Bona Dai

534 citations
20 papers · 449 · h-index 12

Impact in

    • Seaweed-derived Bioactive Compounds
  • Food Science top 10%
    • Polysaccharides Composition and Applications
    • Proteins in Food Systems

Papers in

Bona Dai

20 papers receiving 445 citations

Peers

Bona Dai
Comparison fields: 5 of 86
  • Aquatic Science 63
  • Food Science 135
  • Animal Science and Zoology 54
  • Molecular Medicine 24
  • Plant Science 165
Replace Daniele Maria Alves Teixeira Sá with:
Daniele Maria Alves Teixeira Sá Brazil
Hejian Xiong China
Jialong Gao China
Renlei Wang China
Jiarun Han China
Longfa Jiang China
Wen‐Hui Shang China
Junwen Zhang China
Kátia Regina Kuhn Brazil
Aishwarya Mohan Canada
Bona Dai relative to Daniele Maria Alves Teixeira Sá Brazil Daniele Maria Alves Teixeira Sá's profile →
Citations per field
00.5×3.9×
Daniele Maria Alves Teixeira Sá · 1×
Citations per year

Countries citing papers authored by Bona Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bona Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bona Dai. 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 Bona Dai. The network helps show where Bona Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Bona Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bona Dai Line = papers co-authored together Bona Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015123
2 201148
3 201940
4 201239
5 201733
6 201829
7 201627
8 201520
9 202116
10 201514
11 201814
12 201512
13 20159
14 20159
15 20147
16 20253
17 20253
18 20251
19 20251
20 20261

About Bona Dai

Bona Dai is a scholar working on Biomedical Engineering, Plant Science, Molecular Biology, Animal Science and Zoology and Nutrition and Dietetics, having authored 20 papers that have together received 449 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (3 papers), Advanced Chemical Sensor Technologies (3 papers), Polysaccharides and Plant Cell Walls (2 papers), Polysaccharides Composition and Applications (2 papers), Advanced NMR Techniques and Applications (2 papers), NMR spectroscopy and applications (2 papers), Food composition and properties (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Aquatic Science (63 citations), Food Science (135 citations), Animal Science and Zoology (54 citations), Molecular Medicine (24 citations) and Plant Science (165 citations). Bona Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shingo Matsukawa, Yaqiong Zhang, Lei Chen, Jie Liu, Liangli Yu, Yuan An, Yun Deng, Yuan Liu, Charfedinne Ayed and Yang Luan. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Food Research International, Applied Microbiology and Biotechnology and The Journal of Physical Chemistry B.

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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