Peng Lan

77 papers receiving 1.8k citations

Peers

Peng Lan
Comparison fields: 5 of 139
  • Molecular Medicine 534
  • Endocrinology 154
  • Applied Microbiology and Biotechnology 48
  • Clinical Biochemistry 81
  • Cancer Research 167
Replace Jeanette E. Eckel‐Passow with:
Jeanette E. Eckel‐Passow United States
Kathy A. Mangold United States
Yong Chan Kim South Korea
Juan Carlos Silva United States
Michael T. Wong United States
Paolo Ocampo United States
Carlos J. Suarez United States
Tae‐Hyoung Kim South Korea
A. Kamiya Japan
Raymond C. Chan United States
Peng Lan relative to Jeanette E. Eckel‐Passow United States Jeanette E. Eckel‐Passow's profile →
Citations per field
00.5×3.5×
Jeanette E. Eckel‐Passow · 1×
Citations per year

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-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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004486
2 2021190
3 202260
4 201858
5 200153
6 202051
7 201851
8 202249
9 202244
10 202144
11 202144
12 201834
13 201930
14 202329
15 202128
16 202225
17 202322
18 201922
19 202421
20 201321

About Peng Lan

Peng Lan is a scholar working on Molecular Medicine, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Civil and Structural Engineering, having authored 85 papers that have together received 1.8k 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), Model Reduction and Neural Networks (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Full-Duplex Wireless Communications (5 papers) and Soil and Unsaturated Flow (4 papers). The work is most often cited by research in Molecular Medicine (534 citations), Endocrinology (154 citations), Applied Microbiology and Biotechnology (48 citations), Clinical Biochemistry (81 citations) and Cancer Research (167 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, Erwin F. Wagner, Koichi Matsuo, Zhao Chen, Hiroyuki Aburatani and Hiromichi Ishikawa. Their work appears in journals such as BMC Pregnancy and Childbirth, Frontiers in Microbiology, Frontiers in Cellular and Infection Microbiology, International Journal of Antimicrobial Agents and Annals of Translational Medicine.

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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