Yuting Ren
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Neurogenetic and Muscular Disorders Research
Papers in ⓘ
- Neurology 14
- Amyotrophic Lateral Sclerosis Research 12
- Parkinson's Disease Mechanisms and Treatments 5
- Neurological diseases and metabolism 4
- Co-authors
- Xusheng Huang (13 shared papers)Fei Yang (9 shared papers)Wenjia Zhu (7 shared papers)Jiandu Lei (9 shared papers)Liyu Zhu (4 shared papers)Luying Wang (6 shared papers)Siyuan Li (3 shared papers)Li Mao (3 shared papers)
In The Last Decade
Yuting Ren
55 papers receiving 570 citations
Peers
Comparison fields: 5 of 118
- Neurology 151
- Genetics 72
- Neurology 30
- Renewable Energy, Sustainability and the Environment 58
- Materials Chemistry 117
Countries citing papers authored by Yuting Ren
This map shows the geographic impact of Yuting Ren'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 Yuting Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Ren more than expected).
Fields of papers citing papers by Yuting Ren
This network shows the impact of papers produced by Yuting Ren. 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 Yuting Ren. The network helps show where Yuting Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Ren, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2014 | 31 | |
| 3 | 2016 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2024 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2023 | 17 | |
| 17 | 2018 | 15 | |
| 18 | Measurement of cystatin C levels in the cerebrospinal fluid of patients with amyotrophic lateral sclerosis. | 2015 | 15 |
| 19 | 2020 | 14 | |
| 20 | 2023 | 12 |
About Yuting Ren
Yuting Ren is a scholar working on Neurology, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Food Science, having authored 64 papers that have together received 580 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (12 papers), Neurogenetic and Muscular Disorders Research (6 papers), Covalent Organic Framework Applications (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced battery technologies research (4 papers), Neurological diseases and metabolism (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in Neurology (151 citations), Genetics (72 citations), Neurology (30 citations), Renewable Energy, Sustainability and the Environment (58 citations) and Materials Chemistry (117 citations). Yuting Ren has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Xusheng Huang, Fei Yang, Wenjia Zhu, Jiandu Lei, Liyu Zhu, Luying Wang, Siyuan Li, Li Mao, Xiaolan Zhang and Zhaohui Chen. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, ACS Applied Nano Materials, Annals of Palliative Medicine, Annals of Translational Medicine and International Journal of Biological Macromolecules.
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.