Chaohui Wu

488 citations
17 papers · 359 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4

Chaohui Wu

16 papers receiving 355 citations

Peers

Chaohui Wu
Comparison fields: 5 of 75
  • Cancer Research 205
  • Molecular Biology 199
  • Building and Construction 32
  • Biomaterials 23
  • Biomedical Engineering 60
Replace Chunshui Liu with:
Chunshui Liu China
Yuhang Mao China
Sunita Pal United States
Feng Shen China
Cong Huang China
Lamha Kumar India
Na Rae Park South Korea
Vasudevarao Penugurti India
Lulin Shi China
Chaohui Wu relative to Chunshui Liu China Chunshui Liu's profile →
Citations per field
00.5×3.7×
Chunshui Liu · 1×
Citations per year

Countries citing papers authored by Chaohui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chaohui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201494
2 201471
3 202152
4 202041
5 201338
6 201716
7 202110
8 20229
9 20218
10 20257
11 20234
12 20124
13 20242
14 20221
15 20191
16 20141
17 20190

About Chaohui Wu

Chaohui Wu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pharmacology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 359 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Nanoplatforms for cancer theranostics (2 papers), Video Surveillance and Tracking Methods (2 papers), RNA modifications and cancer (2 papers), Photopolymerization techniques and applications (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (199 citations), Building and Construction (32 citations), Biomaterials (23 citations) and Biomedical Engineering (60 citations). Chaohui Wu has collaborated with scholars based in China and Sweden. Frequent co-authors include Hongbing Duan, Chao Hu, Minjie Li, Minjie Li, Jie Jiang, Yunpeng Cao, Deshuai Sun, Long Fang, Xuemei Wang and Zhaojun Chen. Their work appears in journals such as Journal of Cancer, Cancer Chemotherapy and Pharmacology, Saudi Journal of Biological Sciences, Asian Journal of Pharmaceutical Sciences and ACS Omega.

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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