Yuan Ge

2.1k total citations
35 papers, 1.6k citations indexed

About

Yuan Ge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yuan Ge has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Yuan Ge's work include Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cell death mechanisms and regulation (3 papers). Yuan Ge is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cell death mechanisms and regulation (3 papers). Yuan Ge collaborates with scholars based in China, Canada and United States. Yuan Ge's co-authors include Yu Tian Wang, Patrick Gallois, Ann Marie Craig, Tak Pan Wong, John G. Howland, Anthony G. Phillips, Laurent Bonneau, Georgina E. Drury, Debomoy K. Lahiri and Rosemary C. Bagot and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yuan Ge

32 papers receiving 1.6k citations

Peers

Yuan Ge
Comparison fields: 5 of 102
  • Molecular Biology 737
  • Cellular and Molecular Neuroscience 691
  • Cognitive Neuroscience 274
  • Physiology 227
  • Plant Science 221
Replace Katsunori Kobayashi with:
Katsunori Kobayashi Japan
David S. Reynolds United Kingdom
Massimiliano Beltramo France
Jerzy W. Mozrzymas Poland
Tarek Z. Deeb United States
Tsuyoshi Yamaguchi Japan
Iustin V. Tabarean United States
Lúcia Vinadé Brazil
Hai‐Ying Zhang United States
Francisco J. Monje Austria
Katsunori Kobayashi Japan View profile →
Citations per field, relative to Yuan Ge
Yuan Ge · 1×
Citations per year, relative to Yuan Ge
Yuan Ge · 1×

Countries citing papers authored by Yuan Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Ge. A scholar is included among the top collaborators of Yuan Ge 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 Yuan Ge. Yuan Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 1
6 61
7 9
8 8
9 16
10 34
11 26
12 2
13 115
14 50
15 79
16 73
17 19
18 25
19 165
20 106

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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