Xueting Yao
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies 6
- Neurology top 2%
- Ophthalmology top 5%
- Drug-Induced Ocular Toxicity 4
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 8
- Antibiotics Pharmacokinetics and Efficacy 7
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- Diabetes Treatment and Management 9
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- Drug Transport and Resistance Mechanisms 8
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- Pancreatic function and diabetes 5
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- Chronic Lymphocytic Leukemia Research 4
- Journals
- Clinical Infectious Diseases (1 paper)Clinical Pharmacokinetics (2 papers)Frontiers in Pharmacology (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xueting Yao
38 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Infectious Diseases 1.5k
- Neurology 551
- Ophthalmology 171
- Pharmacology 164
- Computational Theory and Mathematics 185
Countries citing papers authored by Xueting Yao
This map shows the geographic impact of Xueting Yao'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 Xueting Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueting Yao more than expected).
Fields of papers citing papers by Xueting Yao
This network shows the impact of papers produced by Xueting Yao. 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 Xueting Yao. The network helps show where Xueting Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xueting Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 1 | |
| 13 | In Vitro Antiviral Activity and Projection of Optimized Dosing Design of Hydroxychloroquine for the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)breakdown → | 2020 | 1855 |
| 14 | 2020 | 3 | |
| 15 | 2020 | 44 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2015 | 2 |
About Xueting Yao
Xueting Yao is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Ophthalmology, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Drug Transport and Resistance Mechanisms (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), COVID-19 Clinical Research Studies (6 papers), Pancreatic function and diabetes (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Drug-Induced Ocular Toxicity (4 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (551 citations) and Ophthalmology (171 citations). Xueting Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongyang Liu, Haiyan Li, Cheng Cui, Chunli Song, Miao Zhang, Baoying Huang, Erdan Dong, Li Zhao, Fei Ye and Xu Liu. Their work appears in journals such as Clinical Infectious Diseases, Clinical Pharmacokinetics and Frontiers in Pharmacology.
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.