Junyu Lin
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological disorders and treatments
- Long-Term Effects of COVID-19
- Rehabilitation top 10%
Papers in
- Neurology 85
- Parkinson's Disease Mechanisms and Treatments 52
- Amyotrophic Lateral Sclerosis Research 23
- Neurological disorders and treatments 10
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- Genetic Neurodegenerative Diseases 7
- Co-authors
- Huifang Shang (99 shared papers)Chunyu Li (49 shared papers)Yanbing Hou (72 shared papers)Ruwei Ou (75 shared papers)Lingyu Zhang (54 shared papers)Qianqian Wei (57 shared papers)Tianmi Yang (59 shared papers)Kuncheng Liu (56 shared papers)
- Journals
- Frontiers in Neurology (11 papers)Journal of Neurology (9 papers)Frontiers in Aging Neuroscience (8 papers)Movement Disorders (5 papers)European Journal of Neurology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junyu Lin
132 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Neurology 579
- Rehabilitation 36
- Periodontics 35
- Neurology 38
- Epidemiology 155
Countries citing papers authored by Junyu Lin
This map shows the geographic impact of Junyu 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 Junyu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Lin more than expected).
Fields of papers citing papers by Junyu Lin
This network shows the impact of papers produced by Junyu 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 Junyu Lin. The network helps show where Junyu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 146 | |
| 2 | 2022 | 99 | |
| 3 | 2014 | 72 | |
| 4 | 2021 | 45 | |
| 5 | 2023 | 44 | |
| 6 | 2021 | 39 | |
| 7 | 2023 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2017 | 36 | |
| 10 | 2020 | 35 | |
| 11 | 2017 | 32 | |
| 12 | 2021 | 30 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2016 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2017 | 22 | |
| 18 | 2020 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2024 | 20 |
About Junyu Lin
Junyu Lin is a scholar working on Neurology, Cellular and Molecular Neuroscience, Cancer Research, Cognitive Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 141 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (52 papers), Amyotrophic Lateral Sclerosis Research (23 papers), Neurological disorders and treatments (10 papers), Genetic Neurodegenerative Diseases (7 papers), Dementia and Cognitive Impairment Research (5 papers), Functional Brain Connectivity Studies (5 papers), Hepatitis B Virus Studies (4 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (579 citations), Rehabilitation (36 citations), Periodontics (35 citations), Neurology (38 citations) and Epidemiology (155 citations). Junyu Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huifang Shang, Chunyu Li, Yanbing Hou, Ruwei Ou, Lingyu Zhang, Qianqian Wei, Tianmi Yang, Kuncheng Liu, Jiayan Liu and Bei Cao. Their work appears in journals such as Frontiers in Neurology, Journal of Neurology, Frontiers in Aging Neuroscience, Movement Disorders and European Journal of Neurology.
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.