Li‐Chin Lu
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Antimicrobial Resistance in Staphylococcus 4
- COVID-19 Clinical Research Studies 2
-
- Urinary Tract Infections Management 2
- Co-authors
- Shao‐Huan Lan (34 shared papers)Shen-Peng Chang (25 shared papers)Chih‐Cheng Lai (23 shared papers)Shou‐Jen Lan (8 shared papers)Jong‐Chen Chen (5 shared papers)Yen‐Ping Hsieh (7 shared papers)Chien‐Ming Chao (10 shared papers)Po‐Ren Hsueh (1 shared paper)
In The Last Decade
Li‐Chin Lu
34 papers receiving 577 citations
Peers
Comparison fields: 5 of 104
- Applied Microbiology and Biotechnology 21
- Infectious Diseases 159
- Molecular Medicine 39
- Critical Care and Intensive Care Medicine 26
- Neurology 66
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2021 | 60 | |
| 3 | 2017 | 48 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 8 |
About Li‐Chin Lu
Li‐Chin Lu is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 591 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Streptococcal Infections and Treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Climate Change and Health Impacts (2 papers), Urinary Tract Infections Management (2 papers), Nosocomial Infections in ICU (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (159 citations), Molecular Medicine (39 citations), Critical Care and Intensive Care Medicine (26 citations) and Neurology (66 citations). Li‐Chin Lu has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Shao‐Huan Lan, Shen-Peng Chang, Chih‐Cheng Lai, Shou‐Jen Lan, Jong‐Chen Chen, Yen‐Ping Hsieh, Chien‐Ming Chao, Po‐Ren Hsueh, Wei‐Ting Lin and Long‐Yau Lin. Their work appears in journals such as Medicine, Expert Review of Anti-infective Therapy, Journal of Clinical Medicine, Annals of Medicine and Expert Review of Clinical Pharmacology.
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.