Lan Wu

5.9k citations
156 papers · 4.8k indexed · h-index 37

Impact in

Papers in

Lan Wu

148 papers receiving 4.7k citations

Peers

Lan Wu
Comparison fields: 5 of 147
  • Molecular Medicine 694
  • Biomaterials 809
  • Analytical Chemistry 444
  • Biomedical Engineering 1.9k
  • Renewable Energy, Sustainability and the Environment 629
Replace Nahit Aktaş with:
Nahit Aktaş Türkiye
Li Li China
Jing Peng China
Sujoy K. Das India
Ana L. Daniel‐da‐Silva Portugal
Yan Gao China
Kwon Taek Lim South Korea
Long Zhao China
Sibel Tunç Türkiye
Mansor Bin Ahmad Malaysia
Lan Wu relative to Nahit Aktaş Türkiye Nahit Aktaş's profile →
Citations per field
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Nahit Aktaş · 1×
Citations per year

Countries citing papers authored by Lan Wu

Since Specialization
Citations

This map shows the geographic impact of Lan Wu'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 Lan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wu more than expected).

Fields of papers citing papers by Lan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Wu. 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 Lan Wu. The network helps show where Lan Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan Wu, 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 Lan Wu Line = papers co-authored together Lan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007370
2 2012274
3 2007271
4 2009175
5 2006158
6 2005132
7 2004109
8 2016108
9 201496
10 201695
11 201595
12 201391
13 201788
14 201485
15 201583
16 201879
17 201979
18 201177
19 201477
20 202274

About Lan Wu

Lan Wu is a scholar working on Bioengineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, Molecular Medicine and Analytical Chemistry, having authored 156 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (21 papers), Gas Sensing Nanomaterials and Sensors (20 papers), Advanced biosensing and bioanalysis techniques (18 papers), Copper-based nanomaterials and applications (16 papers), Polymer-Based Agricultural Enhancements (14 papers), Analytical chemistry methods development (13 papers), Nanocluster Synthesis and Applications (12 papers) and Analytical Chemistry and Sensors (11 papers). The work is most often cited by research in Molecular Medicine (694 citations), Biomaterials (809 citations), Analytical Chemistry (444 citations), Biomedical Engineering (1.9k citations) and Renewable Energy, Sustainability and the Environment (629 citations). Lan Wu has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Mingzhu Liu, Xiandeng Hou, Peng Wu, Rui Liang, Ronghui Zhou, Shang Wu, Mingyu Guo, Chaoting Shi, Yanbin Wang and Chunmei Gao. Their work appears in journals such as Microchemical Journal, RSC Advances, Journal of Alloys and Compounds, Sensors and Actuators B Chemical and Carbohydrate Polymers.

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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