring topics across this work include Oral Health Pathology and Treatment (23 papers), Cancer-related molecular mechanisms research (20 papers), Oral and Maxillofacial Pathology (10 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (7 papers), Mesenchymal stem cell research (5 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Periodontics (339 citations), Cancer Research (556 citations), Rehabilitation (157 citations), Geriatrics and Gerontology (52 citations) and Molecular Biology (934 citations). Pei‐Ling Hsieh has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng‐Chia Yu, Yi‐Wen Liao, Kun‐Ling Tsai, Pei‐Ming Chu, Ching‐Hsia Hung, Chih‐Yu Peng, Wan-Ching Chou, Ming‐Yi Lu, Chuan‐Hang Yu and Laura J. Suggs. Their work appears in journals such as Environmental Toxicology, Journal of Dental Sciences, International Journal of Molecular Sciences, Cancers and Oncotarget.
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.