Wei Yang

5.0k citations
112 papers · 2.5k · h-index 29

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

Wei Yang

101 papers receiving 2.5k citations

Peers

Wei Yang
Comparison fields: 5 of 138
  • Rehabilitation 213
  • Biomaterials 357
  • Cancer Research 307
  • Environmental Chemistry 164
  • Molecular Biology 828
Replace Kursad Turksen with:
Kursad Turksen Canada
Meirong Li China
Giovanni Bernardini Italy
Michael Burnet Germany
Willem M.H. Hoogaars Netherlands
Jan C. Simon Germany
Yang Zhou China
Diana M. Toivola Finland
Sonia Scarfı̀ Italy
Kang Wu China
Wei Yang relative to Kursad Turksen Canada Kursad Turksen's profile →
Citations per field
00.5×7.4×
Kursad Turksen · 1×
Citations per year

Countries citing papers authored by Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018262
2 2019196
3 2015123
4 201993
5 202380
6 202172
7 201669
8 201967
9 201364
10 200961
11 201960
12 201159
13 201852
14 201750
15 201445
16 201942
17 201342
18 202442
19 200841
20 202340

About Wei Yang

Wei Yang is a scholar working on Molecular Biology, Genetics, Ecology, Environmental Chemistry and Biomaterials, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (10 papers), Silk-based biomaterials and applications (6 papers), Immune Response and Inflammation (5 papers), Cancer-related molecular mechanisms research (5 papers), Environmental Toxicology and Ecotoxicology (5 papers), Circular RNAs in diseases (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Marine and coastal ecosystems (4 papers). The work is most often cited by research in Rehabilitation (213 citations), Biomaterials (357 citations), Cancer Research (307 citations), Environmental Chemistry (164 citations) and Molecular Biology (828 citations). Wei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rui Guo, Yong Lan, Andrei Hancharou, Bing Tang, Qiyu Zhu, Shuai Liu, Jiayuan Zhu, Liqiao Chen, Xiaodong Jiang and Zhicheng Hu. Their work appears in journals such as Scientific Reports, Journal of Plankton Research, Frontiers in Cellular and Infection Microbiology, Biomedical Materials and Blood.

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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