Juey‐Wen Lin

485 citations
27 papers · 434 indexed · h-index 12
Topics
Bacteriophages and microbial interactions (10 papers)Plant Pathogenic Bacteria Studies (9 papers)Genomics and Phylogenetic Studies (9 papers)

In The Last Decade

Juey‐Wen Lin

27 papers receiving 430 citations

Peers

Juey‐Wen Lin
Comparison fields: 5 of 50
  • Ecology 255
  • Molecular Biology 201
  • Plant Science 158
  • Endocrinology 118
  • Microbiology 111
Replace Gustavo Di Lallo with:
Gustavo Di Lallo Italy
Leandra E. Knecht Switzerland
Luis Kameyama Mexico
Arun Nanda Germany
Geoffrey Hutinet United States
Julien Lossouarn France
Malwina Richert Poland
Elhanan Tzipilevich Israel
Peter V. Evseev Russia
Lidija Truncaitė Lithuania
Juey‐Wen Lin relative to Gustavo Di Lallo Italy Gustavo Di Lallo's profile →
Citations per field
00.5×1.5×2.2×
Gustavo Di Lallo · 1×
Citations per year

Countries citing papers authored by Juey‐Wen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Juey‐Wen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juey‐Wen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Juey‐Wen Lin. A scholar is included among the top collaborators of Juey‐Wen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juey‐Wen Lin. Juey‐Wen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 8
3 20
4 11
5 28
6 26
7 25
8 6
9 2
10 8
11 11
12 15
13 13
14 8
15
Isolation of cDNA clones for genes that are specifically expressed in the rice embryo
4
16 6
17 5
18 2
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Characterization of the 1.8-kb plasmid pXV64 from Xanthomonas campestris pv. vesicatoria
3
20 19

About Juey‐Wen Lin

Juey‐Wen Lin is a scholar working on Endocrinology, Molecular Medicine and Microbiology, having authored 27 papers that have together received 434 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Plant Pathogenic Bacteria Studies (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Endocrinology (118 citations), Microbiology (111 citations) and Molecular Medicine (52 citations). Juey‐Wen Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shu-Fen Weng, Yi-Hsiung Tseng, Chiy‐Rong Chen, Kai‐Ming Chang, Gwan‐Han Shen, Tsai‐Tien Tseng, Yih-Yuan Chen, Huiyi Chen, Ching‐Hsuan Lin and Chi‐I Chang. Their work appears in journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Antimicrobial Agents and Chemotherapy.

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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