Yayi Hou

2.1k citations
14 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
Cancer-related molecular mechanisms research (9 papers)MicroRNA in disease regulation (9 papers)Circular RNAs in diseases (5 papers)
Partner nations
ChinaFranceUnited States

In The Last Decade

Yayi Hou

14 papers receiving 1.7k citations

Hit Papers

Carcinoma-associated fibroblasts promote the stemness and...20182026202020232018100200300400500

Peers

Yayi Hou
Comparison fields: 5 of 91
  • Cancer Research 1.3k
  • Molecular Biology 1.3k
  • Obstetrics and Gynecology 258
  • Oncology 227
  • Immunology 226
Replace Cecilia S. Leung with:
Cecilia S. Leung United States
Liat Drucker Israel
Minhong Shen China
Yan Qin China
Ljiljana Šerman Croatia
Alberto Mercatanti Italy
Sha Wu China
Eric D. Young United States
Masahiro Sato Japan
Yuzhen Feng China
Yayi Hou relative to Cecilia S. Leung United States Cecilia S. Leung's profile →
Citations per field
00.5×7.4×
Cecilia S. Leung · 1×
Citations per year

Countries citing papers authored by Yayi Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yayi Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayi Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Yayi Hou. A scholar is included among the top collaborators of Yayi Hou 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 Yayi Hou. Yayi Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 4
2 25
3 10
4
Carcinoma-associated fibroblasts promote the stemness and chemoresistance of colorectal cancer by transferring exosomal lncRNA H19breakdown →
568
5 14
6 151
7 41
8 41
9 34
10 86
11 96
12 358
13 103
14 175

About Yayi Hou

Yayi Hou is a scholar working on Cancer Research, Obstetrics and Gynecology and Biophysics, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Obstetrics and Gynecology (258 citations) and Molecular Biology (1.3k citations). Yayi Hou has collaborated with scholars based in China, France and United States. Frequent co-authors include Jing Ren, Liang Ding, Dongya Zhang, Guo‐Ping Shi, Tingting Wang, Yaping Wang, Sunan Shen, Yali Hu, Ming Sun and Kaihua Lu. Their work appears in journals such as Nature Communications, Scientific Reports and Carcinogenesis.

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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