Weiyan Wen

509 citations
10 papers · 431 · h-index 9

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Wound Healing and Treatments

Papers in

    • Glycosylation and Glycoproteins Research 1
    • Muscle Physiology and Disorders 1
    • Neurogenetic and Muscular Disorders Research 3

Weiyan Wen

10 papers receiving 424 citations

Peers

Weiyan Wen
Comparison fields: 5 of 74
  • Neurology 121
  • Rehabilitation 52
  • Neurology 64
  • Genetics 71
  • Dermatology 38
Replace Jennifer T. Durham with:
Jennifer T. Durham United States
Benjamin J. Herdrich United States
Grace Yoon Canada
Yukiko Tsuji Japan
Kaari A. Lynch United States
S.S. Bhattacharya United Kingdom
Xiaoju Wang China
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Citations per field
00.5×5.4×
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Citations per year

Countries citing papers authored by Weiyan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Weiyan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Weiyan Wen, 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 Weiyan Wen Line = papers co-authored together Weiyan Wen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201095
2 200278
3 200976
4 200464
5 201134
6 200328
7 200623
8 201518
9 200614
10
Screening and identification of mimotopes for lipopolysaccharide conservative epitope from random phage display peptide library
20011

About Weiyan Wen

Weiyan Wen is a scholar working on Molecular Biology, Genetics, Neurology, Physiology and Neurology, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Adenosine and Purinergic Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Muscle Physiology and Disorders (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (121 citations), Rehabilitation (52 citations), Neurology (64 citations), Genetics (71 citations) and Dermatology (38 citations). Weiyan Wen has collaborated with scholars based in Canada and United States. Frequent co-authors include Douglas W. Hamilton, Michael J. Strong, Bei He, Weiwen Ge, Linda Jackson‐Boeters, Cheryl Leystra‐Lantz, Wendy Strong, Simon J. Conway, Jian Wang and Christopher G. Elliott. Their work appears in journals such as Journal of Cell Communication and Signaling, Journal of Biological Chemistry, Journal of Neuroimmunology, Materials and Journal of Cellular and Molecular Medicine.

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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