Sa Dong

829 citations
46 papers · 655 indexed · h-index 17

Impact in

    • Insect and Pesticide Research
  • Pollution top 10%
    • Pesticide and Herbicide Environmental Studies

Papers in

    • Advanced biosensing and bioanalysis techniques 18
    • Insect Resistance and Genetics 11
    • Nematode management and characterization studies 7

Sa Dong

44 papers receiving 641 citations

Peers

Sa Dong
Comparison fields: 5 of 74
  • Insect Science 107
  • Pollution 69
  • Plant Science 179
  • Molecular Biology 267
  • Biomedical Engineering 161
Replace Dávila Zampieri with:
Dávila Zampieri Brazil
Mark G. Teese Germany
Zhi‐Li Xiao China
Pavol Farkaš Slovakia
Andres Veide Sweden
D. Samain France
Paola Cicatiello Italy
Xiao Feng Zhu China
Rina D. Koyani India
Zhenfeng Li China
Sa Dong relative to Dávila Zampieri Brazil Dávila Zampieri's profile →
Citations per field
00.5×2.7×
Dávila Zampieri · 1×
Citations per year

Countries citing papers authored by Sa Dong

Since Specialization
Citations

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

Fields of papers citing papers by Sa Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sa Dong, 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 Sa Dong Line = papers co-authored together Sa Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202044
3 201636
4 202135
5 202134
6 201833
7 201930
8 202025
9 202224
10 201823
11 201922
12 202020
13 202018
14 201318
15 202218
16 201717
17 201816
18 202014
19 202214
20 201414

About Sa Dong

Sa Dong is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Insect Science and Animal Science and Zoology, having authored 46 papers that have together received 655 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (18 papers), Insect Resistance and Genetics (11 papers), Insect and Pesticide Research (10 papers), Biosensors and Analytical Detection (9 papers), Nematode management and characterization studies (7 papers), Electrochemical sensors and biosensors (5 papers), Pesticide Residue Analysis and Safety (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Insect Science (107 citations), Pollution (69 citations), Plant Science (179 citations), Molecular Biology (267 citations) and Biomedical Engineering (161 citations). Sa Dong has collaborated with scholars based in China, United States and Bosnia and Herzegovina. Frequent co-authors include Jianguo Feng, Xianjin Liu, Cunzheng Zhang, Jinghan Yang, Kang Qiao, Wenchao Yang, Mingming Zhang, Jianfeng Zhong, Chongxin Xu and Shuzhong Yuan. Their work appears in journals such as International Journal of Biological Macromolecules, Crop Protection, Food Analytical Methods, Journal of Agricultural and Food Chemistry and Foods.

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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