Feiran Wang

909 citations
47 papers · 636 · h-index 17

Impact in

Papers in

    • RNA modifications and cancer 10
    • Gut microbiota and health 4
    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 6

Feiran Wang

41 papers receiving 632 citations

Peers

Feiran Wang
Comparison fields: 5 of 90
  • Cancer Research 243
  • Agronomy and Crop Science 69
  • Molecular Biology 396
  • Reproductive Medicine 26
  • Oncology 61
Replace Huaiping Shi with:
Huaiping Shi China
Guangming Li China
Fei Zhao China
Ruifeng Guo United States
Chie Suzuki Japan
Cyrus Afrasiabi United States
Y Goto Japan
Zhongquan Zhao China
Qixiang Zhang China
Feiran Wang relative to Huaiping Shi China Huaiping Shi's profile →
Citations per field
00.5×1.6×
Huaiping Shi · 1×
Citations per year

Countries citing papers authored by Feiran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feiran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MicroRNA-145 suppresses cell migration and invasion by targeting paxillin in human colorectal cancer cells.
201548
2 201640
3 202039
4 201536
5 201835
6 202131
7 201527
8 201527
9 201626
10 202024
11 201923
12 202022
13 202021
14 201620
15 202020
16 202118
17 202217
18 201615
19 201715
20 201613

About Feiran Wang

Feiran Wang is a scholar working on Molecular Biology, Cancer Research, Agronomy and Crop Science, Genetics and Oncology, having authored 47 papers that have together received 636 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Gut microbiota and health (4 papers), Reproductive Physiology in Livestock (4 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (243 citations), Agronomy and Crop Science (69 citations), Molecular Biology (396 citations), Reproductive Medicine (26 citations) and Oncology (61 citations). Feiran Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yasu Jiang, Junfei Xu, Haiyan Jiang, Jun Qin, Zhixian He, Shengli Li, Zhiwei Wang, Shoukun Ji, Shuai Huang and Nannan Zhang. Their work appears in journals such as OncoTargets and Therapy, Annals of Translational Medicine, International Journal of Oncology, Frontiers in Microbiology and Nature Communications.

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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