Xi Ai
Impact in
-
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Lipid Membrane Structure and Behavior
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
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- Genomics and Chromatin Dynamics 2
- Receptor Mechanisms and Signaling 2
- Ubiquitin and proteasome pathways 2
- Lipid Membrane Structure and Behavior 1
- Surgery 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Mark R. Parthun (2 shared papers)Martin Caffrey (1 shared paper)Laura Rocco Carpenter (1 shared paper)Jianxin Ye (1 shared paper)Mary Anne Jelinek (1 shared paper)Liwen Zhang (1 shared paper)Michael A. Freitas (1 shared paper)Qishu Zhang (1 shared paper)
- Journals
- SLAS DISCOVERY (2 papers)Molecular Cell (2 papers)Cell Death and Disease (1 paper)Journal of Civil Engineering and Management (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Xi Ai
10 papers receiving 350 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 318
- Geriatrics and Gerontology 6
- Aging 2
- Cellular and Molecular Neuroscience 18
- General Engineering 1
Countries citing papers authored by Xi Ai
This map shows the geographic impact of Xi Ai'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 Xi Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Ai more than expected).
Fields of papers citing papers by Xi Ai
This network shows the impact of papers produced by Xi Ai. 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 Xi Ai. The network helps show where Xi Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Ai, 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 | 2005 | 135 | |
| 2 | 2004 | 119 | |
| 3 | 2000 | 68 | |
| 4 | 2011 | 15 | |
| 5 | 2019 | 10 | |
| 6 | 2020 | 2 | |
| 7 | 2016 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 1 |
About Xi Ai
Xi Ai is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 10 papers that have together received 354 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Genomics and Chromatin Dynamics (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Ubiquitin and proteasome pathways (2 papers), Geotechnical Engineering and Soil Stabilization (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Molecular Biology (318 citations), Geriatrics and Gerontology (6 citations), Aging (2 citations), Cellular and Molecular Neuroscience (18 citations) and General Engineering (1 citation). Xi Ai has collaborated with scholars based in United States and China. Frequent co-authors include Mark R. Parthun, Martin Caffrey, Laura Rocco Carpenter, Jianxin Ye, Mary Anne Jelinek, Liwen Zhang, Michael A. Freitas, Qishu Zhang, Arthur Fridman and Yang Qi. Their work appears in journals such as SLAS DISCOVERY, Molecular Cell, Cell Death and Disease, Journal of Civil Engineering and Management and Bioorganic & Medicinal Chemistry Letters.
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.