Chin-Fu Lin

818 citations
28 papers · 621 · h-index 15

Impact in

Papers in

    • Pneumonia and Respiratory Infections 3
    • Mycobacterium research and diagnosis 3
    • Tuberculosis Research and Epidemiology 3
    • Antifungal resistance and susceptibility 1

Chin-Fu Lin

27 papers receiving 607 citations

Peers

Chin-Fu Lin
Comparison fields: 5 of 92
  • Molecular Medicine 149
  • Endocrinology 93
  • Applied Microbiology and Biotechnology 21
  • Infectious Diseases 174
  • Epidemiology 258
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Citations per field
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Citations per year

Countries citing papers authored by Chin-Fu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Fu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chin-Fu 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 Chin-Fu Lin Line = papers co-authored together Chin-Fu 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 201072
2 201261
3
Chryseobacterium meningosepticum infection: antibiotic susceptibility and risk factors for mortality.
200846
4 201643
5 202042
6 201142
7 201342
8 201340
9 201538
10 201233
11 201020
12 201219
13 201218
14 200917
15 201415
16 201413
17 201510
18 20199
19 20148
20 20156

About Chin-Fu Lin

Chin-Fu Lin is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Molecular Biology and Microbiology, having authored 28 papers that have together received 621 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Pneumonia and Respiratory Infections (3 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Bacterial Infections and Vaccines (2 papers), Optical measurement and interference techniques (1 paper), Metal and Thin Film Mechanics (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Molecular Medicine (149 citations), Endocrinology (93 citations), Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (174 citations) and Epidemiology (258 citations). Chin-Fu Lin has collaborated with scholars based in Taiwan, United States and Uganda. Frequent co-authors include Zhi‐Yuan Shi, Tsai‐Ling Liao, Po‐Yu Liu, Der‐Yuan Chen, Gwan‐Han Shen, Yi‐Ming Chen, Hung‐Jen Liu, Yi‐Ching Huang, Shih‐Ping Lin and Ying-Chieh Tsai. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Journal of The Electrochemical Society, mBio, Planta Medica and European Journal of Clinical Microbiology & Infectious Diseases.

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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