Tang-Yao Hong

634 citations
19 papers · 503 indexed · h-index 13
Topics
Enzyme Production and Characterization (5 papers)Neurological Disease Mechanisms and Treatments (4 papers)Retinal Diseases and Treatments (4 papers)
Partner nations
TaiwanChina

In The Last Decade

Tang-Yao Hong

19 papers receiving 491 citations

Peers

Tang-Yao Hong
Comparison fields: 5 of 79
  • Molecular Biology 211
  • Plant Science 162
  • Biotechnology 133
  • Biomedical Engineering 94
  • Nutrition and Dietetics 61
Replace Yuqing Wang with:
Yuqing Wang China
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Tang-Yao Hong relative to Yuqing Wang China Yuqing Wang's profile →
Citations per field
00.5×10×15×19×
Yuqing Wang · 1×
Citations per year

Countries citing papers authored by Tang-Yao Hong

Since Specialization
Citations

This map shows the geographic impact of Tang-Yao Hong'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 Tang-Yao Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tang-Yao Hong more than expected).

Fields of papers citing papers by Tang-Yao Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tang-Yao Hong. 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 Tang-Yao Hong. The network helps show where Tang-Yao Hong may publish in the future.

Co-authorship network of co-authors of Tang-Yao Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Tang-Yao Hong. A scholar is included among the top collaborators of Tang-Yao Hong 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 Tang-Yao Hong. Tang-Yao Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 2
3 6
4 1
5 31
6 19
7 24
8 83
9 41
10 17
11 14
12 11
13 47
14
(Acta Cryst.D, 64:964-970)The 1.5A° structure of endo-1,3-β-glucanase from Streptomyces sioyaensis: evolution of the active-site structure for 1,3-β-glucan-binding specificity and hydrolysis
1
15 88
16
(Appl. Microbiol. Biotechnol. , 61(5-6):472-478)Biochemical characterization and antifungal activity of an endo-1,3-beta-glucanase of Paenibacillus sp. isolated from garden soil
20
17
(Microbiology, 148(4):1151-1159)Isolation and biochemical characterization of an endo-1,3-beta-glucanase from Streptomyces sioyaensis containing a C-terminal family 6 carbohydrate-binding module that binds to 1,3-beta-glucan
21
18 61
19 14

About Tang-Yao Hong

Tang-Yao Hong is a scholar working on Biotechnology, Neurology and Clinical Biochemistry, having authored 19 papers that have together received 503 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Biotechnology (133 citations), Biochemistry (39 citations) and Ophthalmology (51 citations). Tang-Yao Hong has collaborated with scholars based in Taiwan and China. Frequent co-authors include Menghsiao Meng, I-Min Liu, Shorong‐Shii Liou, Wayne Liu, Chunwei Cheng, Jenn‐Wen Huang, Thing‐Fong Tzeng, Chia‐Chi Liu, Hung-Hung Sung and Shung‐Te Kao. Their work appears in journals such as Journal of Medicinal Chemistry, Applied Microbiology and Biotechnology and Molecules.

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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