Dan Fei

1.3k citations
72 papers · 744 · h-index 17

Impact in

Papers in

Dan Fei

63 papers receiving 734 citations

Peers

Dan Fei
Comparison fields: 5 of 107
  • Cancer Research 168
  • Analytical Chemistry 63
  • Molecular Biology 284
  • Pollution 45
  • Electrical and Electronic Engineering 207
Replace Qihua Zhang with:
Qihua Zhang China
Shuchen Liu China
Bingtao Liu China
Depeng Zhang China
Jiaquan Chen China
Aleksandra Bielawska‐Pohl Poland
Yurong Hu China
Israr Ahmed India
Xichun Liu China
Zhiqian Wu United States
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Citations per field
00.5×1.5×1.9×
Qihua Zhang · 1×
Citations per year

Countries citing papers authored by Dan Fei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MicroRNA-154 inhibits growth and invasion of breast cancer cells through targeting E2F5.
201646
2
MicroRNA-338-3p inhibits thyroid cancer progression through targeting AKT3.
201745
3 201644
4 201340
5 201336
6 202236
7 201435
8 202035
9 202332
10 201730
11 201726
12 202325
13 201624
14 201821
15 201021
16 202319
17 201517
18 201616
19 201016
20 202314

About Dan Fei

Dan Fei is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Molecular Biology, Cancer Research and Computer Networks and Communications, having authored 72 papers that have together received 744 indexed citations. Recurring topics across this work include Millimeter-Wave Propagation and Modeling (25 papers), Advanced MIMO Systems Optimization (21 papers), Power Line Communications and Noise (14 papers), Cancer-related molecular mechanisms research (7 papers), Microwave Engineering and Waveguides (6 papers), Telecommunications and Broadcasting Technologies (5 papers), MicroRNA in disease regulation (5 papers) and Microbial bioremediation and biosurfactants (4 papers). The work is most often cited by research in Cancer Research (168 citations), Analytical Chemistry (63 citations), Molecular Biology (284 citations), Pollution (45 citations) and Electrical and Electronic Engineering (207 citations). Dan Fei has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Bo Ai, Shan Zong, Zhangdui Zhong, Ruisi He, Hui Xu, Zhimin Fan, Shuping Dang, Yi Ge, Yan Yang and Ying Yue. Their work appears in journals such as Electronics, China Communications, IEEE Transactions on Vehicular Technology, IEEE Antennas and Wireless Propagation Letters and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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