Caining Wen

1.1k citations
22 papers · 813 · 1 hit paper · h-index 13

Impact in

Papers in

    • Extracellular vesicles in disease 9
    • RNA Interference and Gene Delivery 5
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 6

Caining Wen

20 papers receiving 803 citations

Caining Wen's Hit Papers

Nanoparticle Delivery of CRISPR/Cas9 for Genome Editing 2021 · 256 citations
2560+1+3Years since publication50100150200250

Peers

Caining Wen
Comparison fields: 5 of 101
  • Business and International Management 25
  • Rheumatology 123
  • Cancer Research 121
  • Molecular Biology 514
  • Biomaterials 76
Replace Kan Ouyang with:
Kan Ouyang China
Elizabeth C. Stahl United States
Mu‐Nung Hsu Taiwan
Zoya Iqbal China
Fazlina Nordin Malaysia
Juliane Salbach‐Hirsch Germany
Youn Jae Jung South Korea
Tomasz Kolanowski Poland
Yi Yan China
Caining Wen relative to Kan Ouyang China Kan Ouyang's profile →
Citations per field
00.5×1.5×
Kan Ouyang · 1×
Citations per year

Countries citing papers authored by Caining Wen

Since Specialization
Citations

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

Fields of papers citing papers by Caining Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanoparticle Delivery of CRISPR/Cas9 for Genome Editing
Hit paper breakdown →
2021256
2 202188
3 202171
4 202369
5 202362
6 202351
7 202337
8 202133
9 202430
10 202321
11 202421
12 202221
13 202416
14 20259
15 20258
16 20238
17 20215
18 20244
19 20242
20 20221

About Caining Wen

Caining Wen is a scholar working on Molecular Biology, Cancer Research, Oncology, Rheumatology and Biomedical Engineering, having authored 22 papers that have together received 813 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Wound Healing and Treatments (2 papers), Circular RNAs in diseases (2 papers), Coastal and Marine Dynamics (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Business and International Management (25 citations), Rheumatology (123 citations), Cancer Research (121 citations), Molecular Biology (514 citations) and Biomaterials (76 citations). Caining Wen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Limei Xu, Yujie Liang, Xiao Xu, Li Duan, Jiang Xia, Kan Ouyang, Yuanmin Zhang, Zhiyi Xu, Zhuan Qin and Wei Sun. Their work appears in journals such as Ocean Engineering, Cell Death Discovery, Frontiers in Pharmacology, Frontiers in Genetics and Psychiatry and Clinical Neurosciences.

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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