Yan Gu

5.7k citations
139 papers · 4.1k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Yan Gu

125 papers receiving 4.1k citations

Hit Papers

Microglia mediate forgetting via complement-dependent synaptic elimination 2020 · 415 citations
4152020202620222024100200300400

Peers

Yan Gu
Comparison fields: 5 of 137
  • Developmental Neuroscience 827
  • Neurology 589
  • Cancer Research 785
  • Cellular and Molecular Neuroscience 897
  • Biological Psychiatry 119
Replace Tetsumori Yamashima with:
Tetsumori Yamashima Japan
Michal Hetman United States
Jialing Liu United States
Vivek Swarup United States
Verónica Galván United States
Lijun Xu United States
Benedikt Volk Germany
Aviva M. Tolkovsky United Kingdom
M. Lamar Seibenhener United States
Mariagrazia Grilli Italy
Yan Gu relative to Tetsumori Yamashima Japan Tetsumori Yamashima's profile →
Citations per field
00.5×1.5×2.4×
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 139 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 →
2020415
2 2012400
3 2012334
4 2012236
5 2009227
6 2013203
7 2012150
8 2011116
9 1999108
10 201694
11 200782
12 201778
13 200675
14 199671
15 200866
16 200863
17 201260
18 201252
19 199449
20 200945

About Yan Gu

Yan Gu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cancer Research, Neurology and Behavioral Neuroscience, having authored 139 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Ion channel regulation and function (7 papers), Epigenetics and DNA Methylation (6 papers) and Congenital Heart Disease Studies (6 papers). The work is most often cited by research in Developmental Neuroscience (827 citations), Neurology (589 citations), Cancer Research (785 citations), Cellular and Molecular Neuroscience (897 citations) and Biological Psychiatry (119 citations). Yan Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shaoyu Ge, Stephen Janoschka, Xuchao Xue, Kangkang Zhi, Yang Feng, Luming Zheng, Guoen Fang, Jianwei Bi, Lang Wang and Sumanth D. Prabhu. Their work appears in journals such as Oncology Reports, Scientific Reports, Nature Communications, Cerebral Cortex 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.

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