Yajie Liang
- Biophysics top 0.2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Biomedical Engineering top 5%
- Co-authors
- Na JiPiotr WalczakJeff W. M. BulteOlga GaraschukRongwen LuRonak PatelJ. J. MacklinLuke D. Lavis
- Topics
- Advanced Fluorescence Microscopy Techniques (13 papers)Neurogenesis and neuroplasticity mechanisms (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yajie Liang
69 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Biophysics 906
- Molecular Biology 840
- Cellular and Molecular Neuroscience 766
- Neurology 727
- Biomedical Engineering 640
Countries citing papers authored by Yajie Liang
This map shows the geographic impact of Yajie Liang'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 Yajie Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajie Liang more than expected).
Fields of papers citing papers by Yajie Liang
This network shows the impact of papers produced by Yajie Liang. 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 Yajie Liang. The network helps show where Yajie Liang may publish in the future.
Co-authorship network of co-authors of Yajie Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Yajie Liang. A scholar is included among the top collaborators of Yajie Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yajie Liang. Yajie Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 57 | |
| 10 | 14 | |
| 11 | 47 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | A general method to fine-tune fluorophores for live-cell and in vivo imagingbreakdown → | 477 |
| 15 | 183 | |
| 16 | 25 | |
| 17 | 280 | |
| 18 | 63 | |
| 19 | 25 | |
| 20 | 80 |
About Yajie Liang
Yajie Liang is a scholar working on Biophysics, Developmental Neuroscience and Neurology, having authored 74 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). The work is most often cited by research in Biophysics (906 citations), Neurology (727 citations) and Structural Biology (73 citations). Yajie Liang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Na Ji, Piotr Walczak, Jeff W. M. Bulte, Olga Garaschuk, Rongwen Lu, Ronak Patel, J. J. Macklin, Luke D. Lavis, Anand K. Muthusamy and Jonathan B. Grimm. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.