邓燕飞

1.1k citations
74 papers · 840 · h-index 16

Impact in

Papers in

    • Cancer-related molecular mechanisms research 11
    • CRISPR and Genetic Engineering 10
    • Pluripotent Stem Cells Research 10
    • Circular RNAs in diseases 8

邓燕飞

72 papers receiving 832 citations

Peers

邓燕飞
Comparison fields: 5 of 90
  • Cancer Research 163
  • Aquatic Science 57
  • Pollution 91
  • Reproductive Medicine 56
  • Genetics 173
Replace Anne R. Greenlee with:
Anne R. Greenlee United States
Liang Yue China
Camillo Secchi Italy
J Jastrzebski Poland
Zhenhua Guo China
Changyan Deng China
Xiao Lin Hong Kong
Dong Niu China
Fusheng Quan China
Shuo Li China
邓燕飞 relative to Anne R. Greenlee United States Anne R. Greenlee's profile →
Citations per field
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Citations per year

Countries citing papers authored by 邓燕飞

Since Specialization
Citations

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

Fields of papers citing papers by 邓燕飞

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 202050
3 201247
4
Long non-coding RNAs as novel biomarkers and therapeutic targets in head and neck cancers.
201441
5 201937
6 201434
7 201831
8 202130
9 201825
10 201924
11 201823
12 201618
13 202318
14 201718
15 202016
16 202116
17 202215
18 201814
19 201914
20 202214

About 邓燕飞

邓燕飞 is a scholar working on Cancer Research, Molecular Biology, Genetics, Reproductive Medicine and Aquatic Science, having authored 74 papers that have together received 840 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Animal Genetics and Reproduction (12 papers), Cancer-related molecular mechanisms research (11 papers), CRISPR and Genetic Engineering (10 papers), Pluripotent Stem Cells Research (10 papers), Circular RNAs in diseases (8 papers), Sperm and Testicular Function (7 papers) and Tissue Engineering and Regenerative Medicine (7 papers). The work is most often cited by research in Cancer Research (163 citations), Aquatic Science (57 citations), Pollution (91 citations), Reproductive Medicine (56 citations) and Genetics (173 citations) 邓燕飞 has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Qingqing Yang, Deshun Shi, Fenghua Lu, Chan Luo, Houpu Zhang, Hua Fang, Sufang Yang, Jianrong Jiang, Yunlong Yu and Deshun Shi. Their work appears in journals such as Reproduction in Domestic Animals, Cellular Reprogramming, Theriogenology, International Journal of Molecular Sciences and The Science of The Total Environment.

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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