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)Yuan Shao (3 shared papers)Robert B. Petersen (2 shared papers)Brian A. Cobb (2 shared papers)Wen‐Quan Zou (2 shared papers)Pierluigi Gambetti (2 shared papers)Tetsuyuki Kitamoto (2 shared papers)Jean Laplanche (2 shared papers)
- Journals
- PLoS ONE (3 papers)Medicine (1 paper)BioMed Research International (1 paper)Advanced Functional Materials (1 paper)Future Oncology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Baiya Li
17 papers receiving 124 citations
Peers
Comparison fields: 5 of 42
- Neurology 27
- Cancer Research 18
- Molecular Biology 81
- Nutrition and Dietetics 15
- Endocrinology, Diabetes and Metabolism 10
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 | 32 | |
| 2 | 2013 | 17 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 8 | |
| 5 | 2019 | 8 | |
| 6 | 2016 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 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 124 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 (27 citations), Cancer Research (18 citations), Molecular Biology (81 citations), Nutrition and Dietetics (15 citations) and Endocrinology, Diabetes and Metabolism (10 citations). Baiya Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qingzhong Kong, Yuan Shao, Robert B. Petersen, Brian A. Cobb, Wen‐Quan Zou, Pierluigi Gambetti, Tetsuyuki Kitamoto, Jean Laplanche, Jan Langeveld and Junsong Liu. Their work appears in journals such as PLoS ONE, Medicine, BioMed Research International, Advanced Functional Materials and Future 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.