Chia‐Wei Lu
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Genomics and Phylogenetic Studies 4
- Plant tissue culture and regeneration 1
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- Antibiotic Resistance in Bacteria 8
- Co-authors
- Shih‐Shun Lin (6 shared papers)Chuan Yi Tang (6 shared papers)Yuan‐Tay Shyu (1 shared paper)Chih‐Ming Hung (6 shared papers)Ming‐Li Liou (6 shared papers)Han‐Yueh Kuo (6 shared papers)Yu‐Tsung Huang (2 shared papers)Po‐Ren Hsueh (2 shared papers)
- Journals
- Molecular Ecology (3 papers)Scientific Reports (3 papers)International Journal of Antimicrobial Agents (2 papers)Microbial Drug Resistance (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
Chia‐Wei Lu
26 papers receiving 426 citations
Peers
Comparison fields: 5 of 84
- Applied Microbiology and Biotechnology 38
- Molecular Medicine 98
- Endocrinology 47
- Parasitology 34
- Bioengineering 27
Countries citing papers authored by Chia‐Wei Lu
This map shows the geographic impact of Chia‐Wei 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 Chia‐Wei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Wei Lu more than expected).
Fields of papers citing papers by Chia‐Wei Lu
This network shows the impact of papers produced by Chia‐Wei 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 Chia‐Wei Lu. The network helps show where Chia‐Wei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Wei 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 73 | |
| 2 | 2017 | 47 | |
| 3 | 2018 | 39 | |
| 4 | 2015 | 36 | |
| 5 | 2012 | 34 | |
| 6 | 2018 | 28 | |
| 7 | 2014 | 26 | |
| 8 | 2013 | 22 | |
| 9 | 2018 | 14 | |
| 10 | 2012 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 9 | |
| 16 | Vasoplegia Syndrome Is Not Associated with Higher Mortality Rate after Heart Transplant | 2012 | 6 |
| 17 | 2014 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2018 | 6 |
About Chia‐Wei Lu
Chia‐Wei Lu is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Endocrinology and Plant Science, having authored 27 papers that have together received 433 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Genetic diversity and population structure (5 papers), Genomics and Phylogenetic Studies (4 papers), Vibrio bacteria research studies (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Plant tissue culture and regeneration (1 paper) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (38 citations), Molecular Medicine (98 citations), Endocrinology (47 citations), Parasitology (34 citations) and Bioengineering (27 citations). Chia‐Wei Lu has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Shih‐Shun Lin, Chuan Yi Tang, Yuan‐Tay Shyu, Chih‐Ming Hung, Ming‐Li Liou, Han‐Yueh Kuo, Yu‐Tsung Huang, Po‐Ren Hsueh, Kai‐Chih Chang and Chih‐Chin Liu. Their work appears in journals such as Molecular Ecology, Scientific Reports, International Journal of Antimicrobial Agents, Microbial Drug Resistance and G3 Genes Genomes 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.