Wenying Yu
Impact in
- Toxicology top 2%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- RNA Research and Splicing 5
- Oncology 21
- Cytokine Signaling Pathways and Interactions 16
- HER2/EGFR in Cancer Research 4
- Co-authors
- Jiayuh Lin (7 shared papers)Chenglong Li (7 shared papers)Xiang Gao (2 shared papers)Jun Zhang (1 shared paper)Ling‐Yi Kong (4 shared papers)Lide Zhang (1 shared paper)Maode Lai (5 shared papers)Lingyi Kong (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)European Journal of Medicinal Chemistry (6 papers)Scientific Reports (2 papers)Tetrahedron (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wenying Yu
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Toxicology 78
- Oncology 482
- Immunology 268
- Cancer Research 181
- Molecular Biology 816
Countries citing papers authored by Wenying Yu
This map shows the geographic impact of Wenying Yu'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 Wenying Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenying Yu more than expected).
Fields of papers citing papers by Wenying Yu
This network shows the impact of papers produced by Wenying Yu. 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 Wenying Yu. The network helps show where Wenying Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenying Yu, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 176 | |
| 2 | 2015 | 140 | |
| 3 | 2017 | 134 | |
| 4 | 2004 | 93 | |
| 5 | 2002 | 92 | |
| 6 | 2017 | 89 | |
| 7 | 2016 | 77 | |
| 8 | 2013 | 73 | |
| 9 | 2019 | 57 | |
| 10 | 2014 | 54 | |
| 11 | Clinicopathologic characteristics of inflammatory pseudotumor-like follicular dendritic cell sarcoma. | 2014 | 54 |
| 12 | 2021 | 48 | |
| 13 | 2017 | 41 | |
| 14 | 2023 | 41 | |
| 15 | 2021 | 38 | |
| 16 | 2016 | 38 | |
| 17 | 2018 | 37 | |
| 18 | 2017 | 37 | |
| 19 | 2023 | 35 | |
| 20 | 2016 | 32 |
About Wenying Yu
Wenying Yu is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Immunology and Plant Science, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (16 papers), Magnetic and transport properties of perovskites and related materials (5 papers), RNA Research and Splicing (5 papers), Bioactive Compounds and Antitumor Agents (5 papers), Computational Drug Discovery Methods (5 papers), Synthesis and biological activity (5 papers), Plant nutrient uptake and metabolism (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Toxicology (78 citations), Oncology (482 citations), Immunology (268 citations), Cancer Research (181 citations) and Molecular Biology (816 citations). Wenying Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiayuh Lin, Chenglong Li, Xiang Gao, Jun Zhang, Ling‐Yi Kong, Lide Zhang, Maode Lai, Lingyi Kong, Xiaobing Wang and Wenda Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Scientific Reports, Tetrahedron and Bioorganic & Medicinal Chemistry Letters.
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.