Peng Lan

70 papers and 1.5k indexed citations i.

About

Peng Lan is a scholar working on Molecular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Peng Lan has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Medicine, 17 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Peng Lan’s work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Model Reduction and Neural Networks (6 papers). Peng Lan is often cited by papers focused on Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Model Reduction and Neural Networks (6 papers). Peng Lan collaborates with scholars based in China, Australia and United States. Peng Lan's co-authors include Yunsong Yu, Yan Jiang, Jiancang Zhou, Catherine Laplace, Deborah L. Galson, Erwin F. Wagner, Kent Z.Q. Wang, Hitoshi Amano, Hiromichi Ishikawa and Hiroyuki Aburatani and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Hazardous Materials and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Peng Lan i

Fields of papers citing papers by Peng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Peng Lan

Since Specialization
Citations

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).

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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2025