Udit Sheth
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
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- Neurogenetic and Muscular Disorders Research
Papers in
-
- Amyotrophic Lateral Sclerosis Research 5
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Parkinson's Disease Mechanisms and Treatments 1
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- Prion Diseases and Protein Misfolding 2
- Co-authors
- Tania F. Gendron (5 shared papers)Philip C. Wong (1 shared paper)Jun Zhong (1 shared paper)Lingxin Zhang (1 shared paper)Yongxian Zhuang (1 shared paper)Na Zhao (1 shared paper)Dale B. Bosco (1 shared paper)Mark P. Mattson (1 shared paper)
- Journals
- Nature Neuroscience (2 papers)Molecular Neurodegeneration (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Journal of Biological Chemistry (1 paper)Glia (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Udit Sheth
5 papers receiving 179 citations
Udit Sheth's Hit Papers
Peers
Comparison fields: 5 of 41
- Neurology 75
- Neurology 69
- Genetics 26
- Immunology 38
- Physiology 8
Countries citing papers authored by Udit Sheth
This map shows the geographic impact of Udit Sheth'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 Udit Sheth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udit Sheth more than expected).
Fields of papers citing papers by Udit Sheth
This network shows the impact of papers produced by Udit Sheth. 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 Udit Sheth. The network helps show where Udit Sheth may publish in the future.
Co-authors
The 25 scholars most cited alongside Udit Sheth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | Fluid biomarkers for amyotrophic lateral sclerosis: a review Hit paper breakdown → | 2024 | 43 |
| 3 | 2019 | 33 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 |
About Udit Sheth
Udit Sheth is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Pharmacology, having authored 7 papers that have together received 180 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), Prion Diseases and Protein Misfolding (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Genetic Neurodegenerative Diseases (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Alzheimer's disease research and treatments (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (75 citations), Neurology (69 citations), Genetics (26 citations), Immunology (38 citations) and Physiology (8 citations). Udit Sheth has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Tania F. Gendron, Philip C. Wong, Jun Zhong, Lingxin Zhang, Yongxian Zhuang, Na Zhao, Dale B. Bosco, Mark P. Mattson, Chia‐Chen Liu and Manling Xie. Their work appears in journals such as Nature Neuroscience, Molecular Neurodegeneration, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Biological Chemistry and Glia.
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.