Wei-Chen Lin

1.2k citations
64 papers · 930 · h-index 18

Impact in

    • Legionella and Acanthamoeba research
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics

Papers in

    • Bacterial biofilms and quorum sensing 10
    • Heme Oxygenase-1 and Carbon Monoxide 6
    • Advanced biosensing and bioanalysis techniques 4
    • Legionella and Acanthamoeba research 21

Wei-Chen Lin

61 papers receiving 912 citations

Peers

Wei-Chen Lin
Comparison fields: 5 of 114
  • Endocrinology 225
  • Parasitology 139
  • Microbiology 83
  • Cancer Research 100
  • Molecular Biology 404
Replace T. Kobayashi with:
T. Kobayashi Japan
Reed Pifer United States
Jérôme Bouquet United States
Jin Young Heo South Korea
Jung‐Mi Kang South Korea
Yanfeng Yan China
Cindi R. Corbett Canada
Franklin Wang‐Ngai Chow Hong Kong
Jason Inman United States
Wei-Chen Lin relative to T. Kobayashi Japan T. Kobayashi's profile →
Citations per field
00.5×2×2.5×
T. Kobayashi · 1×
Citations per year

Countries citing papers authored by Wei-Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201080
2 200572
3 200961
4 201256
5 201652
6 201938
7 201337
8 201831
9 201529
10 201128
11 202127
12 201725
13 201720
14 201919
15 200918
16 201518
17 201218
18 201218
19 201217
20 201416

About Wei-Chen Lin

Wei-Chen Lin is a scholar working on Molecular Biology, Endocrinology, Parasitology, Microbiology and Immunology, having authored 64 papers that have together received 930 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (21 papers), Bacterial biofilms and quorum sensing (10 papers), Parasitic Infections and Diagnostics (8 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Reproductive tract infections research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Ocular Infections and Treatments (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Endocrinology (225 citations), Parasitology (139 citations), Microbiology (83 citations), Cancer Research (100 citations) and Molecular Biology (404 citations). Wei-Chen Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jyh-Wei Shin, Po-Jung Huang, Petrus Tang, Jian Huang, Edwin Swiatlo, Daphne Ware, Ying Jiang, Yu‐Ta Chen, Chien-Sheng Liu and Ping-Chiang Lyu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Molecules, Parasitology Research, Experimental Parasitology and Genomics.

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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