Fenyong Sun

1.7k citations
23 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
RNA modifications and cancer (5 papers)RNA Research and Splicing (5 papers)Fibroblast Growth Factor Research (4 papers)
Partner nations
ChinaHong KongIran

In The Last Decade

Fenyong Sun

21 papers receiving 1.3k citations

Hit Papers

CREB up-regulates long non-coding RNA, HULC expression th...20102026201520202010250500750

Peers

Fenyong Sun
Comparison fields: 5 of 85
  • Molecular Biology 1.1k
  • Cancer Research 924
  • Epidemiology 84
  • Oncology 73
  • Genetics 59
Replace Melanie Winkle with:
Melanie Winkle Netherlands
Aifa Tang China
Deepak Kumar Singh United States
Guoen Fang China
Dongkyun Kim South Korea
Cailin E. Joyce United States
Raúl Peña Spain
Yulun Huang China
Scott Bader United States
Yong Song China
Fenyong Sun relative to Melanie Winkle Netherlands Melanie Winkle's profile →
Citations per field
00.5×10×12.6×
Melanie Winkle · 1×
Citations per year

Countries citing papers authored by Fenyong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fenyong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenyong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fenyong Sun. A scholar is included among the top collaborators of Fenyong Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fenyong Sun. Fenyong Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 9
4 4
5 11
6 63
7 27
8 21
9 32
10 44
11 20
12
CREB up-regulates long non-coding RNA, HULC expression through interaction with microRNA-372 in liver cancerbreakdown →
841
13 21
14 5
15 23
16 119
17
Core Promoter of Eukaryotic Genes
1
18
Relationship Between the Bioactivity of BMP2/7 Heterodimers and Its Regulation of CIZ Expression
3
19 9
20
Cloning and high level nonfusion expression of recombinant human basic fibroblast growth factor in Escherichia coli.
3

About Fenyong Sun

Fenyong Sun is a scholar working on Cancer Research, Molecular Biology and Endocrinology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Cancer Research (924 citations), Molecular Biology (1.1k citations) and Rheumatology (58 citations). Fenyong Sun has collaborated with scholars based in China, Hong Kong and Iran. Frequent co-authors include Xiangfan Liu, Zhidong Gu, Yongxia Qiao, Jiayi Wang, Ning Chen, Huacheng Wu, Peihua Ni, Qishi Fan, Ji Ma and Qiuhui Pan. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

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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