Caining Wen

20 papers receiving 717 citations

Caining Wen's Hit Papers

Nanoparticle Delivery of CRISPR/Cas9 for Genome Editing 2021 · 224 citations
2240+1+3Years since publication50100150200

Peers

Caining Wen
Comparison fields: 5 of 100
  • Business and International Management 25
  • Cancer Research 133
  • Rheumatology 122
  • Molecular Biology 490
  • Biomaterials 70
Replace Kan Ouyang with:
Kan Ouyang China
Mu‐Nung Hsu Taiwan
Qingbing Meng China
Tomasz Kolanowski Poland
Juliane Salbach‐Hirsch Germany
Yi Yan China
Chikako Hayashi Japan
Eleanor Knight United Kingdom
Yanbin Pi 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 21 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 →
2021224
2 202180
3 202167
4 202364
5 202356
6 202347
7 202335
8 202131
9 202221
10 202320
11 202418
12 202415
13 202415
14 20237
15 20256
16 20255
17 20214
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 21 papers that have together received 722 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), Mesenchymal stem cell research (2 papers), Circular RNAs in diseases (2 papers), Coastal and Marine Dynamics (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Business and International Management (25 citations), Cancer Research (133 citations), Rheumatology (122 citations), Molecular Biology (490 citations) and Biomaterials (70 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, Zhuan Qin, Xiaoying Zhou and Wei Sun. Their work appears in journals such as Ocean Engineering, Cell Death Discovery, International Journal of Biological Macromolecules, International Journal of Surgery and Cellular & Molecular Biology Letters.

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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