Yao‐Ting Huang

1.6k citations
67 papers · 1.1k indexed · h-index 16
Topics
Genomics and Phylogenetic Studies (18 papers)Vibrio bacteria research studies (9 papers)Genetic Associations and Epidemiology (8 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Yao‐Ting Huang

64 papers receiving 1.1k citations

Peers

Yao‐Ting Huang
Comparison fields: 5 of 108
  • Molecular Biology 715
  • Plant Science 264
  • Ecology, Evolution, Behavior and Systematics 263
  • Genetics 138
  • Endocrinology 94
Replace Anthony Rhoads with:
Anthony Rhoads United States
Anna Muszewska Poland
Yongbing Zhao China
Tsukasa Nakamura Japan
Vijayaraj Nagarajan United States
Sven Findeiß Germany
Pongsak Utaisincharoen Thailand
Conrad Lichtenstein United Kingdom
Alireza Zomorodipour Iran
Max W. Shen United States
Yao‐Ting Huang relative to Anthony Rhoads United States Anthony Rhoads's profile →
Citations per field
00.5×7.7×
Anthony Rhoads · 1×
Citations per year

Countries citing papers authored by Yao‐Ting Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yao‐Ting Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Ting Huang. A scholar is included among the top collaborators of Yao‐Ting Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao‐Ting Huang. Yao‐Ting Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 28
5
COVID-19 Associated Bacteremia with Chryseobacterium indologenes Co-Harboring blaIND-2, blaCIA and blaCcrA
3
6 2
7 97
8 11
9 5
10 32
11 10
12 15
13 45
14 80
15 23
16 3
17 3
18 4
19 6
20 15

About Yao‐Ting Huang

Yao‐Ting Huang is a scholar working on Endocrinology, Molecular Medicine and Molecular Biology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Vibrio bacteria research studies (9 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Endocrinology (94 citations), Molecular Medicine (76 citations) and Ecology, Evolution, Behavior and Systematics (263 citations). Yao‐Ting Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Po‐Yu Liu, Jeremy J.W. Chen, Choun‐Sea Lin, Kun‐Mao Chao, Ming‐Che Shih, Wan‐Jung Chang, Ming‐Tsair Chan, Zong‐Yen Wu, Jan‐Fang Cheng and Ming‐Lun Chou. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.

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