Da-Wei Huang

827 citations
13 papers · 471 indexed · h-index 8
Topics
Diet, Metabolism, and Disease (5 papers)Natural Antidiabetic Agents Studies (3 papers)Liver Disease Diagnosis and Treatment (2 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Da-Wei Huang

12 papers receiving 457 citations

Peers

Da-Wei Huang
Comparison fields: 5 of 82
  • Food Science 172
  • Plant Science 118
  • Molecular Biology 79
  • Endocrinology, Diabetes and Metabolism 70
  • Insect Science 58
Replace Manoela Maciel dos Santos Dias with:
Manoela Maciel dos Santos Dias Brazil
Chutha Takahashi Yupanqui Thailand
Sawlang Borsingh Wann India
F. Samadi Iran
Antonella Garbetta Italy
Nastaran Kazempour Iran
Roghayeh Amini Sarteshnizi Iran
Wafaa A. Helmy Egypt
Yustinus Marsono Indonesia
Yuqian Tang China
Da-Wei Huang relative to Manoela Maciel dos Santos Dias Brazil Manoela Maciel dos Santos Dias's profile →
Citations per field
00.5×2.9×
Manoela Maciel dos Santos Dias · 1×
Citations per year

Countries citing papers authored by Da-Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Da-Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Wei 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 Da-Wei Huang. The network helps show where Da-Wei Huang may publish in the future.

Co-authorship network of co-authors of Da-Wei Huang

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 12
4 36
5 9
6 214
7 3
8 17
9 95
10 26
11 3
12 52
13 3

About Da-Wei Huang

Da-Wei Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 13 papers that have together received 471 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (5 papers), Natural Antidiabetic Agents Studies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Food Science (172 citations), Biochemistry (48 citations) and Insect Science (58 citations). Da-Wei Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Szu‐Chuan Shen, Ching‐Hua Yeh, Wen-Chien Lu, Po‐Hsien Li, Wen-Chang Chang, James Swi-Bea Wu, James M. Cook, James Swi‐Bea Wu, Wen‐Chang Chang and Yanmin Zhou. Their work appears in journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Neurosurgery.

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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