Ya-Hui Lin
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 6
- RNA modifications and cancer 2
- Mitochondrial Function and Pathology 2
- Histone Deacetylase Inhibitors Research 1
- RNA and protein synthesis mechanisms 1
-
- Amyotrophic Lateral Sclerosis Research 5
- Co-authors
- Kung‐Yao Chang (2 shared papers)Guillaume M. Hautbergue (8 shared papers)Lydia M. Castelli (7 shared papers)Claes Wahlestedt (1 shared paper)Carlos Coito (1 shared paper)Matthew D. Young (1 shared paper)C. Olivé (1 shared paper)Chun‐Yi Lu (1 shared paper)
- Journals
- iScience (1 paper)Frontiers in Aging Neuroscience (1 paper)Nature Communications (1 paper)Frontiers in Genetics (1 paper)EBioMedicine (1 paper)
- Partner nations
- United KingdomTaiwanUnited States
In The Last Decade
Ya-Hui Lin
9 papers receiving 214 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 48
- Molecular Biology 159
- Cellular and Molecular Neuroscience 40
- Psychiatry and Mental health 29
- Neurology 26
Countries citing papers authored by Ya-Hui Lin
This map shows the geographic impact of Ya-Hui Lin'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 Ya-Hui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Hui Lin more than expected).
Fields of papers citing papers by Ya-Hui Lin
This network shows the impact of papers produced by Ya-Hui Lin. 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 Ya-Hui Lin. The network helps show where Ya-Hui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Hui Lin, 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 | 2016 | 114 | |
| 2 | 2023 | 29 | |
| 3 | 2021 | 20 | |
| 4 | 2014 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 |
About Ya-Hui Lin
Ya-Hui Lin is a scholar working on Molecular Biology, Neurology, Pharmacology, Cellular and Molecular Neuroscience and Genetics, having authored 10 papers that have together received 216 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), RNA modifications and cancer (2 papers), Genetic Neurodegenerative Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Histone Deacetylase Inhibitors Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (48 citations), Molecular Biology (159 citations), Cellular and Molecular Neuroscience (40 citations), Psychiatry and Mental health (29 citations) and Neurology (26 citations). Ya-Hui Lin has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Kung‐Yao Chang, Guillaume M. Hautbergue, Lydia M. Castelli, Claes Wahlestedt, Carlos Coito, Matthew D. Young, C. Olivé, Chun‐Yi Lu, Jane Hsiao and Fang‐Chia Chang. Their work appears in journals such as iScience, Frontiers in Aging Neuroscience, Nature Communications, Frontiers in Genetics and EBioMedicine.
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.