Faping Yi

506 citations
35 papers · 381 · h-index 13

Impact in

Papers in

Faping Yi

32 papers receiving 374 citations

Peers

Faping Yi
Comparison fields: 5 of 90
  • Biological Psychiatry 39
  • Behavioral Neuroscience 33
  • Cancer Research 52
  • Biochemistry 17
  • Molecular Biology 179
Replace Wagner Santos Coelho with:
Wagner Santos Coelho Brazil
Yuka Ikeda Japan
Shuang Hao China
Xixi Li China
Mingming Qi China
Unbin Chae South Korea
Junli Ye China
Chenchen Li China
Xuejing Lin China
José M. Jiménez Chile
Faping Yi relative to Wagner Santos Coelho Brazil Wagner Santos Coelho's profile →
Citations per field
00.5×1.5×2.4×
Wagner Santos Coelho · 1×
Citations per year

Countries citing papers authored by Faping Yi

Since Specialization
Citations

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

Fields of papers citing papers by Faping Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201047
2 200839
3 202137
4 201127
5 201824
6 201317
7 201416
8 202116
9 202115
10
Silencing of Bmi-1 gene by RNA interference enhances sensitivity to doxorubicin in breast cancer cells.
201115
11 201414
12
Melanoma differentiation-associated gene-7/interleukin 24 inhibits invasion and migration of human cervical cancer cells in vitro.
200713
13 200813
14 202112
15 202010
16 20219
17 20229
18 20218
19 20097
20 20147

About Faping Yi

Faping Yi is a scholar working on Molecular Biology, Cancer Research, Behavioral Neuroscience, Biological Psychiatry and Oncology, having authored 35 papers that have together received 381 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), RNA Research and Splicing (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Virus-based gene therapy research (3 papers), DNA Repair Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Behavioral Neuroscience (33 citations), Cancer Research (52 citations), Biochemistry (17 citations) and Molecular Biology (179 citations). Faping Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Youquan Bu, Geli Liu, Chengfu Yuan, Changdong Wang, Fangzhou Song, Jian Zhou, Fangzhou Song, Rongzhong Huang, Xiangmei Wu and Yanchen Liu. Their work appears in journals such as Neuroscience, Gene, Molecular and Cellular Biochemistry, Amino Acids and Neurochemical Research.

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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