Hongwei Yang

589 citations
22 papers · 462 indexed · h-index 12
Topics
MicroRNA in disease regulation (7 papers)Breast Cancer Treatment Studies (5 papers)Circular RNAs in diseases (4 papers)

In The Last Decade

Hongwei Yang

22 papers receiving 455 citations

Peers

Hongwei Yang
Comparison fields: 5 of 75
  • Molecular Biology 264
  • Cancer Research 197
  • Cell Biology 71
  • Oncology 49
  • Physiology 45
Replace Go Shioi with:
Go Shioi Japan
Estelle Llamosas Australia
Jingying Chen China
Wee‐Wei Tee Singapore
Yi-Hong Zhou United States
Ita Costello United Kingdom
E. Takahashi Japan
Su Wu United States
Carolina Perez-Castro Argentina
Amrita Mandal United States
Hongwei Yang relative to Go Shioi Japan Go Shioi's profile →
Citations per field
00.5×1.5×2.3×
Go Shioi · 1×
Citations per year

Countries citing papers authored by Hongwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Yang. A scholar is included among the top collaborators of Hongwei Yang 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 Hongwei Yang. Hongwei Yang 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 1
2 11
3 3
4 2
5 1
6 26
7 7
8 19
9 10
10
Gene expression profile analysis of U251 glioma cells with shRNA-mediated SOX9 knockdown.
2
11 45
12 39
13 22
14 25
15 12
16 33
17 29
18
Multidrug-resistant bacteria distribution and drug resistance monitoring of hospital infection in 2010
1
19 9
20 109

About Hongwei Yang

Hongwei Yang is a scholar working on Cancer Research, Applied Microbiology and Biotechnology and Developmental Neuroscience, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Breast Cancer Treatment Studies (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (197 citations), Obstetrics and Gynecology (34 citations) and Cell Biology (71 citations). Hongwei Yang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jing Ning, Hongtao Zhang, Stéphanie Baulac, Tao Zhong, Tianming Liu, Henrik Zetterberg, Weiming Xia, Stephen T.C. Wong, William A. Campbell and Yanyang Tu. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Neurochemistry.

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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