Wei‐Lin Wan

1.7k citations
17 papers · 1.0k · h-index 14

Impact in

Papers in

    • Plant-Microbe Interactions and Immunity 6
    • Plant Parasitism and Resistance 3
    • Legume Nitrogen Fixing Symbiosis 3
    • Nanoplatforms for cancer theranostics 5

Wei‐Lin Wan

16 papers receiving 1.0k citations

Peers

Wei‐Lin Wan
Comparison fields: 5 of 97
  • Developmental Neuroscience 58
  • Biomaterials 156
  • Biomedical Engineering 474
  • Biochemistry 76
  • Rehabilitation 58
Replace Amin Liu with:
Amin Liu China
Elham Hoveizi Iran
Junrong Wu China
Baiwen Luo Singapore
Zhihui Han China
Yuan Ma China
Guangwei Sun China
Zhuobin Xu China
Zohreh Alizadeh Iran
Luyao Sun China
Wei‐Lin Wan relative to Amin Liu China Amin Liu's profile →
Citations per field
00.5×7.7×
Amin Liu · 1×
Citations per year

Countries citing papers authored by Wei‐Lin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Lin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Lin Wan. 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 Wei‐Lin Wan. The network helps show where Wei‐Lin Wan may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015164
2 2017162
3 2016158
4 2020104
5 201775
6 201973
7 201871
8 201864
9 201744
10 201634
11 202032
12 201816
13 201614
14 202013
15 20163
16
[Clinical review of enteral feeding of extremely low birth weight infants].
20112
17 20250

About Wei‐Lin Wan

Wei‐Lin Wan is a scholar working on Plant Science, Biomedical Engineering, Surgery, Molecular Biology and Developmental Neuroscience, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (6 papers), Nanoplatforms for cancer theranostics (5 papers), Hydrogen's biological and therapeutic effects (4 papers), Plant Parasitism and Resistance (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Sulfur Compounds in Biology (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (58 citations), Biomaterials (156 citations), Biomedical Engineering (474 citations), Biochemistry (76 citations) and Rehabilitation (58 citations). Wei‐Lin Wan has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Hsing‐Wen Sung, Yu‐Jung Lin, Wei‐Tso Chia, Chieh‐Cheng Huang, Yen Chang, M. Chung, Chiranjeevi Korupalli, Wei-Chih Lin, Meng‐Ju Li and Wen-Yu Pan. Their work appears in journals such as Biomaterials, New Phytologist, Journal of the American Chemical Society, Angewandte Chemie International Edition and Molecular Cell.

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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