Caixia He

1.0k citations
21 papers · 822 · h-index 12

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 2
    • Mesenchymal stem cell research 3
    • Virus-based gene therapy research 2

Caixia He

21 papers receiving 810 citations

Peers

Caixia He
Comparison fields: 5 of 98
  • Pharmaceutical Science 96
  • Cancer Research 112
  • Neurology 48
  • Molecular Biology 408
  • Biomaterials 75
Replace Seung Rim Hwang with:
Seung Rim Hwang South Korea
Ziyun Gao China
Ju-Ock Nam South Korea
Jeong Uk Choi South Korea
Zhao Yang China
Indranil Banerjee India
Jia Guo China
Chantal C.M. Appeldoorn Netherlands
Xinchun Xu China
Xiaoqian Liu China
Caixia He relative to Seung Rim Hwang South Korea Seung Rim Hwang's profile →
Citations per field
00.5×3.7×
Seung Rim Hwang · 1×
Citations per year

Countries citing papers authored by Caixia He

Since Specialization
Citations

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

Fields of papers citing papers by Caixia He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010138
2 2009112
3 201584
4 201683
5 200978
6 200865
7 201565
8 200851
9 201034
10 201133
11 200829
12 201225
13 20197
14 20236
15 20124
16
[Effects of fasudil on the expression of Rho kinase-1 and airway inflammation in a mouse model of asthma.].
20093
17 20231
18 20201
19 20041
20 20181

About Caixia He

Caixia He is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Genetics, having authored 21 papers that have together received 822 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Telomeres, Telomerase, and Senescence (3 papers), RNA Interference and Gene Delivery (3 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Immune Cell Function and Interaction (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Pharmaceutical Science (96 citations), Cancer Research (112 citations), Neurology (48 citations), Molecular Biology (408 citations) and Biomaterials (75 citations). Caixia He has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianqing Gao, Yasuhiko Tabata, Zhonggui He, Jian-Qing Gao, Yanfang Chen, Xiaotang Ma, Guping Tang, Wenquan Liang, Ji Bihl and Yusen Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Pharmaceutical Research, iScience, Journal of Cellular Biochemistry and Expert Opinion on Drug Delivery.

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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