Ge� Xiao

1.7k citations
18 papers · 1.4k indexed · 1 hit paper · h-index 12
Topics
Nerve injury and regeneration (5 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)Bioactive Compounds and Antitumor Agents (2 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Ge� Xiao

18 papers receiving 1.4k citations

Hit Papers

A selective TrkB agonist with potent neurotrophic activit...20102026201520202010100200300400500

Peers

Ge� Xiao
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 596
  • Molecular Biology 480
  • Developmental Neuroscience 285
  • Physiology 198
  • Organic Chemistry 179
Replace Hong Jin with:
Hong Jin United States
Jane E. Cavanaugh United States
Anton Pekcec Germany
Sarika Singh India
Ricardo Augusto de Melo Reis Brazil
Elżbieta Salińska Poland
Jarin Hongpaisan United States
Weiqiang Chen Austria
Patricia C. Contreras United States
Neelima B. Chauhan United States
Ge� Xiao relative to Hong Jin United States Hong Jin's profile →
Citations per field
00.5×1.7×
Hong Jin · 1×
Citations per year

Countries citing papers authored by Ge� Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ge� Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ge� Xiao. 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 Ge� Xiao. The network helps show where Ge� Xiao may publish in the future.

Co-authorship network of co-authors of Ge� Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ge� Xiao. A scholar is included among the top collaborators of Ge� Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ge� Xiao. Ge� Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 8
3 4
4 15
5 20
6 62
7 21
8 9
9 50
10
A selective TrkB agonist with potent neurotrophic activities by 7,8-dihydroxyflavonebreakdown →
550
11 171
12 85
13 110
14 120
15 1
16
Effects of L-tetrahydropalmatine on opioid peptides contents in morphine dependent rats
1
17 49
18 98

About Ge� Xiao

Ge� Xiao is a scholar working on Developmental Neuroscience, Toxicology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Developmental Neuroscience (285 citations), Cellular and Molecular Neuroscience (596 citations) and Biological Psychiatry (74 citations). Ge� Xiao has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Keqiang Ye, Xia Liu, Sung‐Wuk Jang, W. David Wilson, Bruno Blanchi, Kennie R. Shepherd, Yi Eve Sun, Gary W. Miller, Manuel Yepes and Yang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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