Xijin Ge

11.1k citations
59 papers · 6.0k indexed · 2 hit papers · h-index 26
    • Gene expression and cancer classification 9
    • Bioinformatics and Genomic Networks 9
    • Genomics and Chromatin Dynamics 6
    • Molecular Biology Techniques and Applications 5
    • RNA Research and Splicing 5
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 4
    • Plant Virus Research Studies 10
  • Aging top 5%

Xijin Ge

59 papers receiving 5.9k citations

Hit Papers

ShinyGO: a graphical gene-set enrichment tool for animals...2.7k201820262020202350010001.5k2.0k2.5k

Peers

Xijin Ge
Comparison fields: 5 of 167
  • Endocrinology 325
  • Cancer Research 801
  • Molecular Biology 3.0k
  • Plant Science 1.5k
  • Aging 67
Replace Atsushi Takeda with:
Atsushi Takeda Japan
Joseph M. Paggi United States
Roger S. Lasken United States
Luan Wang China
Agnes P. Chan United States
Michael Mindrinos United States
Tsutomu Katayama Japan
Ryan Kelley United States
Lukas Käll Sweden
Gary C. Hon United States
Xijin Ge relative to Atsushi Takeda Japan Atsushi Takeda's profile →
Citations per field
00.5×10×13×
Atsushi Takeda · 1×
Citations per year

Countries citing papers authored by Xijin Ge

Since Specialization
Citations

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

Fields of papers citing papers by Xijin Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 202511
3 20221
4 20216
5 202017
6
Glycyrrhizic Acid Inhibits Proliferation of Gastric Cancer Cells by Inducing Cell Cycle Arrest and Apoptosis
20204
7
ShinyGO: a graphical gene-set enrichment tool for animals and plantsbreakdown →
20192659
8 20142
9 201339
10 20129
11 20115
12 201055
13 200829
14 20057
15 200583
16 2005205
17 2004191
18 20028
19 199826
20 199543

About Xijin Ge

Xijin Ge is a scholar working on Aging, Plant Science and Molecular Biology, having authored 59 papers that have together received 6.0k indexed citations. Recurring topics across this work include Plant Virus Research Studies (10 papers), Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Chromatin Dynamics (6 papers), Molecular Biology Techniques and Applications (5 papers), RNA Research and Splicing (5 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Endocrinology (325 citations), Cancer Research (801 citations) and Molecular Biology (3.0k citations). Xijin Ge has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Runan Yao, Dongmin Jung, Eun Son, Vicki Vance, Hiroyuki Aburatani, Xingming Shi, James C. Carrington, S. W. Scott, San Ming Wang and Tatsuhiko Kodama. Their work appears in journals such as Nature, Advanced Materials and Journal of Biological Chemistry.

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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