Carmen Li
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Streptococcal Infections and Treatments 9
- Neonatal and Maternal Infections 8
-
- Bacterial biofilms and quorum sensing 3
- Co-authors
- Margaret Ip (19 shared papers)Ying Yang (4 shared papers)Norman Lo (9 shared papers)K. T. Wong (7 shared papers)Mingjing Luo (3 shared papers)Haokui Zhou (2 shared papers)Chendi Zhu (10 shared papers)Alison W. S. Luk (1 shared paper)
In The Last Decade
Carmen Li
27 papers receiving 403 citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 57
- Endocrinology 31
- Applied Microbiology and Biotechnology 10
- Clinical Biochemistry 31
- Pollution 46
Countries citing papers authored by Carmen Li
This map shows the geographic impact of Carmen Li'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 Carmen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Li more than expected).
Fields of papers citing papers by Carmen Li
This network shows the impact of papers produced by Carmen Li. 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 Carmen Li. The network helps show where Carmen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2007 | 47 | |
| 3 | 2014 | 35 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 21 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2013 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 6 |
About Carmen Li
Carmen Li is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 29 papers that have together received 410 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (9 papers), Neonatal and Maternal Infections (8 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Pneumonia and Respiratory Infections (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Black Holes and Theoretical Physics (2 papers). The work is most often cited by research in Molecular Medicine (57 citations), Endocrinology (31 citations), Applied Microbiology and Biotechnology (10 citations), Clinical Biochemistry (31 citations) and Pollution (46 citations). Carmen Li has collaborated with scholars based in Hong Kong, China and Sri Lanka. Frequent co-authors include Margaret Ip, Ying Yang, Norman Lo, K. T. Wong, Mingjing Luo, Haokui Zhou, Chendi Zhu, Alison W. S. Luk, Guoping Zhao and Kitty S. C. Fung. Their work appears in journals such as Frontiers in Microbiology, iScience, Scientific Reports, Advances in Theoretical and Mathematical Physics and Human Molecular Genetics.
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.