Yu Sun

6.5k citations
100 papers · 4.7k · 2 hit papers · h-index 33

Impact in

Papers in

Yu Sun

98 papers receiving 4.7k citations

Yu Sun's Hit Papers

Capillary-associated microglia regulate vascular structure and function through PANX1-P2RY12 coupling in mice 2021 · 203 citations
2030+7+14Years since publication4008001.2k

Peers

Yu Sun
Comparison fields: 5 of 120
  • Developmental Neuroscience 1.1k
  • Neurology 950
  • Biological Psychiatry 115
  • Genetics 467
  • Cellular and Molecular Neuroscience 745
Replace Ping Wei with:
Ping Wei China
R. Anne Stetler United States
Hao Yang China
Julia Herrmann Germany
Eun-hye Joe South Korea
Masakiyo Sasahara Japan
Jong Kil Lee South Korea
Roberta Brambilla United States
Arabinda Das United States
Yu Sun relative to Ping Wei China Ping Wei's profile →
Citations per field
00.5×1.5×1.8×
Ping Wei · 1×
Citations per year

Countries citing papers authored by Yu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Sun, 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 Yu Sun Line = papers co-authored together Yu Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Endothelial Cells Stimulate Self-Renewal and Expand Neurogenesis of Neural Stem Cells
Hit paper breakdown →
20041215
2 2010299
3
Capillary-associated microglia regulate vascular structure and function through PANX1-P2RY12 coupling in mice
Hit paper breakdown →
2021203
4 2007193
5 2020179
6 2005165
7 2016162
8 201597
9 201194
10 201688
11 200688
12 201786
13 202084
14 201375
15 200765
16 201462
17 201352
18 201649
19 201148
20 202147

About Yu Sun

Yu Sun is a scholar working on Molecular Biology, Neurology, Epidemiology, Immunology and Genetics, having authored 100 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Acute Ischemic Stroke Management (11 papers), Immune Response and Inflammation (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neonatal and fetal brain pathology (7 papers), Retinal Diseases and Treatments (4 papers), Immune cells in cancer (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Neurology (950 citations), Biological Psychiatry (115 citations), Genetics (467 citations) and Cellular and Molecular Neuroscience (745 citations). Yu Sun has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Susan K. Goderie, Sally Temple, Qin Shen, Kevin Pumiglia, Jin Li, Peter Vincent, Nithin Karanth, Natalia E. Abramova, Chia-Yi Kuan and Yi‐Hsuan Lee. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Stroke, Biomedicine & Pharmacotherapy and Journal of Visualized Experiments.

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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