Ailin Wang
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
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- Neurogenetic and Muscular Disorders Research
Papers in
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- Advanced biosensing and bioanalysis techniques 3
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- Carbon and Quantum Dots Applications 5
- Luminescence Properties of Advanced Materials 2
- Advanced Nanomaterials in Catalysis 2
- Co-authors
- Guiye Shan (5 shared papers)Yichun Liu (4 shared papers)Yanwei Chen (3 shared papers)Erik Martin (1 shared paper)Veronica H. Ryan (1 shared paper)Nicolas L. Fawzi (1 shared paper)Shannon N. Rhoads (1 shared paper)Yuna M. Ayala (1 shared paper)
- Journals
- Chinese Geographical Science (2 papers)Phytomedicine (2 papers)Scientific Reports (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ailin Wang
27 papers receiving 871 citations
Peers
Comparison fields: 5 of 123
- Neurology 133
- Genetics 64
- Molecular Biology 413
- Biochemistry 32
- Materials Chemistry 208
Countries citing papers authored by Ailin Wang
This map shows the geographic impact of Ailin 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 Ailin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailin Wang more than expected).
Fields of papers citing papers by Ailin Wang
This network shows the impact of papers produced by Ailin 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 Ailin Wang. The network helps show where Ailin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailin Wang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 329 | |
| 2 | 2019 | 84 | |
| 3 | 2019 | 83 | |
| 4 | 2019 | 68 | |
| 5 | 2019 | 51 | |
| 6 | 2019 | 36 | |
| 7 | 2015 | 35 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 4 |
About Ailin Wang
Ailin Wang is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Pharmacology, having authored 30 papers that have together received 877 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Photocatalysis Techniques (2 papers), Luminescence Properties of Advanced Materials (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Climate change and permafrost (2 papers), Perovskite Materials and Applications (2 papers) and Botany and Plant Ecology Studies (1 paper). The work is most often cited by research in Neurology (133 citations), Genetics (64 citations), Molecular Biology (413 citations), Biochemistry (32 citations) and Materials Chemistry (208 citations). Ailin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guiye Shan, Yichun Liu, Yanwei Chen, Erik Martin, Veronica H. Ryan, Nicolas L. Fawzi, Shannon N. Rhoads, Yuna M. Ayala, Frank Shewmaker and Alexander E. Conicella. Their work appears in journals such as Chinese Geographical Science, Phytomedicine, Scientific Reports, Frontiers in Bioengineering and Biotechnology and Advanced Science.
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.