Lee-Chung Lin

27 papers receiving 273 citations

Peers

Lee-Chung Lin
Comparison fields: 5 of 61
  • Clinical Biochemistry 54
  • Infectious Diseases 99
  • Public Health, Environmental and Occupational Health 82
  • Microbiology 16
  • Molecular Medicine 12
Replace Camilla K. Lemvigh with:
Camilla K. Lemvigh Denmark
Mateusz Faltyn Canada
Kathleen Ledell United States
Sachin Sharma India
Jacqueline Rurangirwa United States
Kate Dowling Australia
Helen J. Stacey United Kingdom
Rachel Haft United States
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Citations per field
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Camilla K. Lemvigh · 1×
Citations per year

Countries citing papers authored by Lee-Chung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lee-Chung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199339
2 201032
3 201931
4 201518
5 201715
6 201614
7 199911
8 201811
9 201411
10 202110
11 202110
12 20218
13 20198
14 20197
15 20237
16 20226
17 20206
18 20215
19 20215
20 20244

About Lee-Chung Lin

Lee-Chung Lin is a scholar working on Molecular Biology, Infectious Diseases, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Epidemiology, having authored 28 papers that have together received 277 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial biofilms and quorum sensing (15 papers), Bacterial Identification and Susceptibility Testing (12 papers), Streptococcal Infections and Treatments (7 papers), Neonatal and Maternal Infections (5 papers), Pneumonia and Respiratory Infections (4 papers), Biochemical and Structural Characterization (3 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Clinical Biochemistry (54 citations), Infectious Diseases (99 citations), Public Health, Environmental and Occupational Health (82 citations), Microbiology (16 citations) and Molecular Medicine (12 citations). Lee-Chung Lin has collaborated with scholars based in Taiwan, South Korea and Philippines. Frequent co-authors include Jang‐Jih Lu, Shih‐Cheng Chang, Tsui-Ping Liu, Ming-Horng Tsai, Mei‐Yin Lai, Jen‐Fu Hsu, Ming‐Chou Chiang, Hsuan‐Rong Huang, Chao‐Jung Chen and Hsiao‐Chuan Lin. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Molecular Sciences, Infection and Drug Resistance, Diagnostic Microbiology and Infectious Disease and Microbiology Spectrum.

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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