Weizhao Li
Impact in
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- Electrocatalysts for Energy Conversion
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 5
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- MicroRNA in disease regulation 4
- Co-authors
- Uttam Dhawa (1 shared paper)Lutz Ackermann (1 shared paper)Cong Tian (1 shared paper)Li Yin (2 shared papers)Fei Yin (2 shared papers)Hong Guo (2 shared papers)Wenjing Lin (3 shared papers)Guobin Yi (3 shared papers)
- Journals
- Neuroendocrinology (2 papers)Applied Sciences (2 papers)International Journal for Numerical Methods in Fluids (2 papers)Clinical Epigenetics (1 paper)Pituitary (1 paper)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Weizhao Li
33 papers receiving 350 citations
Peers
Comparison fields: 5 of 93
- Renewable Energy, Sustainability and the Environment 78
- Cancer Research 53
- Electronic, Optical and Magnetic Materials 43
- Organic Chemistry 54
- Molecular Biology 110
Countries citing papers authored by Weizhao Li
This map shows the geographic impact of Weizhao Li'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 Weizhao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhao Li more than expected).
Fields of papers citing papers by Weizhao Li
This network shows the impact of papers produced by Weizhao Li. 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 Weizhao Li. The network helps show where Weizhao Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weizhao Li, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2023 | 48 | |
| 3 | 2022 | 43 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 27 | |
| 6 | 2022 | 22 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Weizhao Li
Weizhao Li is a scholar working on Molecular Biology, Cancer Research, Computational Mechanics, Endocrinology, Diabetes and Metabolism and Building and Construction, having authored 36 papers that have together received 358 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Structural Behavior of Reinforced Concrete (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Numerical methods for differential equations (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (78 citations), Cancer Research (53 citations), Electronic, Optical and Magnetic Materials (43 citations), Organic Chemistry (54 citations) and Molecular Biology (110 citations). Weizhao Li has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Uttam Dhawa, Lutz Ackermann, Cong Tian, Li Yin, Fei Yin, Hong Guo, Wenjing Lin, Guobin Yi, Yulin Deng and Hong Luo. Their work appears in journals such as Neuroendocrinology, Applied Sciences, International Journal for Numerical Methods in Fluids, Clinical Epigenetics and Pituitary.
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.