Mei‐Wei Lin

545 citations
16 papers · 411 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 10
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • Pluripotent Stem Cells Research 2
    • Advanced biosensing and bioanalysis techniques 1
    • Virus-based gene therapy research 2
    • Animal Genetics and Reproduction 2

Mei‐Wei Lin

15 papers receiving 409 citations

Peers

Mei‐Wei Lin
Comparison fields: 5 of 70
  • Business and International Management 15
  • Aging 11
  • Molecular Biology 294
  • Genetics 75
  • Biomaterials 29
Replace Qurrat Ul Ain with:
Qurrat Ul Ain South Korea
Farzaneh Moghadam United States
Diana D. Kang United States
Aditi Mehta Germany
Chenya Zhuo China
Alişan Kayabölen Türkiye
Francesco Aulicino United Kingdom
Xuehui Rui China
Gary D. Botimer United States
Mei‐Wei Lin relative to Qurrat Ul Ain South Korea Qurrat Ul Ain's profile →
Citations per field
00.5×1.5×1.9×
Qurrat Ul Ain · 1×
Citations per year

Countries citing papers authored by Mei‐Wei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Wei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201859
2 201855
3 201955
4 201953
5 202045
6 201928
7 201726
8 201820
9 202420
10 202019
11 202111
12 20168
13 20217
14 20213
15 20232
16
Role of Tole in Vibrio vulnificus Virulence in Mice
20010

About Mei‐Wei Lin

Mei‐Wei Lin is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Virus-based gene therapy research (2 papers), Viral Infections and Immunology Research (2 papers), Pluripotent Stem Cells Research (2 papers), Animal Genetics and Reproduction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Business and International Management (15 citations), Aging (11 citations), Molecular Biology (294 citations), Genetics (75 citations) and Biomaterials (29 citations). Mei‐Wei Lin has collaborated with scholars based in Taiwan, Vietnam and United States. Frequent co-authors include Yu‐Chen Hu, Mu‐Nung Hsu, Chih‐Che Shen, Vu Anh Truong, Yu‐Han Chang, Jih Ru Hwu, Chin‐Yu Lin, Shiaw‐Min Hwang, Chi‐Shiun Chiang and Li‐Yu Sung. Their work appears in journals such as Nucleic Acids Research, ACS Synthetic Biology, Journal of the Taiwan Institute of Chemical Engineers, Molecular Therapy and Biomaterials.

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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