Yiwei Ai

1.3k citations
9 papers · 664 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • RNA Interference and Gene Delivery 3
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Extracellular vesicles in disease 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Yiwei Ai

9 papers receiving 664 citations

Peers

Yiwei Ai
Comparison fields: 5 of 64
  • Cancer Research 214
  • Biomaterials 110
  • Molecular Biology 435
  • Oncology 146
  • Immunology and Allergy 22
Replace Ziyuan Wang with:
Ziyuan Wang China
Dong Hyun Nam United States
Victor Ma China
Tin Chanh Pham Hong Kong
Xabier Morales Spain
Ryan J. Osgood United States
Katrin Tiemann United States
Maneesh Gujrati United States
Lin Meng China
Loredana Cavicchini Italy
Yiwei Ai relative to Ziyuan Wang China Ziyuan Wang's profile →
Citations per field
00.5×10×15.7×
Ziyuan Wang · 1×
Citations per year

Countries citing papers authored by Yiwei Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yiwei Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015271
2 2016128
3 2016109
4 202282
5 202433
6 202212
7 201912
8 201812
9 20225

About Yiwei Ai

Yiwei Ai is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Oncology and Ecology, having authored 9 papers that have together received 664 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Cells and Metastasis (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cancer Research (214 citations), Biomaterials (110 citations), Molecular Biology (435 citations), Oncology (146 citations) and Immunology and Allergy (22 citations). Yiwei Ai has collaborated with scholars based in United States and Singapore. Frequent co-authors include Xiling Shen, Pengcheng Bu, Lihua Wang, Qianhui Wu, Michael R. King, Jiahe Li, Sweta Roy, Huanhuan Joyce Chen, Steven M. Lipkin and Tara Srinivasan. Their work appears in journals such as Journal of Biological Chemistry, Science Advances, PLoS ONE, Heliyon and Biomaterials.

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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