Weiwen Ge

502 citations
13 papers · 411 · h-index 12

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Neurogenetic and Muscular Disorders Research 7
    • RNA Interference and Gene Delivery 2
    • Muscle Physiology and Disorders 2

Weiwen Ge

13 papers receiving 407 citations

Peers

Weiwen Ge
Comparison fields: 5 of 65
  • Neurology 172
  • Genetics 104
  • Immunology 115
  • Neurology 43
  • Molecular Biology 219
Replace Fuminobu Sugai with:
Fuminobu Sugai Japan
Laura Pasetto Italy
M. Jose Pérez‐García Spain
Julianne Aebischer France
Melissa Osborne United States
Danae Campos‐Melo Canada
Milena Kozovska United States
Christine Bareil Canada
Shinnosuke Takagi Japan
Anna Birve Sweden
Weiwen Ge relative to Fuminobu Sugai Japan Fuminobu Sugai's profile →
Citations per field
00.5×2.9×
Fuminobu Sugai · 1×
Citations per year

Countries citing papers authored by Weiwen Ge

Since Specialization
Citations

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

Fields of papers citing papers by Weiwen Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007111
2 200464
3 200737
4 200631
5 200230
6 200328
7 200424
8 200623
9 200419
10 200216
11 200614
12 200812
13 20222

About Weiwen Ge

Weiwen Ge is a scholar working on Genetics, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Immunology, having authored 13 papers that have together received 411 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Nerve injury and regeneration (3 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (2 papers), Muscle Physiology and Disorders (2 papers), Endodontics and Root Canal Treatments (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Neurology (172 citations), Genetics (104 citations), Immunology (115 citations), Neurology (43 citations) and Molecular Biology (219 citations). Weiwen Ge has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Michael J. Strong, Cheryl Leystra‐Lantz, Weiyan Wen, Wendy Strong, Teresa Sanelli, Robert Zhong, Wei‐Ping Min, Dong Chen, Anthony M. Jevnikar and Dameng Lian. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Neuroscience Research, PROTEOMICS - CLINICAL APPLICATIONS 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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