Xinrui Gui
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 8
- Nuclear Structure and Function 3
- Protein Structure and Dynamics 2
- RNA modifications and cancer 2
- Heat shock proteins research 1
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- Alzheimer's disease research and treatments 5
- Co-authors
- Cong Liu (11 shared papers)Dan Li (6 shared papers)Xueming Li (3 shared papers)Feng Luo (3 shared papers)Jinge Gu (6 shared papers)Zhenying Liu (3 shared papers)Chunyu Zhao (2 shared papers)Yichen Li (4 shared papers)
- Journals
- Nature Communications (2 papers)Cell Research (2 papers)Biomacromolecules (2 papers)Nature Structural & Molecular Biology (2 papers)Developmental Cell (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xinrui Gui
18 papers receiving 1.4k citations
Xinrui Gui's Hit Papers
Peers
Comparison fields: 5 of 90
- Neurology 336
- Molecular Biology 955
- Biomaterials 186
- Physiology 324
- Biochemistry 81
Countries citing papers authored by Xinrui Gui
This map shows the geographic impact of Xinrui Gui'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 Xinrui Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinrui Gui more than expected).
Fields of papers citing papers by Xinrui Gui
This network shows the impact of papers produced by Xinrui Gui. 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 Xinrui Gui. The network helps show where Xinrui Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinrui Gui, 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 | Amyloid fibril structure of α-synuclein determined by cryo-electron microscopy Hit paper breakdown → | 2018 | 355 |
| 2 | 2019 | 206 | |
| 3 | 2018 | 183 | |
| 4 | 2019 | 162 | |
| 5 | 2020 | 124 | |
| 6 | 2022 | 87 | |
| 7 | 2019 | 81 | |
| 8 | 2023 | 49 | |
| 9 | 2020 | 47 | |
| 10 | 2017 | 44 | |
| 11 | 2019 | 36 | |
| 12 | 2025 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2024 | 15 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 |
About Xinrui Gui
Xinrui Gui is a scholar working on Molecular Biology, Physiology, Biomaterials, Neurology and Genetics, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Alzheimer's disease research and treatments (5 papers), Supramolecular Self-Assembly in Materials (4 papers), Nuclear Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), RNA modifications and cancer (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Neurology (336 citations), Molecular Biology (955 citations), Biomaterials (186 citations), Physiology (324 citations) and Biochemistry (81 citations). Xinrui Gui has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Cong Liu, Dan Li, Xueming Li, Feng Luo, Jinge Gu, Zhenying Liu, Chunyu Zhao, Yichen Li, Zhipu Luo and Yaowang Li. Their work appears in journals such as Nature Communications, Cell Research, Biomacromolecules, Nature Structural & Molecular Biology and Developmental Cell.
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.