Baiya Li
Impact in
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- Neurological diseases and metabolism
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- Cancer-related molecular mechanisms research
Papers in
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- Prion Diseases and Protein Misfolding 4
- RNA modifications and cancer 3
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Qingzhong Kong (3 shared papers)Jue Yuan (2 shared papers)Brian A. Cobb (2 shared papers)Pierluigi Gambetti (2 shared papers)Wen‐Quan Zou (2 shared papers)Peng Han (6 shared papers)Junsong Liu (4 shared papers)Ignazio Calì (2 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Magnetic Resonance Imaging (1 paper)Medicine (1 paper)Current Molecular Medicine (1 paper)Molecular Genetics and Genomics (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Baiya Li
17 papers receiving 127 citations
Peers
Comparison fields: 5 of 42
- Neurology 29
- Cancer Research 18
- Molecular Biology 83
- Nutrition and Dietetics 16
- Endocrinology, Diabetes and Metabolism 12
Countries citing papers authored by Baiya Li
This map shows the geographic impact of Baiya Li'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 Baiya Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baiya Li more than expected).
Fields of papers citing papers by Baiya Li
This network shows the impact of papers produced by Baiya Li. 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 Baiya Li. The network helps show where Baiya Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Baiya Li, 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 | 2013 | 34 | |
| 2 | 2013 | 17 | |
| 3 | 2023 | 11 | |
| 4 | 2016 | 9 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2011 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2015 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 0 |
About Baiya Li
Baiya Li is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Surgery, having authored 18 papers that have together received 128 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (4 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Trace Elements in Health (2 papers), RNA Research and Splicing (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Neurology (29 citations), Cancer Research (18 citations), Molecular Biology (83 citations), Nutrition and Dietetics (16 citations) and Endocrinology, Diabetes and Metabolism (12 citations). Baiya Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qingzhong Kong, Jue Yuan, Brian A. Cobb, Pierluigi Gambetti, Wen‐Quan Zou, Peng Han, Junsong Liu, Ignazio Calì, Jan Langeveld and Xiangzhu Xiao. Their work appears in journals such as PLoS ONE, Journal of Magnetic Resonance Imaging, Medicine, Current Molecular Medicine and Molecular Genetics and Genomics.
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.