Ya Wu
Impact in
Papers in
-
- Genomics, phytochemicals, and oxidative stress 2
- Peroxisome Proliferator-Activated Receptors 2
-
- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Shoutian Sun (3 shared papers)Xin Zhao (11 shared papers)Fang Tan (6 shared papers)Xiang Ye (2 shared papers)Yiqun Xie (1 shared paper)Ye Xiang (1 shared paper)Ruokun Yi (4 shared papers)Mengke Wang (1 shared paper)
- Journals
- Applied Surface Science (2 papers)Journal of Food Biochemistry (2 papers)Cellular Signalling (2 papers)Journal of Functional Foods (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaPhilippinesSouth Korea
In The Last Decade
Ya Wu
27 papers receiving 399 citations
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 16
- Biochemistry 23
- Pharmacology 24
- Pathology and Forensic Medicine 46
- Materials Chemistry 113
Countries citing papers authored by Ya Wu
This map shows the geographic impact of Ya Wu'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 Ya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wu more than expected).
Fields of papers citing papers by Ya Wu
This network shows the impact of papers produced by Ya Wu. 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 Ya Wu. The network helps show where Ya Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Wu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 68 | |
| 2 | 2020 | 41 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 35 | |
| 5 | 2022 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 28 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Ya Wu
Ya Wu is a scholar working on Molecular Biology, Epidemiology, Materials Chemistry, Pathology and Forensic Medicine and Electrical and Electronic Engineering, having authored 28 papers that have together received 405 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), Advancements in Battery Materials (3 papers), Alcohol Consumption and Health Effects (3 papers), Advanced Photocatalysis Techniques (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Graphene research and applications (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Biochemistry (23 citations), Pharmacology (24 citations), Pathology and Forensic Medicine (46 citations) and Materials Chemistry (113 citations). Ya Wu has collaborated with scholars based in China, Philippines and South Korea. Frequent co-authors include Shoutian Sun, Xin Zhao, Fang Tan, Xiang Ye, Yiqun Xie, Ye Xiang, Ruokun Yi, Mengke Wang, Jianfei Mu and Yu Jiang. Their work appears in journals such as Applied Surface Science, Journal of Food Biochemistry, Cellular Signalling, Journal of Functional Foods and The FASEB Journal.
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.