He Dong

2.8k citations
60 papers · 2.4k · h-index 28

Impact in

  • Biomaterials top 0.5%
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery
    • Antimicrobial Peptides and Activities

Papers in

    • Supramolecular Self-Assembly in Materials 36
    • Nanoparticle-Based Drug Delivery 8
    • RNA Interference and Gene Delivery 16
    • Advanced biosensing and bioanalysis techniques 13
    • Chemical Synthesis and Analysis 10

He Dong

60 papers receiving 2.4k citations

Peers

He Dong
Comparison fields: 5 of 106
  • Biomaterials 1.4k
  • Microbiology 352
  • Molecular Medicine 115
  • Organic Chemistry 633
  • Molecular Biology 1.2k
Replace Daniel Aili with:
Daniel Aili Sweden
Yashveer Singh India
Aline F. Miller United Kingdom
Wenjun Zhan China
Fan Jia China
Owen S. Fenton United States
Fang Pan United Kingdom
Oliver Germershaus Germany
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He Dong relative to Daniel Aili Sweden Daniel Aili's profile →
Citations per field
00.5×1.5×2.4×
Daniel Aili · 1×
Citations per year

Countries citing papers authored by He Dong

Since Specialization
Citations

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

Fields of papers citing papers by He Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007317
2 2009234
3 2008154
4 2008151
5 2016112
6 201287
7 200273
8 201969
9 201468
10 201568
11 201462
12 201861
13 200656
14 202253
15 201651
16 200749
17 201843
18 201441
19 200241
20 201241

About He Dong

He Dong is a scholar working on Biomaterials, Molecular Biology, Organic Chemistry, Microbiology and Biomedical Engineering, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (36 papers), RNA Interference and Gene Delivery (16 papers), Polydiacetylene-based materials and applications (16 papers), Advanced biosensing and bioanalysis techniques (13 papers), Antimicrobial Peptides and Activities (11 papers), Chemical Synthesis and Analysis (10 papers), Nanoparticle-Based Drug Delivery (8 papers) and Graphene and Nanomaterials Applications (5 papers). The work is most often cited by research in Biomaterials (1.4k citations), Microbiology (352 citations), Molecular Medicine (115 citations), Organic Chemistry (633 citations) and Molecular Biology (1.2k citations). He Dong has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Jeffrey D. Hartgerink, Lorenzo Aulisa, Sergey E. Paramonov, Dawei Xu, Erica L. Bakota, Linhai Jiang, Ting Xu, Reidar Lund, Yang Su and Timothy J. Sellati. Their work appears in journals such as Biomacromolecules, Chemical Communications, RSC Advances, Journal of the American Chemical Society and ACS Infectious Diseases.

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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