Yuting Shi
Impact in
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- Genetic Neurodegenerative Diseases
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
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- Mitochondrial Function and Pathology 14
-
- Genetic Neurodegenerative Diseases 22
- Co-authors
- Beisha Tang (25 shared papers)Hong Jiang (22 shared papers)Amir Barati Farimani (1 shared paper)Ian D. Gates (1 shared paper)Mohammadreza Karamad (1 shared paper)Samira Siahrostami (1 shared paper)Rishikesh Magar (1 shared paper)Kun Xia (15 shared papers)
- Journals
- Movement Disorders (4 papers)Frontiers in Microbiology (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)NeuroImage (2 papers)The Cerebellum (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuting Shi
60 papers receiving 796 citations
Peers
Comparison fields: 5 of 128
- Cellular and Molecular Neuroscience 170
- Neurology 111
- Neurology 41
- Gastroenterology 24
- Molecular Biology 299
Countries citing papers authored by Yuting Shi
This map shows the geographic impact of Yuting Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Shi more than expected).
Fields of papers citing papers by Yuting Shi
This network shows the impact of papers produced by Yuting Shi. 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 Shi. The network helps show where Yuting Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Shi, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2017 | 64 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 57 | |
| 5 | 2022 | 51 | |
| 6 | 2013 | 40 | |
| 7 | 2019 | 36 | |
| 8 | 2021 | 30 | |
| 9 | 2022 | 26 | |
| 10 | 2019 | 25 | |
| 11 | 2019 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2013 | 18 | |
| 14 | 2020 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2012 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2022 | 9 |
About Yuting Shi
Yuting Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 65 papers that have together received 810 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (22 papers), Mitochondrial Function and Pathology (14 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (5 papers), Animal Virus Infections Studies (4 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (170 citations), Neurology (111 citations), Neurology (41 citations), Gastroenterology (24 citations) and Molecular Biology (299 citations). Yuting Shi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Beisha Tang, Hong Jiang, Amir Barati Farimani, Ian D. Gates, Mohammadreza Karamad, Samira Siahrostami, Rishikesh Magar, Kun Xia, Lu Shen and Junling Wang. Their work appears in journals such as Movement Disorders, Frontiers in Microbiology, IEEE Journal of Biomedical and Health Informatics, NeuroImage and The Cerebellum.
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.