Fan Gao

14.0k citations
123 papers · 7.8k indexed · 6 hit papers · h-index 38

Fan Gao

122 papers receiving 7.7k citations

Hit Papers

Modular, efficient and constant-memory...19920152026201820224008001.2k

Peers

Fan Gao
Comparison fields: 5 of 149
  • Neurology 1.6k
  • Cellular and Molecular Neuroscience 2.5k
  • Biological Psychiatry 287
  • Developmental Neuroscience 316
  • Molecular Biology 4.5k
Replace Jennifer I. Luebke with:
Jennifer I. Luebke United States
Henry J. Waldvogel New Zealand
Heng‐Ye Man United States
Bryce Vissel Australia
Nathalie Rouach France
Olga Garaschuk Germany
Gilles Bonvento France
Jill Richardson United Kingdom
Igor Allaman Switzerland
Fan Gao relative to Jennifer I. Luebke United States Jennifer I. Luebke's profile →
Citations per field
00.5×3.7×
Jennifer I. Luebke · 1×
Citations per year

Countries citing papers authored by Fan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20232
3 20231
4 202311
5 202314
6 202230
7 202245
8 202158
9 2020157
10 202087
11 201911
12 201731
13
Gamma frequency entrainment attenuates amyloid load and modifies microglia
20163
14
Morphological and physiological diversity of retinal ganglion cells in the vertebrate retina
20161
15 201314
16 201319
17 20102
18 200967
19 200751
20 200469

About Fan Gao

Fan Gao is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Neurology, having authored 123 papers that have together received 7.8k indexed citations. Recurring topics across this work include Retinal Development and Disorders (30 papers), Photoreceptor and optogenetics research (27 papers), Neuroscience and Neuropharmacology Research (26 papers), Receptor Mechanisms and Signaling (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Single-cell and spatial transcriptomics (10 papers), Epigenetics and DNA Methylation (10 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Neurology (1.6k citations), Cellular and Molecular Neuroscience (2.5k citations) and Biological Psychiatry (287 citations). Fan Gao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Samuel M. Wu, Ji‐Jie Pang, Li‐Huei Tsai, Jennie Z. Young, Anthony J. Martorell, Chinnakkaruppan Adaikkan, Fatema Abdurrob, Manolis Kellis, Richard M. Ransohoff and Hansruedi Mathys. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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