Yan Gu

5.8k citations
142 papers · 4.4k · 1 hit paper · h-index 31

Impact in

Papers in

Yan Gu

131 papers receiving 4.4k citations

Yan Gu's Hit Papers

Microglia mediate forgetting via complement-dependent synaptic elimination 2020 · 440 citations
4400+2+4Years since publication100200300400

Peers

Yan Gu
Comparison fields: 5 of 135
  • Developmental Neuroscience 837
  • Neurology 562
  • Cancer Research 785
  • Cellular and Molecular Neuroscience 890
  • Biological Psychiatry 107
Replace Tetsumori Yamashima with:
Tetsumori Yamashima Japan
Michal Hetman United States
Marie Futter United States
Jialing Liu United States
Vivek Swarup United States
Lennart Opitz Switzerland
Benedikt Volk Germany
Carlos P. Fitzsimons Netherlands
Verónica Galván United States
M. Lamar Seibenhener United States
Yan Gu relative to Tetsumori Yamashima Japan Tetsumori Yamashima's profile →
Citations per field
00.5×3.1×
Tetsumori Yamashima · 1×
Citations per year

Countries citing papers authored by Yan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microglia mediate forgetting via complement-dependent synaptic elimination
Hit paper breakdown →
2020440
2 2012423
3 2012350
4 2012237
5 2009236
6 2013205
7 2012156
8 2011120
9 1999112
10 2016105
11 201989
12 200784
13 201782
14 200679
15 199672
16 200867
17 200863
18 201261
19 201255
20 199451

About Yan Gu

Yan Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Cognitive Neuroscience and Developmental Neuroscience, having authored 142 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), RNA modifications and cancer (9 papers), MicroRNA in disease regulation (8 papers), Ion channel regulation and function (7 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (837 citations), Neurology (562 citations), Cancer Research (785 citations), Cellular and Molecular Neuroscience (890 citations) and Biological Psychiatry (107 citations). Yan Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shaoyu Ge, Stephen Janoschka, Lang Wang, Xuchao Xue, Kangkang Zhi, Guoen Fang, Luming Zheng, Jianwei Bi, Sumanth D. Prabhu and Jia Wang. Their work appears in journals such as Scientific Reports, Oncology Reports, Journal of Neuroscience, Nature Communications and Cerebral Cortex.

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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