Shaohui Deng

965 citations
42 papers · 718 · h-index 15

Impact in

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 5
    • RNA modifications and cancer 3
    • Nanoplatforms for cancer theranostics 7

Shaohui Deng

39 papers receiving 715 citations

Peers

Shaohui Deng
Comparison fields: 5 of 94
  • Surfaces, Coatings and Films 115
  • Biomedical Engineering 264
  • Biomaterials 74
  • Molecular Biology 280
  • Immunology 55
Replace Vasu R. Sah with:
Vasu R. Sah Australia
Henry P. Foote United States
Di‐Yen Chueh Taiwan
Olivier Gallet France
Hao Shang China
Nicholas Ferrell United States
Cornelia Lee‐Thedieck Germany
Xiaocong He China
Kyung Eun Lee South Korea
Christopher R. Anderson United States
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Citations per field
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Vasu R. Sah · 1×
Citations per year

Countries citing papers authored by Shaohui Deng

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 2020118
3 201756
4 202138
5 201838
6 202128
7 201725
8 202223
9 202522
10 202320
11 202320
12 202419
13 202316
14 202316
15 202416
16 202414
17 202413
18 202211
19 202411
20 202311

About Shaohui Deng

Shaohui Deng is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 42 papers that have together received 718 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Renal cell carcinoma treatment (3 papers), Surface Modification and Superhydrophobicity (3 papers), Aluminum Alloy Microstructure Properties (3 papers), Cancer Research and Treatments (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (115 citations), Biomedical Engineering (264 citations), Biomaterials (74 citations), Molecular Biology (280 citations) and Immunology (55 citations). Shaohui Deng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Du Cheng, Jifeng Chen, Mingqiang Li, Shudong Zhang, Shuang Liu, Lulin Ma, Shutao Wang, Kam W. Leong, Sing Yian Chew and Yanxia Chen. Their work appears in journals such as Biomaterials, Advanced Materials, Surgical Endoscopy, Acta Biomaterialia and Small.

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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