Yingxin Wei
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
- Dermatology top 10%
- Dermatologic Treatments and Research
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 3
- Kruppel-like factors research 2
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- Antimicrobial Peptides and Activities 6
- Co-authors
- Lei You (5 shared papers)Jiajun Wang (5 shared papers)Anshan Shan (6 shared papers)Yupei Zhao (3 shared papers)Licong Zhang (5 shared papers)Yongsheng Huang (2 shared papers)Zhanyi Yang (4 shared papers)Yujun Wang (3 shared papers)
In The Last Decade
Yingxin Wei
26 papers receiving 387 citations
Peers
Comparison fields: 5 of 86
- Microbiology 46
- Dermatology 41
- Rehabilitation 16
- Oncology 64
- Infectious Diseases 42
Countries citing papers authored by Yingxin Wei
This map shows the geographic impact of Yingxin Wei'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 Yingxin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxin Wei more than expected).
Fields of papers citing papers by Yingxin Wei
This network shows the impact of papers produced by Yingxin Wei. 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 Yingxin Wei. The network helps show where Yingxin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingxin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 46 | |
| 2 | 2021 | 43 | |
| 3 | 2013 | 41 | |
| 4 | 2024 | 37 | |
| 5 | 2022 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 2023 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2023 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2023 | 11 | |
| 12 | Krüpel-like factor 8 is a potential prognostic factor for pancreatic cancer. | 2014 | 11 |
| 13 | 2024 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2025 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2021 | 3 |
About Yingxin Wei
Yingxin Wei is a scholar working on Molecular Biology, Microbiology, Food Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 392 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (6 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Meat and Animal Product Quality (3 papers), Biocrusts and Microbial Ecology (3 papers), COVID-19 Clinical Research Studies (3 papers), Animal Genetics and Reproduction (2 papers), Kruppel-like factors research (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Microbiology (46 citations), Dermatology (41 citations), Rehabilitation (16 citations), Oncology (64 citations) and Infectious Diseases (42 citations). Yingxin Wei has collaborated with scholars based in China, Australia and India. Frequent co-authors include Lei You, Jiajun Wang, Anshan Shan, Yupei Zhao, Licong Zhang, Yongsheng Huang, Zhanyi Yang, Yujun Wang, Weikang Yu and Jing Wang. Their work appears in journals such as Food Research International, Journal of Agricultural and Food Chemistry, Food Chemistry, Food & Function and Frontiers in Immunology.
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.