Xiaosu Li

1.1k citations
34 papers · 664 · h-index 16

Impact in

Papers in

Xiaosu Li

33 papers receiving 662 citations

Peers

Xiaosu Li
Comparison fields: 5 of 90
  • Developmental Neuroscience 242
  • Neurology 87
  • Cellular and Molecular Neuroscience 126
  • Aging 11
  • Cancer Research 75
Replace Laura K. Hamilton with:
Laura K. Hamilton Canada
Violeta Visan Germany
Francesca Telese United States
Elissa J. Donzis United States
Irene Mazzoni Canada
Mengting Zhao China
Emilia Komulainen United Kingdom
Jianfeng Liang China
Andrzej Swistowski United States
Vincent Tse United States
Xiaosu Li relative to Laura K. Hamilton Canada Laura K. Hamilton's profile →
Citations per field
00.5×4.7×
Laura K. Hamilton · 1×
Citations per year

Countries citing papers authored by Xiaosu Li

Since Specialization
Citations

This map shows the geographic impact of Xiaosu 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 Xiaosu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosu Li more than expected).

Fields of papers citing papers by Xiaosu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaosu 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 Xiaosu Li. The network helps show where Xiaosu Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaosu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaosu Li Line = papers co-authored together Xiaosu Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 202180
3 202050
4 202150
5 202141
6 202331
7 201527
8 201424
9 201124
10 202121
11 201620
12 202120
13 199720
14 201619
15 201918
16 202317
17 202015
18 202113
19 201812
20 202110

About Xiaosu Li

Xiaosu Li is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Cancer Research and Neurology, having authored 34 papers that have together received 664 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (11 papers), Developmental Biology and Gene Regulation (7 papers), MicroRNA in disease regulation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurobiology and Insect Physiology Research (4 papers), Cancer-related molecular mechanisms research (4 papers), Plant Molecular Biology Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (242 citations), Neurology (87 citations), Cellular and Molecular Neuroscience (126 citations), Aging (11 citations) and Cancer Research (75 citations). Xiaosu Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengang Yang, Zhenmeiyu Li, Guoping Liu, Lin Yang, Yan You, Zhejun Xu, Sijun Zhu, Tong Ma, Zhuangzhi Zhang and Fang Liu. Their work appears in journals such as Development, Neuroscience Bulletin, Protein & Cell, Journal of Neuroscience and Molecular Neurobiology.

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.

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