Yingzi Wang
- Molecular Biology top 10%
- Hematology top 2%
- Oncology top 10%
- Materials Chemistry
- Cancer Research top 10%
- Co-authors
- Scott A. ArmstrongAndrei V. KrivtsovD. Gary GillilandMatthew C. StubbsJason LevineWilliam C. HahnJoerg FaberDavid Twomey
- Topics
- Traditional Chinese Medicine Analysis (10 papers)Plant-based Medicinal Research (10 papers)Bioactive Natural Diterpenoids Research (8 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Yingzi Wang
86 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.2k
- Hematology 521
- Oncology 366
- Materials Chemistry 240
- Cancer Research 221
Countries citing papers authored by Yingzi Wang
This map shows the geographic impact of Yingzi Wang'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 Yingzi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingzi Wang more than expected).
Fields of papers citing papers by Yingzi Wang
This network shows the impact of papers produced by Yingzi Wang. 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 Yingzi Wang. The network helps show where Yingzi Wang may publish in the future.
Co-authorship network of co-authors of Yingzi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yingzi Wang. A scholar is included among the top collaborators of Yingzi Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingzi Wang. Yingzi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | Study on Correlation Between Active Components and Apparent Color of Wine Fried Angelica Sinensis Based on Quantitative Correlation Between Exterior and Interior | 0 |
| 10 | 20 | |
| 11 | 4 | |
| 12 | Laboratory toxicity and control efficacy of five botanical insecticides to Apolygus lucorum. | 3 |
| 13 | 32 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | Study on Mycelia Growth and Sporulation of the Pathogen of Grape White Rot | 1 |
| 17 | Biological Characteristics of Cucumber Wilt Disease Pathogen | 1 |
| 18 | 29 | |
| 19 | Evaluation of forest ecosystem services of Wuyishan Scenery District. | 2 |
| 20 | Antifungal mechanisms of {\sl Trichoderma viride} strain TR--8 against {\sl Fusarium oxysporum} | 3 |
About Yingzi Wang
Yingzi Wang is a scholar working on Pharmacology, Complementary and alternative medicine and Biological Psychiatry, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Plant-based Medicinal Research (10 papers) and Bioactive Natural Diterpenoids Research (8 papers). The work is most often cited by research in Hematology (521 citations), Molecular Biology (1.2k citations) and Cancer Research (221 citations). Yingzi Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Scott A. Armstrong, Andrei V. Krivtsov, D. Gary Gilliland, Matthew C. Stubbs, Jason Levine, William C. Hahn, Joerg Faber, David Twomey, Jing Wang and Todd R. Golub. Their work appears in journals such as Nature, Blood and PLoS ONE.
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.