Sanlan Wu
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Antifungal resistance and susceptibility
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Oncology 10
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Yu Zhang (7 shared papers)Peng Cao (6 shared papers)Qilin Zhang (3 shared papers)Tingting Wu (2 shared papers)Kaiping Wang (1 shared paper)Jiangeng Huang (9 shared papers)Ying Luo (1 shared paper)Wenyu Liu (1 shared paper)
- Journals
- Frontiers in Pharmacology (5 papers)The Journal of Clinical Pharmacology (2 papers)Clinical & Translational Oncology (1 paper)Biomarkers (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Sanlan Wu
35 papers receiving 532 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 194
- Pharmacology 69
- Neurology 69
- Complementary and alternative medicine 30
- Pharmacology 51
Countries citing papers authored by Sanlan Wu
This map shows the geographic impact of Sanlan Wu'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 Sanlan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanlan Wu more than expected).
Fields of papers citing papers by Sanlan Wu
This network shows the impact of papers produced by Sanlan Wu. 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 Sanlan Wu. The network helps show where Sanlan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanlan Wu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2020 | 86 | |
| 3 | 2017 | 30 | |
| 4 | 2022 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Sanlan Wu
Sanlan Wu is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Pulmonary and Respiratory Medicine and Pharmacology, having authored 37 papers that have together received 538 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Antifungal resistance and susceptibility (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), COVID-19 Clinical Research Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Long-Term Effects of COVID-19 (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (194 citations), Pharmacology (69 citations), Neurology (69 citations), Complementary and alternative medicine (30 citations) and Pharmacology (51 citations). Sanlan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yu Zhang, Peng Cao, Qilin Zhang, Tingting Wu, Kaiping Wang, Jiangeng Huang, Ying Luo, Wenyu Liu, Haishan Huang and Hongyan Hou. Their work appears in journals such as Frontiers in Pharmacology, The Journal of Clinical Pharmacology, Clinical & Translational Oncology, Biomarkers and Infection and Drug Resistance.
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.