Liang Jin
- Molecular Biology
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Neurology top 5%
- Co-authors
- Klara NahrstedtJoseph A. NicolazzoIndranil GuptaRaghu VemugantiKellie K. BowenKudret TüreyenXiaohui MaHe Zhang
- Topics
- Advanced Fiber Laser Technologies (20 papers)Photonic Crystal and Fiber Optics (19 papers)Alzheimer's disease research and treatments (17 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Liang Jin
131 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 559
- Computer Networks and Communications 356
- Electrical and Electronic Engineering 268
- Atomic and Molecular Physics, and Optics 240
- Neurology 192
Countries citing papers authored by Liang Jin
This map shows the geographic impact of Liang Jin'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 Liang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Jin more than expected).
Fields of papers citing papers by Liang Jin
This network shows the impact of papers produced by Liang Jin. 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 Liang Jin. The network helps show where Liang Jin may publish in the future.
Co-authorship network of co-authors of Liang Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jin. A scholar is included among the top collaborators of Liang Jin 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 Liang Jin. Liang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | Citrullination of Amyloid-beta Peptides in Alzheimer's Disease | 3 |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | Cloning and expression analysis of two grape GID (Gibberellin insensitive dwarf) genes | 1 |
| 19 | Cloning of carnation GA20-oxidase gene and construction of plant RNAi vector. | 1 |
| 20 | Development of new type of U joint applied in spun pile | 1 |
About Liang Jin
Liang Jin is a scholar working on Neurology, Pharmaceutical Science and Acoustics and Ultrasonics, having authored 148 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (20 papers), Photonic Crystal and Fiber Optics (19 papers) and Alzheimer's disease research and treatments (17 papers). The work is most often cited by research in Neurology (192 citations), Pharmaceutical Science (139 citations) and Computer Networks and Communications (356 citations). Liang Jin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Klara Nahrstedt, Joseph A. Nicolazzo, Indranil Gupta, Raghu Vemuganti, Kellie K. Bowen, Kudret Türeyen, Xiaohui Ma, He Zhang, Long Vu and Raymond S. Norton. Their work appears in journals such as Journal of Biological Chemistry, Advanced Functional Materials and NeuroImage.
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.