Dandan Su

930 citations
21 papers · 655 · h-index 11

Impact in

    • Wound Healing and Treatments
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Advanced Cellulose Research Studies

Papers in

    • Extracellular vesicles in disease 9
    • Gut microbiota and health 2
    • RNA Interference and Gene Delivery 2
    • Immunotherapy and Immune Responses 6

Dandan Su

20 papers receiving 650 citations

Peers

Dandan Su
Comparison fields: 5 of 74
  • Rehabilitation 112
  • Biomaterials 148
  • Automotive Engineering 85
  • Immunology 128
  • Biomedical Engineering 203
Replace Balaji Bandyopadhyay with:
Balaji Bandyopadhyay United States
Lisa A. Gurski United States
Xiaoyan Xie China
Yikun Ju China
Junfei Huang China
Yonghuan Zhen China
Xiaolei Ding China
Abigail M. Wojtowicz United States
Bairong Fang China
Fengjin Zhou China
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Citations per field
00.5×6.6×
Balaji Bandyopadhyay · 1×
Citations per year

Countries citing papers authored by Dandan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019208
2 2019100
3 202371
4 202045
5 202238
6 202131
7 202328
8 202027
9 202422
10 202016
11 202414
12 202110
13 202210
14 20237
15 20217
16 20226
17 20234
18 20254
19 20224
20 20233

About Dandan Su

Dandan Su is a scholar working on Molecular Biology, Immunology, Rehabilitation, Biomedical Engineering and Infectious Diseases, having authored 21 papers that have together received 655 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), Immunotherapy and Immune Responses (6 papers), Wound Healing and Treatments (3 papers), Mesenchymal stem cell research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Gut microbiota and health (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Rehabilitation (112 citations), Biomaterials (148 citations), Automotive Engineering (85 citations), Immunology (128 citations) and Biomedical Engineering (203 citations). Dandan Su has collaborated with scholars based in China, Finland and Australia. Frequent co-authors include Fang Cheng, Hongbo Chen, Zhanxue Xu, Stefan Willför, Chunlin Xu, Gordon G. Wallace, Paul J. Molino, Wenyang Xu, Xiaoju Wang and Zhilian Yue. Their work appears in journals such as Frontiers in Immunology, ACS Nano, Journal of Extracellular Vesicles, Acta Biomaterialia and Acta Pharmaceutica Sinica 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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