Ya-Hui Lin

517 citations
13 papers · 371 · h-index 9

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neurogenetic and Muscular Disorders Research
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Amyotrophic Lateral Sclerosis Research 8
    • Parkinson's Disease Mechanisms and Treatments 1
    • RNA Research and Splicing 6
    • Mitochondrial Function and Pathology 3
    • RNA modifications and cancer 2

Ya-Hui Lin

12 papers receiving 369 citations

Peers

Ya-Hui Lin
Comparison fields: 5 of 45
  • Neurology 107
  • Genetics 62
  • Cancer Research 53
  • Cellular and Molecular Neuroscience 69
  • Molecular Biology 242
Replace Zhe Long with:
Zhe Long China
Antonella Sferra Italy
Melissa K. Long United States
Jenny Blechingberg Denmark
Marisela Dy-Hollins United States
Michael Niblock United Kingdom
Eugenia Petoukhov Canada
Rosa Campopiano Italy
Mila Mirceta Canada
Christeen Ramane J. Pedurupillay Norway
Ya-Hui Lin relative to Zhe Long China Zhe Long's profile →
Citations per field
00.5×2×2.8×
Zhe Long · 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

13 of 13 papers shown
#Work
1 2016126
2 2017104
3 202339
4 202122
5 202119
6 201418
7 202311
8 202210
9 20249
10 20229
11 20233
12 20241
13 20260

About Ya-Hui Lin

Ya-Hui Lin is a scholar working on Neurology, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 13 papers that have together received 371 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), RNA Research and Splicing (6 papers), Mitochondrial Function and Pathology (3 papers), RNA modifications and cancer (2 papers), Genetic Neurodegenerative Diseases (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (107 citations), Genetics (62 citations), Cancer Research (53 citations), Cellular and Molecular Neuroscience (69 citations) and Molecular Biology (242 citations). Ya-Hui Lin has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Guillaume M. Hautbergue, Lydia M. Castelli, Kung‐Yao Chang, Jane H. Hsiao, Shu‐Wha Lin, Tina Thorne, Matthew S. Lawrence, Marco Magistri, Carme Olivé and Mohammad Ali Faghihi. Their work appears in journals such as Nature Communications, Science Translational Medicine, Life Science Alliance, Frontiers in Genetics and Frontiers in Cellular Neuroscience.

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.

Explore authors with similar magnitude of impact