Yajie Liang
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 13
- Cell Image Analysis Techniques 6
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Structural Biology top 2%
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 9
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- Neuroscience and Neuropharmacology Research 6
- Nerve injury and regeneration 5
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- 3D Printing in Biomedical Research 7
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- Lanthanide and Transition Metal Complexes 6
- Co-authors
- Na JiPiotr WalczakJeff W. M. BulteOlga GaraschukRongwen LuRonak PatelJ. J. MacklinLuke D. Lavis
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)Nature Communications (2 papers)
- 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
- Neurology 727
- Structural Biology 73
- Developmental Neuroscience 203
- Cellular and Molecular Neuroscience 766
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
The 25 scholars most cited alongside Yajie Liang, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 37 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 57 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 47 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 5 | |
| 14 | A general method to fine-tune fluorophores for live-cell and in vivo imagingbreakdown → | 2017 | 477 |
| 15 | 2017 | 183 | |
| 16 | 2015 | 25 | |
| 17 | 2014 | 280 | |
| 18 | 2014 | 63 | |
| 19 | 2012 | 25 | |
| 20 | 2007 | 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), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), 3D Printing in Biomedical Research (7 papers), Cell Image Analysis Techniques (6 papers), Lanthanide and Transition Metal Complexes (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Nerve injury and regeneration (5 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.