Ya-Hui Lin

501 citations
10 papers · 230 · h-index 7

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 5
    • Mitochondrial Function and Pathology 2
    • RNA modifications and cancer 2
    • Amyotrophic Lateral Sclerosis Research 5

Ya-Hui Lin

9 papers receiving 228 citations

Peers

Ya-Hui Lin
Comparison fields: 5 of 39
  • Cancer Research 47
  • Molecular Biology 162
  • Psychiatry and Mental health 31
  • Cellular and Molecular Neuroscience 40
  • Neurology 26
Replace Luciana Ramalho Pimentel‐Silva with:
Luciana Ramalho Pimentel‐Silva Brazil
Kirill Shkura United Kingdom
Rosa Campopiano Italy
Jillian Belgrad United States
Jessica R. Riseley Australia
Sonia Amabile Italy
María Isabel Álvarez‐Mora Spain
Dana Marafi United States
Adeline Ngoh United Kingdom
Martina Steinmaurer Germany
Ya-Hui Lin relative to Luciana Ramalho Pimentel‐Silva Brazil Luciana Ramalho Pimentel‐Silva's profile →
Citations per field
00.5×
Luciana Ramalho Pimentel‐Silva · 1×
Citations per year

Countries citing papers authored by Ya-Hui Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ya-Hui Lin Line = papers co-authored together Ya-Hui Lin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016122
2 202332
3 202121
4 201418
5 202116
6 20229
7 20246
8 20225
9 20231
10 20240

About Ya-Hui Lin

Ya-Hui Lin is a scholar working on Molecular Biology, Neurology, Pharmacology, Cellular and Molecular Neuroscience and Epidemiology, having authored 10 papers that have together received 230 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), RNA Research and Splicing (5 papers), Mitochondrial Function and Pathology (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Genetic Neurodegenerative Diseases (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cancer Research (47 citations), Molecular Biology (162 citations), Psychiatry and Mental health (31 citations), Cellular and Molecular Neuroscience (40 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, Ming‐Shian Tsai, Tianyou Yuan, Marco Magistri, Matthew S. Lawrence, Matthew D. Young, Shu‐Wha Lin and Guangmao Shen. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Cellular Neuroscience, Frontiers in Genetics, Biochemical Society Transactions and Life Science Alliance.

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.

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