Tuancheng Feng
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 9
- Parkinson's Disease Mechanisms and Treatments 7
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 9
- Parkinson's Disease Mechanisms and Treatments 7
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Physiology top 5%
- Alzheimer's disease research and treatments 11
- Lysosomal Storage Disorders Research 4
- Physiology top 5%
- Alzheimer's disease research and treatments 11
- Lysosomal Storage Disorders Research 4
- Cell Biology top 10%
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- Autophagy in Disease and Therapy 4
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- RNA regulation and disease 2
- Prion Diseases and Protein Misfolding 1
- Co-authors
- Fenghua HuQian CaiPrasad TammineniDaniel H. PaushterHuan DuXuan YeYu Young JeongXiaolai Zhou
- Cited by
- NeurologyPhysiology
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Tuancheng Feng
18 papers receiving 755 citations
Peers
Comparison fields: 5 of 78
- Neurology 158
- Neurology 280
- Physiology 419
- Physiology 58
- Cell Biology 168
Countries citing papers authored by Tuancheng Feng
This map shows the geographic impact of Tuancheng Feng'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 Tuancheng Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuancheng Feng more than expected).
Fields of papers citing papers by Tuancheng Feng
This network shows the impact of papers produced by Tuancheng Feng. 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 Tuancheng Feng. The network helps show where Tuancheng Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuancheng Feng, 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 | 2024 | 7 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 53 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 61 | |
| 11 | 2020 | 36 | |
| 12 | 2018 | 146 | |
| 13 | 2017 | 61 | |
| 14 | 2017 | 54 | |
| 15 | 2017 | 131 | |
| 16 | 2017 | 46 | |
| 17 | 2016 | 56 | |
| 18 | 2015 | 13 |
About Tuancheng Feng
Tuancheng Feng is a scholar working on Neurology, Physiology and Neurology, having authored 18 papers that have together received 770 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Amyotrophic Lateral Sclerosis Research (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (4 papers), Lysosomal Storage Disorders Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA regulation and disease (2 papers) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (158 citations), Neurology (280 citations) and Physiology (419 citations). Tuancheng Feng has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Fenghua Hu, Qian Cai, Prasad Tammineni, Daniel H. Paushter, Huan Du, Xuan Ye, Yu Young Jeong, Xiaolai Zhou, Mohammed Ullah and Thomas Reinheckel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Brain.
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.