Mingjie Li
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 5%
- Biomedical Engineering
- Co-authors
- Xue HanGabriel M. BelfortBrian Y. ChowPatrick E. MonahanAmy S. ChuongEdward S. BoydenAllison S. DobryYingxi Lin
- Topics
- Enzyme Catalysis and Immobilization (4 papers)Electrochemical sensors and biosensors (3 papers)Gut microbiota and health (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mingjie Li
46 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 880
- Molecular Biology 581
- Cognitive Neuroscience 494
- Endocrine and Autonomic Systems 230
- Biomedical Engineering 191
Countries citing papers authored by Mingjie Li
This map shows the geographic impact of Mingjie Li'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 Mingjie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjie Li more than expected).
Fields of papers citing papers by Mingjie Li
This network shows the impact of papers produced by Mingjie Li. 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 Mingjie Li. The network helps show where Mingjie Li may publish in the future.
Co-authorship network of co-authors of Mingjie Li
This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie Li. A scholar is included among the top collaborators of Mingjie Li 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 Mingjie Li. Mingjie Li 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 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 45 | |
| 13 | 18 | |
| 14 | Identification and expression analysis of leucine-rich repeat receptor-like kinase family reveals the roles of resistance proteins during formation of replant disease in Rehmannia glutinosa. | 2 |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 66 | |
| 18 | 184 | |
| 19 | 13 | |
| 20 | High-performance genetically targetable optical neural silencing by light-driven proton pumpsbreakdown → | 875 |
About Mingjie Li
Mingjie Li is a scholar working on Virology, Cell Biology and Neurology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (4 papers), Electrochemical sensors and biosensors (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (880 citations), Endocrine and Autonomic Systems (230 citations) and Cognitive Neuroscience (494 citations). Mingjie Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xue Han, Gabriel M. Belfort, Brian Y. Chow, Patrick E. Monahan, Amy S. Chuong, Edward S. Boyden, Allison S. Dobry, Yingxi Lin, Xiaofeng Qian and Michael Henninger. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Blood.
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.