Zailiang Yang

564 citations
17 papers · 452 · h-index 12

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Zailiang Yang

16 papers receiving 448 citations

Peers

Zailiang Yang
Comparison fields: 5 of 85
  • Genetics 139
  • Biomaterials 76
  • Developmental Neuroscience 23
  • Rehabilitation 36
  • Neurology 31
Replace Fatemeh Atashi with:
Fatemeh Atashi United States
Lanjuan Li China
Manjunatha S. Muttigi India
Byeong Cheol Kang South Korea
Peisheng Jin China
Songou Zhang China
Somayeh Keshtkar Iran
Ni Ni China
Asmat Salim Pakistan
Zailiang Yang relative to Fatemeh Atashi United States Fatemeh Atashi's profile →
Citations per field
00.5×2.8×
Fatemeh Atashi · 1×
Citations per year

Countries citing papers authored by Zailiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zailiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201471
2 201358
3 201353
4 201240
5 201736
6 201034
7 201129
8 201228
9 201426
10 202323
11 201621
12 201317
13 20209
14
Effect of environment on extremely severe road traffic crashes: retrospective epidemic analysis during 2000-2001.
20044
15 20242
16 20241
17 20240

About Zailiang Yang

Zailiang Yang is a scholar working on Molecular Biology, Surgery, Genetics, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 452 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Effects of Radiation Exposure (3 papers), MicroRNA in disease regulation (2 papers), Circular RNAs in diseases (2 papers), Wound Healing and Treatments (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Genetics (139 citations), Biomaterials (76 citations), Developmental Neuroscience (23 citations), Rehabilitation (36 citations) and Neurology (31 citations). Zailiang Yang has collaborated with scholars based in China. Frequent co-authors include Zhengguo Wang, Bo Zhang, Hua You, Shijin Sun, Shi-Chang Zhang, Wei Li, Dazhi Yang, Peifen Zhu, Ke Zheng and Xiaofeng Wu. Their work appears in journals such as International Journal of Molecular Medicine, Cytotherapy, PLoS ONE, Cellular Reprogramming and Journal of Translational Medicine.

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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