Ci Zhao

498 citations
12 papers · 427 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 4
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Ci Zhao

12 papers receiving 423 citations

Peers

Ci Zhao
Comparison fields: 5 of 72
  • Cancer Research 286
  • Molecular Biology 312
  • Immunology 41
  • Oncology 46
  • Environmental Chemistry 16
Replace Zhuoyue Bi with:
Zhuoyue Bi United States
Shiyu Pang China
Yiran Qiu United States
Mengshen Wang China
W‐C Hung Taiwan
Boqun Xu China
Matthew Pawlus United States
Chui Y. Mah Australia
Dimitrios Volanis Greece
Ci Zhao relative to Zhuoyue Bi United States Zhuoyue Bi's profile →
Citations per field
00.5×10×20×30×44×
Zhuoyue Bi · 1×
Citations per year

Countries citing papers authored by Ci Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ci Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014127
2 201574
3 201754
4 201445
5 201944
6 201526
7 201518
8 201517
9 20229
10 20239
11 20212
12 20202

About Ci Zhao

Ci Zhao is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Environmental Chemistry and Atmospheric Science, having authored 12 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Atmospheric chemistry and aerosols (2 papers), Per- and polyfluoroalkyl substances research (2 papers), RNA Research and Splicing (2 papers), Toxic Organic Pollutants Impact (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cancer Research (286 citations), Molecular Biology (312 citations), Immunology (41 citations), Oncology (46 citations) and Environmental Chemistry (16 citations). Ci Zhao has collaborated with scholars based in China. Frequent co-authors include Yuanyuan Zhu, Guangyu Wang, Zheng‐Xiang Li, Yanqiao Zhang, Qi Zhao, Zhigang Ma, Zhiwei Li, Xin Li, Tianzhen Wang and Chengcheng Ren. Their work appears in journals such as Tumor Biology, Air Quality Atmosphere & Health, Scientific Reports, Oncology Reports and Analytical 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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