Peng Lan

2.7k total citations
87 papers, 1.7k citations indexed

About

Peng Lan is a scholar working on Molecular Medicine, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Peng Lan has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Medicine, 18 papers in Electrical and Electronic Engineering and 17 papers in Molecular Biology. Recurrent topics in Peng Lan's work include Antibiotic Resistance in Bacteria (20 papers), Advanced MIMO Systems Optimization (12 papers) and Cooperative Communication and Network Coding (11 papers). Peng Lan is often cited by papers focused on Antibiotic Resistance in Bacteria (20 papers), Advanced MIMO Systems Optimization (12 papers) and Cooperative Communication and Network Coding (11 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, Koichi Matsuo, Hiromichi Ishikawa, Erwin F. Wagner, Kent Z.Q. Wang and Hitoshi Amano and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Peng Lan

78 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peng Lan China 20 750 534 331 202 198 87 1.7k
Hang Phan United Kingdom 21 715 1.0× 516 1.0× 81 0.2× 227 1.1× 79 0.4× 48 1.8k
Carlos J. Suarez United States 25 800 1.1× 277 0.5× 695 2.1× 438 2.2× 108 0.5× 93 2.4k
Wei‐Hung Lin Taiwan 29 565 0.8× 269 0.5× 170 0.5× 348 1.7× 58 0.3× 160 2.7k
Jeanette E. Eckel‐Passow United States 36 1.6k 2.2× 215 0.4× 628 1.9× 523 2.6× 133 0.7× 119 3.7k
Ronghua Jin China 18 438 0.6× 205 0.4× 167 0.5× 395 2.0× 31 0.2× 70 2.1k
Kathy A. Mangold United States 20 339 0.5× 93 0.2× 359 1.1× 188 0.9× 26 0.1× 50 1.6k
Juan Carlos Silva United States 28 411 0.5× 109 0.2× 456 1.4× 591 2.9× 26 0.1× 86 2.7k
H Hashimoto Japan 21 449 0.6× 110 0.2× 75 0.2× 136 0.7× 54 0.3× 148 1.9k
Yang Jiao China 16 249 0.3× 87 0.2× 96 0.3× 214 1.1× 50 0.3× 92 1.0k
Paolo Ocampo United States 7 326 0.4× 82 0.2× 349 1.1× 134 0.7× 50 0.3× 9 2.2k

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).

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.

Co-authorship network of co-authors of Peng Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Lan. A scholar is included among the top collaborators of Peng Lan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Lan. Peng Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Ye, Peng Lan, Lina Chen, et al.. (2025). High prevalence of cefiderocol resistance in carbapenem-resistant Escherichia coli: A warning from multicenter clinical data in China. Journal of Infection. 91(3). 106563–106563. 2 indexed citations
2.
Lan, Peng, Li Wang, Likai Ji, et al.. (2025). Transcriptomics of HERVs reveals clinico-biological characterization of LTR5_Hs and HERVS71 loci in gastric cancer. Translational Oncology. 56. 102369–102369. 1 indexed citations
3.
Wang, Li, Xia Yang, Gaohua Han, et al.. (2025). Comparisons of blood, upper respiratory tract and gut viromes from patients with lung cancer and healthy persons. International Journal of Cancer. 157(9). 1924–1938.
5.
Lan, Peng, et al.. (2024). Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning. Computers and Geotechnics. 168. 106162–106162. 14 indexed citations
6.
Su, Jing-Jing, Sheng Zhang, Peng Lan, & Xiaofeng Chen. (2024). Explorations of certain nonlinear waves of the Boussinesq and Camassa–Holm equations using physics-informed neural networks. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2284). 1 indexed citations
7.
Han, Xinhong, Jintao He, Haiyang Liu, et al.. (2024). Clinical and laboratory insights into the threat of hypervirulent Klebsiella pneumoniae. International Journal of Antimicrobial Agents. 64(3). 107275–107275. 18 indexed citations
8.
He, Dan, et al.. (2024). Parental Phubbing and Cyberloafing in Chinese Adolescent: The Mediating Roles of Rejection Sensitivity and Loneliness. Child & Family Social Work. 30(4). 860–870. 1 indexed citations
9.
Lan, Peng, Ye Lu, Rushuang Yan, et al.. (2023). Development of a Novel Typing Scheme Based on the Genetic Diversity of Heme/Hemin Uptake System Hmu in Klebsiella pneumoniae Species Complex. Microbiology Spectrum. 11(2). e0106222–e0106222. 3 indexed citations
10.
He, Jintao, Qiucheng Shi, Zhifu Chen, et al.. (2022). Opposite evolution of pathogenicity driven by in vivo wzc and wcaJ mutations in ST11-KL64 carbapenem-resistant Klebsiella pneumoniae. Drug Resistance Updates. 66. 100891–100891. 42 indexed citations
11.
Lan, Peng, Ye Lu, Zhongju Chen, et al.. (2022). Emergence of High-Level Cefiderocol Resistance in Carbapenem-Resistant Klebsiella pneumoniae from Bloodstream Infections in Patients with Hematologic Malignancies in China. Microbiology Spectrum. 10(2). e0008422–e0008422. 53 indexed citations
12.
Lan, Peng, Shujuan Ji, Lu Sun, et al.. (2021). A random forest model based on core genome allelic profiles of MRSA for penicillin plus potassium clavulanate susceptibility prediction. Microbial Genomics. 7(9). 6 indexed citations
13.
Zhang, Junli, Peng Lan, Changming Yang, et al.. (2021). Secondary bloodstream infection in critically ill patients with COVID-19. Journal of International Medical Research. 49(12). 3619123711–3619123711. 7 indexed citations
14.
Lan, Peng, Rushuang Yan, Ye Lu, et al.. (2021). Genetic diversity of siderophores and hypermucoviscosity phenotype in Klebsiella pneumoniae. Microbial Pathogenesis. 158. 105014–105014. 9 indexed citations
15.
Liao, Zhifang, et al.. (2021). SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD. Computers in Biology and Medicine. 138. 104868–104868. 44 indexed citations
16.
Shi, Qiucheng, Jingjing Quan, Peng Lan, et al.. (2020). Prevalence and characteristics of pks gene cluster harbouring Klebsiella pneumoniae from bloodstream infection in China. Epidemiology and Infection. 148. e69–e69. 11 indexed citations
17.
Lan, Peng, Qiucheng Shi, Ping Zhang, et al.. (2019). Core Genome Allelic Profiles of Clinical Klebsiella pneumoniae Strains Using a Random Forest Algorithm Based on Multilocus Sequence Typing Scheme for Hypervirulence Analysis. The Journal of Infectious Diseases. 221(Supplement_2). S263–S271. 28 indexed citations
18.
Shi, Qiucheng, Peng Lan, Xiaoting Hua, et al.. (2018). Diversity of virulence level phenotype of hypervirulent Klebsiella pneumoniae from different sequence type lineage. BMC Microbiology. 18(1). 94–94. 55 indexed citations
19.
Zhai, Chao, et al.. (2017). Wireless Powered Cooperative Communication Using Two Relays: Protocol Design and Performance Analysis. IEEE Transactions on Vehicular Technology. 67(4). 3598–3611. 13 indexed citations
20.
Chai, Jian, et al.. (2016). China's Energy Structure Adjustment Direction under Multi-objective Constraints. 34(9). 80. 1 indexed citations

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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