Mei‐Hui Lin
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Bacterial biofilms and quorum sensing 10
- Biochemical and Structural Characterization 4
-
- Antimicrobial Resistance in Staphylococcus 11
- Co-authors
- Jwu‐Ching Shu (10 shared papers)Ching‐Ping Tseng (3 shared papers)Tseng‐tong Kuo (2 shared papers)Ching‐Chung Tseng (2 shared papers)Tse‐Ching Chen (1 shared paper)Chien‐Cheng Chen (4 shared papers)Shih-Tung Liu (2 shared papers)Suzanne G. Laychock (1 shared paper)
- Journals
- PLoS ONE (6 papers)BMC Microbiology (2 papers)Frontiers in Microbiology (2 papers)Journal of Hepatology (2 papers)Hematological Oncology (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Mei‐Hui Lin
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 122
- Parasitology 166
- Infectious Diseases 201
- Microbiology 59
- Molecular Medicine 40
- Hepatology 56
Countries citing papers authored by Mei‐Hui Lin
This map shows the geographic impact of Mei‐Hui 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 Mei‐Hui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Hui Lin more than expected).
Fields of papers citing papers by Mei‐Hui Lin
This network shows the impact of papers produced by Mei‐Hui 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 Mei‐Hui Lin. The network helps show where Mei‐Hui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei‐Hui Lin, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 193 | |
| 2 | 2012 | 101 | |
| 3 | 2006 | 71 | |
| 4 | 2004 | 68 | |
| 5 | 2010 | 66 | |
| 6 | 2011 | 66 | |
| 7 | 2015 | 50 | |
| 8 | 2013 | 44 | |
| 9 | 2001 | 39 | |
| 10 | 2001 | 36 | |
| 11 | 2011 | 34 | |
| 12 | 2013 | 25 | |
| 13 | 2018 | 22 | |
| 14 | 2013 | 22 | |
| 15 | 2010 | 19 | |
| 16 | 2001 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2001 | 14 |
About Mei‐Hui Lin
Mei‐Hui Lin is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Epidemiology and Plant Science, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (5 papers), Biochemical and Structural Characterization (4 papers), Oral microbiology and periodontitis research (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Parasitology (166 citations), Infectious Diseases (201 citations), Microbiology (59 citations), Molecular Medicine (40 citations) and Hepatology (56 citations). Mei‐Hui Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Jwu‐Ching Shu, Ching‐Ping Tseng, Tseng‐tong Kuo, Ching‐Chung Tseng, Tse‐Ching Chen, Chien‐Cheng Chen, Shih-Tung Liu, Suzanne G. Laychock, Lucy D. Mastrandrea and Fang‐Rong Chang. Their work appears in journals such as PLoS ONE, BMC Microbiology, Frontiers in Microbiology, Journal of Hepatology and Hematological Oncology.
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.