Dan Shu

6.6k citations
118 papers · 4.0k indexed · h-index 35

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • MicroRNA in disease regulation

Papers in

    • MicroRNA in disease regulation 11
    • RNA Interference and Gene Delivery 38
    • Advanced biosensing and bioanalysis techniques 37
    • RNA and protein synthesis mechanisms 19
    • Genomics and Phylogenetic Studies 4
    • Plant Gene Expression Analysis 4

Dan Shu

110 papers receiving 4.0k citations

Peers

Dan Shu
Comparison fields: 5 of 122
  • Molecular Biology 3.2k
  • Cancer Research 671
  • Ecology 661
  • Biomaterials 318
  • Structural Biology 32
Replace Minghui Liu with:
Minghui Liu China
Hyesung Jeon South Korea
Zhu Liu China
Valerie A. Kickhoefer United States
O. Gileadi United Kingdom
Guofeng Zhang United States
Souvik Maiti India
Oded Kleifeld Israel
Zhou Gong China
Dan Shu relative to Minghui Liu China Minghui Liu's profile →
Citations per field
00.5×1.5×2.1×
Minghui Liu · 1×
Citations per year

Countries citing papers authored by Dan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011343
2 2015220
3 2013204
4 2012154
5 2004150
6 2007139
7 2019134
8 2013127
9 2016118
10 2017115
11 201398
12 201596
13 201693
14 200375
15 201574
16 201674
17 201872
18 200871
19 201370
20 200368

About Dan Shu

Dan Shu is a scholar working on Cancer Research, Molecular Biology, Biotechnology, Leadership and Management and Ecology, having authored 118 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (38 papers), Advanced biosensing and bioanalysis techniques (37 papers), Bacteriophages and microbial interactions (20 papers), RNA and protein synthesis mechanisms (19 papers), MicroRNA in disease regulation (11 papers), Plant-Microbe Interactions and Immunity (8 papers), Genomics and Phylogenetic Studies (4 papers) and Plant Gene Expression Analysis (4 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (671 citations), Ecology (661 citations), Biomaterials (318 citations) and Structural Biology (32 citations). Dan Shu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peixuan Guo, Farzin Haque, Yi Shu, Gaofeng Xiong, Ren Xu, B. Mark Evers, Hongran Yin, Yi Shu, Hui Zhang and Jiashun Jin. Their work appears in journals such as International Journal of Molecular Sciences, ACS Nano, Molecular Therapy — Nucleic Acids, Molecular Therapy and Scientific Reports.

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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