Sanlan Wu

764 citations
37 papers · 554 · h-index 14

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antifungal resistance and susceptibility
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Antibiotics Pharmacokinetics and Efficacy

Papers in

    • Drug Transport and Resistance Mechanisms 3
    • Lung Cancer Research Studies 2
    • Antifungal resistance and susceptibility 5
    • COVID-19 Clinical Research Studies 3

Sanlan Wu

34 papers receiving 548 citations

Peers

Sanlan Wu
Comparison fields: 5 of 104
  • Infectious Diseases 168
  • Pharmacology 57
  • Neurology 50
  • Pharmacology 44
  • Complementary and alternative medicine 21
Replace YU Xue-ying with:
YU Xue-ying China
Mohamed N. Amin Egypt
Renbin Huang China
Mina Kelleni Egypt
Manasvi Gupta United States
Silke Rummler Germany
Yafei Liu China
Keshu Xu China
Weiji Lin China
Johan Monbaliu Belgium
Sanlan Wu relative to YU Xue-ying China YU Xue-ying's profile →
Citations per field
00.5×4.5×
YU Xue-ying · 1×
Citations per year

Countries citing papers authored by Sanlan Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sanlan Wu Line = papers co-authored together Sanlan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 202088
3 202232
4 201730
5 202128
6 202027
7 202323
8 202320
9 202318
10 202118
11 201917
12 202115
13 202014
14 201914
15 202313
16 202110
17 202010
18 20218
19 20178
20 20227

About Sanlan Wu

Sanlan Wu is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Epidemiology and Pharmacology, having authored 37 papers that have together received 554 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Antifungal resistance and susceptibility (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), COVID-19 Clinical Research Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Lung Cancer Treatments and Mutations (3 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (168 citations), Pharmacology (57 citations), Neurology (50 citations), Pharmacology (44 citations) and Complementary and alternative medicine (21 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, Guoqing Tang, Wenyu Liu, Ziyong Sun and Lixia Mao. Their work appears in journals such as Frontiers in Pharmacology, The Journal of Clinical Pharmacology, Pharmaceutics, Carbohydrate Polymers and Clinical & Experimental Immunology.

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.

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