Fangyi Yao

600 citations
38 papers · 455 · h-index 12

Impact in

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

Papers in

    • RNA modifications and cancer 9
    • Circular RNAs in diseases 6
    • RNA Research and Splicing 4
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 5

Fangyi Yao

35 papers receiving 451 citations

Peers

Fangyi Yao
Comparison fields: 5 of 66
  • Cancer Research 259
  • Molecular Biology 326
  • Hematology 39
  • Immunology 70
  • Biochemistry 12
Replace Camille Jacques with:
Camille Jacques France
Haiping Zhang China
Xinlian Chen China
M Stefănescu Romania
Xingxing Chai China
Shuhui Si China
Yanwei Chen China
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Fangyi Yao relative to Camille Jacques France Camille Jacques's profile →
Citations per field
00.5×
Camille Jacques · 1×
Citations per year

Countries citing papers authored by Fangyi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Fangyi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201664
2 201862
3 202040
4 202132
5 201627
6 201424
7
Circulating circular RNAs hsa_circ_0001204 and hsa_circ_0001747 act as diagnostic biomarkers for active tuberculosis detection.
201823
8 202122
9 202221
10 201821
11 202214
12 202214
13 201611
14 202111
15 20228
16 20237
17 20237
18 20227
19 20236
20 20234

About Fangyi Yao

Fangyi Yao is a scholar working on Molecular Biology, Cancer Research, Hematology, Immunology and Genetics, having authored 38 papers that have together received 455 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Circular RNAs in diseases (6 papers), Immune cells in cancer (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Myeloid Leukemia Research (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (259 citations), Molecular Biology (326 citations), Hematology (39 citations), Immunology (70 citations) and Biochemistry (12 citations). Fangyi Yao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qing Luo, Junming Li, Zikun Huang, Rigu Su, Jianqing Xu, Xiaozhong Wang, Bo Huang, Yiping Peng, Qing Cheng and Jianqing Ye. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Inflammation Research, Technology in Cancer Research & Treatment and Frontiers in Immunology.

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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