Yanting Xing
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 12
-
- Protein Structure and Dynamics 4
- RNA Research and Splicing 2
- Co-authors
- Feng Ding (14 shared papers)Pu Chun Ke (12 shared papers)Aleksandr Käkinen (11 shared papers)Thomas P. Davis (11 shared papers)Yunxiang Sun (9 shared papers)Ava Faridi (4 shared papers)Bo Wang (4 shared papers)Ibrahim Javed (4 shared papers)
- Journals
- Scientific Reports (2 papers)Biomacromolecules (2 papers)Small (2 papers)Chemistry of Materials (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Yanting Xing
14 papers receiving 585 citations
Peers
Comparison fields: 5 of 82
- Physiology 323
- Biomaterials 143
- Molecular Biology 321
- Cell Biology 59
- Neurology 27
Countries citing papers authored by Yanting Xing
This map shows the geographic impact of Yanting Xing'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 Yanting Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Xing more than expected).
Fields of papers citing papers by Yanting Xing
This network shows the impact of papers produced by Yanting Xing. 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 Yanting Xing. The network helps show where Yanting Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanting Xing, 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 | 2019 | 159 | |
| 2 | 2018 | 69 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 53 | |
| 6 | 2018 | 42 | |
| 7 | 2021 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 2019 | 28 | |
| 10 | 2020 | 17 | |
| 11 | 2017 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 0 |
About Yanting Xing
Yanting Xing is a scholar working on Physiology, Molecular Biology, Biomaterials, Cell Biology and Surgery, having authored 15 papers that have together received 587 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Supramolecular Self-Assembly in Materials (6 papers), Protein Structure and Dynamics (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Research and Splicing (2 papers), Pancreatic function and diabetes (1 paper), Graphene and Nanomaterials Applications (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Physiology (323 citations), Biomaterials (143 citations), Molecular Biology (321 citations), Cell Biology (59 citations) and Neurology (27 citations). Yanting Xing has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Feng Ding, Pu Chun Ke, Aleksandr Käkinen, Thomas P. Davis, Yunxiang Sun, Ava Faridi, Bo Wang, Ibrahim Javed, Emily H. Pilkington and Aparna Nandakumar. Their work appears in journals such as Scientific Reports, Biomacromolecules, Small, Chemistry of Materials and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.