Qingli Xiao
- Physiology top 2%
- Molecular Biology
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Jin‐Moo LeePing YanJohn R. CirritoDavid M. HoltzmanXiao HuJan XuChung Y. HsuErnesto R. Gonzales
- Topics
- Alzheimer's disease research and treatments (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Qingli Xiao
24 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Physiology 1.2k
- Molecular Biology 638
- Neurology 634
- Cellular and Molecular Neuroscience 382
- Epidemiology 291
Countries citing papers authored by Qingli Xiao
This map shows the geographic impact of Qingli Xiao'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 Qingli Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingli Xiao more than expected).
Fields of papers citing papers by Qingli Xiao
This network shows the impact of papers produced by Qingli Xiao. 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 Qingli Xiao. The network helps show where Qingli Xiao may publish in the future.
Co-authorship network of co-authors of Qingli Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Qingli Xiao. A scholar is included among the top collaborators of Qingli Xiao 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 Qingli Xiao. Qingli Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 0 | |
| 3 | 47 | |
| 4 | 12 | |
| 5 | 36 | |
| 6 | 31 | |
| 7 | 186 | |
| 8 | 39 | |
| 9 | 222 | |
| 10 | 127 | |
| 11 | 16 | |
| 12 | 211 | |
| 13 | 28 | |
| 14 | 32 | |
| 15 | 61 | |
| 16 | 307 | |
| 17 | 302 | |
| 18 | 14 | |
| 19 | [Identification of functional region of helicase gene promoter in Bombyx mori nuclear polyhedrosis virus]. | 1 |
| 20 | Functional Analysis of Helicase Gene Promoter and Homologous Region 3 Enhancer in Bombyx mori Nuclear Polyhedrosis Virus. | 6 |
About Qingli Xiao
Qingli Xiao is a scholar working on Neurology, Physiology and Biological Psychiatry, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Neurology (634 citations), Biological Psychiatry (173 citations) and Physiology (1.2k citations). Qingli Xiao has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jin‐Moo Lee, Ping Yan, John R. Cirrito, David M. Holtzman, Xiao Hu, Jan Xu, Chung Y. Hsu, Ernesto R. Gonzales, Yan Wang and Ronaldo Perez. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.
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.