Xiaolan Bian
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- CRISPR and Genetic Engineering 2
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- Antibiotics Pharmacokinetics and Efficacy 4
- Co-authors
- Ping Yu (6 shared papers)Wenpei Dong (3 shared papers)Zhitao Yang (3 shared papers)Liang Zhang (2 shared papers)Bing Han (1 shared paper)Hai‐Shu Lin (1 shared paper)Jing Yuan (1 shared paper)Min Li (1 shared paper)
- Journals
- Frontiers in Pharmacology (3 papers)Annals of Translational Medicine (3 papers)Talanta (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Infectious Diseases and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xiaolan Bian
34 papers receiving 380 citations
Peers
Comparison fields: 5 of 84
- Molecular Medicine 89
- Applied Microbiology and Biotechnology 14
- Pharmacology 66
- Pharmacology 24
- Infectious Diseases 42
Countries citing papers authored by Xiaolan Bian
This map shows the geographic impact of Xiaolan Bian'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 Xiaolan Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Bian more than expected).
Fields of papers citing papers by Xiaolan Bian
This network shows the impact of papers produced by Xiaolan Bian. 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 Xiaolan Bian. The network helps show where Xiaolan Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Bian, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 60 | |
| 2 | 2021 | 38 | |
| 3 | 2021 | 30 | |
| 4 | 2022 | 25 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 7 |
About Xiaolan Bian
Xiaolan Bian is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Molecular Medicine and Epidemiology, having authored 38 papers that have together received 384 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antifungal resistance and susceptibility (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Vitamin C and Antioxidants Research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (89 citations), Applied Microbiology and Biotechnology (14 citations), Pharmacology (66 citations), Pharmacology (24 citations) and Infectious Diseases (42 citations). Xiaolan Bian has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ping Yu, Wenpei Dong, Zhitao Yang, Liang Zhang, Bing Han, Hai‐Shu Lin, Jing Yuan, Min Li, Xiaoqiang Xiang and Yao Li. Their work appears in journals such as Frontiers in Pharmacology, Annals of Translational Medicine, Talanta, Journal of Pharmaceutical and Biomedical Analysis and Infectious Diseases and Therapy.
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.