Tie Xia
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 10%
Papers in
-
- Lipid Membrane Structure and Behavior 4
- Advanced biosensing and bioanalysis techniques 3
- Cell Biology 10
- Cellular Mechanics and Interactions 6
- Cellular transport and secretion 3
- Co-authors
- Xiaohong Fang (12 shared papers)Nan Li (2 shared papers)Yan Shi (13 shared papers)Yanan Du (5 shared papers)Jinghe Yuan (2 shared papers)Chenyu Huang (4 shared papers)Xiaojun Yan (3 shared papers)Zhifeng You (3 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)International Journal of Environmental Research and Public Health (1 paper)The Analyst (1 paper)Nature Microbiology (1 paper)Journal of Biophotonics (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Tie Xia
27 papers receiving 834 citations
Peers
Comparison fields: 5 of 98
- Biophysics 118
- Structural Biology 21
- Hepatology 77
- Cell Biology 163
- Immunology and Allergy 38
Countries citing papers authored by Tie Xia
This map shows the geographic impact of Tie Xia'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 Tie Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Xia more than expected).
Fields of papers citing papers by Tie Xia
This network shows the impact of papers produced by Tie Xia. 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 Tie Xia. The network helps show where Tie Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Tie Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 144 | |
| 2 | 2017 | 135 | |
| 3 | 2022 | 91 | |
| 4 | 2020 | 63 | |
| 5 | 2017 | 54 | |
| 6 | 2013 | 50 | |
| 7 | 2011 | 44 | |
| 8 | 2012 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2020 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 18 | |
| 14 | 2013 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2011 | 5 |
About Tie Xia
Tie Xia is a scholar working on Molecular Biology, Cell Biology, Biophysics, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 29 papers that have together received 840 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Force Microscopy Techniques and Applications (4 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cell Adhesion Molecules Research (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biophysics (118 citations), Structural Biology (21 citations), Hepatology (77 citations), Cell Biology (163 citations) and Immunology and Allergy (38 citations). Tie Xia has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaohong Fang, Nan Li, Yan Shi, Yanan Du, Jinghe Yuan, Chenyu Huang, Xiaojun Yan, Zhifeng You, Hongsheng Yu and Longwei Liu. Their work appears in journals such as Journal of Visualized Experiments, International Journal of Environmental Research and Public Health, The Analyst, Nature Microbiology and Journal of Biophotonics.
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.