Yang Su
Impact in
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
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- Immune Cell Function and Interaction 2
- IL-33, ST2, and ILC Pathways 2
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- Advanced Glycation End Products research 5
- Co-authors
- Lingyun Wu (4 shared papers)Lixin Liu (4 shared papers)Chen Dong (3 shared papers)Xiaohu Wang (3 shared papers)Xiaohong Zhao (3 shared papers)Syed M. Qadri (5 shared papers)Jinling Huang (2 shared papers)Lixin Liu (3 shared papers)
- Journals
- Cardiovascular Diabetology (2 papers)Immunity (2 papers)Emerging Microbes & Infections (1 paper)Science Immunology (1 paper)mBio (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yang Su
21 papers receiving 703 citations
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 78
- Immunology 209
- Applied Microbiology and Biotechnology 18
- Dermatology 43
- Food Science 66
Countries citing papers authored by Yang Su
This map shows the geographic impact of Yang Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Su more than expected).
Fields of papers citing papers by Yang Su
This network shows the impact of papers produced by Yang Su. 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 Su. The network helps show where Yang Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Su, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | 2021 | 88 | |
| 3 | 2020 | 61 | |
| 4 | 2012 | 57 | |
| 5 | 2019 | 44 | |
| 6 | 2014 | 39 | |
| 7 | 2020 | 39 | |
| 8 | 2015 | 37 | |
| 9 | 2013 | 32 | |
| 10 | 2015 | 30 | |
| 11 | 2013 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2013 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2014 | 18 | |
| 16 | 2014 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 7 |
About Yang Su
Yang Su is a scholar working on Immunology, Clinical Biochemistry, Molecular Biology, Food Science and Molecular Medicine, having authored 24 papers that have together received 706 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (5 papers), Insect Pest Control Strategies (3 papers), Power System Optimization and Stability (3 papers), HVDC Systems and Fault Protection (2 papers), Immune Cell Function and Interaction (2 papers), Insect and Pesticide Research (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Clinical Biochemistry (78 citations), Immunology (209 citations), Applied Microbiology and Biotechnology (18 citations), Dermatology (43 citations) and Food Science (66 citations). Yang Su has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lingyun Wu, Lixin Liu, Chen Dong, Xiaohu Wang, Xiaohong Zhao, Syed M. Qadri, Jinling Huang, Lixin Liu, Mokarram Hossain and Francisco S. Cayabyab. Their work appears in journals such as Cardiovascular Diabetology, Immunity, Emerging Microbes & Infections, Science Immunology and mBio.
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.