Yao‐Ting Huang
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 17
- Bacterial biofilms and quorum sensing 4
- RNA and protein synthesis mechanisms 4
- Genetics 15
- Genetic Associations and Epidemiology 7
- Co-authors
- Po‐Yu Liu (34 shared papers)Choun‐Sea Lin (7 shared papers)Jeremy J.W. Chen (6 shared papers)Kun‐Mao Chao (6 shared papers)Wan‐Jung Chang (4 shared papers)Ming‐Che Shih (4 shared papers)Ming‐Tsair Chan (4 shared papers)Zong‐Yen Wu (11 shared papers)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (3 papers)Pathogens (2 papers)Frontiers in Microbiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yao‐Ting Huang
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Endocrinology 89
- Molecular Medicine 78
- Ecology, Evolution, Behavior and Systematics 220
- Molecular Biology 649
- Plant Science 245
Countries citing papers authored by Yao‐Ting Huang
This map shows the geographic impact of Yao‐Ting Huang'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 Yao‐Ting Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Ting Huang more than expected).
Fields of papers citing papers by Yao‐Ting Huang
This network shows the impact of papers produced by Yao‐Ting Huang. 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 Yao‐Ting Huang. The network helps show where Yao‐Ting Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao‐Ting Huang, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 140 | |
| 2 | 2021 | 102 | |
| 3 | 2017 | 102 | |
| 4 | 2015 | 83 | |
| 5 | 2015 | 45 | |
| 6 | 2016 | 41 | |
| 7 | 2014 | 36 | |
| 8 | 2019 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2005 | 30 | |
| 11 | 2013 | 23 | |
| 12 | 2007 | 21 | |
| 13 | 2023 | 20 | |
| 14 | 2006 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2005 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 2023 | 14 |
About Yao‐Ting Huang
Yao‐Ting Huang is a scholar working on Molecular Biology, Genetics, Endocrinology, Epidemiology and Molecular Medicine, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Antibiotic Resistance in Bacteria (10 papers), Vibrio bacteria research studies (8 papers), Genetic Associations and Epidemiology (7 papers), Aquaculture disease management and microbiota (6 papers), Infections and bacterial resistance (5 papers), Bacterial biofilms and quorum sensing (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Endocrinology (89 citations), Molecular Medicine (78 citations), Ecology, Evolution, Behavior and Systematics (220 citations), Molecular Biology (649 citations) and Plant Science (245 citations). Yao‐Ting Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Po‐Yu Liu, Choun‐Sea Lin, Jeremy J.W. Chen, Kun‐Mao Chao, Wan‐Jung Chang, Ming‐Che Shih, Ming‐Tsair Chan, Zong‐Yen Wu, Ming‐Lun Chou and Jan‐Fang Cheng. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Pathogens, Frontiers in Microbiology and PLoS ONE.
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.