Yang Si

27 papers receiving 319 citations

Peers

Yang Si
Comparison fields: 5 of 111
  • Bioengineering 27
  • Biomaterials 36
  • Surfaces, Coatings and Films 15
  • Pediatrics, Perinatology and Child Health 40
  • Biomedical Engineering 82
Replace Yuki Morishita with:
Yuki Morishita Japan
Lixin Shi China
Xinle Liu China
Louise Fornander Sweden
Yingchuan Zhang China
Jian Ye China
Maryam Paknahad Iran
An Chen China
Shuai Zhu China
Carole Ronzani France
Yang Si relative to Yuki Morishita Japan Yuki Morishita's profile →
Citations per field
00.5×6.7×
Yuki Morishita · 1×
Citations per year

Countries citing papers authored by Yang Si

Since Specialization
Citations

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

Fields of papers citing papers by Yang Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Si, 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 Yang Si Line = papers co-authored together Yang Si 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 201072
2 202268
3
The cytokines (IFN-gamma, IL-2, IL-4, IL-10, IL-17) and Treg cytokine (TGF-beta1) levels in adults with immune thrombocytopenia.
201425
4 202219
5 202218
6 202217
7 202015
8 202214
9 202212
10 202312
11 20239
12 20247
13 20235
14 20225
15 20244
16 20224
17 20232
18 20252
19 20222
20 20182

About Yang Si

Yang Si is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Control and Systems Engineering and Information Systems, having authored 35 papers that have together received 321 indexed citations. Recurring topics across this work include Conducting polymers and applications (3 papers), Advanced Photocatalysis Techniques (3 papers), Reliability and Maintenance Optimization (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Microgrid Control and Optimization (2 papers), Supercapacitor Materials and Fabrication (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Bioengineering (27 citations), Biomaterials (36 citations), Surfaces, Coatings and Films (15 citations), Pediatrics, Perinatology and Child Health (40 citations) and Biomedical Engineering (82 citations). Yang Si has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianyong Yu, Gang Sun, Bin Ding, Xianfeng Wang, Yingyi Wang, Ang Ma, Zhen Zhai, Feng Jiang, Weiyang Lou and Jun Lyu. Their work appears in journals such as Sensors and Actuators B Chemical, Chemical Engineering Journal, Small, Sustainability and Journal of Colloid and Interface Science.

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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