Bin Dong

1.5k citations
70 papers · 1.1k indexed · h-index 21

Impact in

    • Antimicrobial Peptides and Activities
    • Protein Hydrolysis and Bioactive Peptides
    • Biochemical and Structural Characterization
    • Extracellular vesicles in disease

Papers in

Bin Dong

67 papers receiving 1.1k citations

Peers

Bin Dong
Comparison fields: 5 of 118
  • Microbiology 181
  • Molecular Biology 562
  • Cancer Research 117
  • Biomaterials 85
  • Immunology 133
Replace Zhigang Liu with:
Zhigang Liu China
Myeong Seon Jeong South Korea
William R. Wolter United States
Madhu Dyavaiah India
Angela Arciello Italy
Brooke J. Marfell Australia
Zhixin Lei China
Maciej Jaśkiewicz Poland
Suzana Popović Serbia
Renata Piccoli Italy
Bin Dong relative to Zhigang Liu China Zhigang Liu's profile →
Citations per field
00.5×1.5×2.3×
Zhigang Liu · 1×
Citations per year

Countries citing papers authored by Bin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202410
4 202417
5 20233
6 20223
7 202211
8 20223
9 20215
10 202116
11 202175
12 202056
13 201916
14 201927
15 201912
16 20195
17 201824
18
Selection of reference gene in Magnolia denudata under salt stress using qRT-PCR.
20184
19 201736
20 201536

About Bin Dong

Bin Dong is a scholar working on Microbiology, Cancer Research, Molecular Biology, Biochemistry and Immunology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (10 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Nanoplatforms for cancer theranostics (6 papers), Aquaculture disease management and microbiota (6 papers), Biochemical and Structural Characterization (4 papers), HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Microbiology (181 citations), Molecular Biology (562 citations), Cancer Research (117 citations), Biomaterials (85 citations) and Immunology (133 citations). Bin Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhen‐Chuan Fan, Chunlong Sun, Demei Meng, Wen Du, Baogui Wang, Baoqin Wang, Lihua Hou, Xiaohong Cao, Chunling Wang and Chuan Liu. Their work appears in journals such as Protein Expression and Purification, Process Biochemistry, Biomedicine & Pharmacotherapy, International Journal of Medical Sciences and Frontiers in Cell and Developmental Biology.

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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