Peng Lan
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Antibiotic Resistance in Bacteria 20
- Co-authors
- Yunsong Yu (26 shared papers)Yan Jiang (23 shared papers)Jiancang Zhou (18 shared papers)Deborah L. Galson (2 shared papers)Catherine Laplace (2 shared papers)Hitoshi Amano (1 shared paper)Kent Z.Q. Wang (1 shared paper)Hiromichi Ishikawa (1 shared paper)
- Journals
- International Journal of Antimicrobial Agents (3 papers)Frontiers in Cellular and Infection Microbiology (3 papers)BMC Pregnancy and Childbirth (3 papers)Frontiers in Microbiology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Peng Lan
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 143
- Molecular Medicine 534
- Applied Microbiology and Biotechnology 76
- Endocrinology 185
- Clinical Biochemistry 121
- Modeling and Simulation 56
Countries citing papers authored by Peng Lan
This map shows the geographic impact of Peng Lan'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 Peng Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Lan more than expected).
Fields of papers citing papers by Peng Lan
This network shows the impact of papers produced by Peng Lan. 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 Peng Lan. The network helps show where Peng Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Lan, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 484 | |
| 2 | 2021 | 175 | |
| 3 | 2018 | 55 | |
| 4 | 2022 | 53 | |
| 5 | 2001 | 53 | |
| 6 | 2020 | 51 | |
| 7 | 2018 | 49 | |
| 8 | 2022 | 45 | |
| 9 | 2021 | 44 | |
| 10 | 2022 | 42 | |
| 11 | 2021 | 40 | |
| 12 | 2018 | 33 | |
| 13 | 2019 | 28 | |
| 14 | 2005 | 27 | |
| 15 | 2022 | 22 | |
| 16 | 2021 | 21 | |
| 17 | 2023 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2013 | 21 | |
| 20 | 2019 | 20 |
About Peng Lan
Peng Lan is a scholar working on Molecular Medicine, Microbiology, Endocrinology, General Energy and Applied Microbiology and Biotechnology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Advanced MIMO Systems Optimization (12 papers), Cooperative Communication and Network Coding (11 papers), Cognitive Radio Networks and Spectrum Sensing (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial biofilms and quorum sensing (6 papers), Model Reduction and Neural Networks (6 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Molecular Medicine (534 citations), Applied Microbiology and Biotechnology (76 citations), Endocrinology (185 citations), Clinical Biochemistry (121 citations) and Modeling and Simulation (56 citations). Peng Lan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunsong Yu, Yan Jiang, Jiancang Zhou, Deborah L. Galson, Catherine Laplace, Hitoshi Amano, Kent Z.Q. Wang, Hiromichi Ishikawa, Koichi Matsuo and Hiroyuki Aburatani. Their work appears in journals such as International Journal of Antimicrobial Agents, Frontiers in Cellular and Infection Microbiology, BMC Pregnancy and Childbirth, Frontiers in Microbiology and Scientific Reports.
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.