Li‐Chin Lu
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 10
- Pneumonia and Respiratory Infections 4
- Sepsis Diagnosis and Treatment 4
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- Antimicrobial Resistance in Staphylococcus 5
- COVID-19 Clinical Research Studies 4
- Co-authors
- Shao‐Huan Lan (33 shared papers)Chih‐Cheng Lai (22 shared papers)Shen-Peng Chang (22 shared papers)Shou‐Jen Lan (7 shared papers)Jong‐Chen Chen (5 shared papers)Yen‐Ping Hsieh (7 shared papers)Chien‐Ming Chao (10 shared papers)Wei‐Ting Lin (12 shared papers)
In The Last Decade
Li‐Chin Lu
32 papers receiving 422 citations
Peers
Comparison fields: 5 of 106
- Applied Microbiology and Biotechnology 36
- Molecular Medicine 56
- Critical Care and Intensive Care Medicine 27
- Infectious Diseases 92
- Clinical Biochemistry 33
Countries citing papers authored by Li‐Chin Lu
This map shows the geographic impact of Li‐Chin Lu'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 Li‐Chin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Chin Lu more than expected).
Fields of papers citing papers by Li‐Chin Lu
This network shows the impact of papers produced by Li‐Chin Lu. 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 Li‐Chin Lu. The network helps show where Li‐Chin Lu may publish in the future.
Co-authors
The 24 scholars most cited alongside Li‐Chin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 55 | |
| 2 | 2017 | 47 | |
| 3 | 2019 | 38 | |
| 4 | 2020 | 32 | |
| 5 | 2019 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Li‐Chin Lu
Li‐Chin Lu is a scholar working on Epidemiology, Infectious Diseases, Neurology, Clinical Biochemistry and Critical Care and Intensive Care Medicine, having authored 36 papers that have together received 434 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Long-Term Effects of COVID-19 (4 papers), Pneumonia and Respiratory Infections (4 papers), COVID-19 Clinical Research Studies (4 papers), Streptococcal Infections and Treatments (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Nosocomial Infections in ICU (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (36 citations), Molecular Medicine (56 citations), Critical Care and Intensive Care Medicine (27 citations), Infectious Diseases (92 citations) and Clinical Biochemistry (33 citations). Li‐Chin Lu has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Shao‐Huan Lan, Chih‐Cheng Lai, Shen-Peng Chang, Shou‐Jen Lan, Jong‐Chen Chen, Yen‐Ping Hsieh, Chien‐Ming Chao, Wei‐Ting Lin, Long‐Yau Lin and Shun‐Hsing Hung. Their work appears in journals such as Medicine, Expert Review of Anti-infective Therapy, Journal of Clinical Medicine, Expert Review of Clinical Pharmacology and Annals of Medicine.
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.