Limeng Wu

26 papers receiving 539 citations

Limeng Wu's Hit Papers

Losartan treatment enhances chemotherapy efficacy and reduces ascites in ovarian cancer models by normalizing the tumor stroma 2019 · 204 citations
2040+2+4Years since publication50100150200

Peers

Limeng Wu
Comparison fields: 5 of 87
  • Modeling and Simulation 41
  • Numerical Analysis 35
  • Oncology 124
  • Neurology 61
  • Immunology 67
Replace Zhenhua Liu with:
Zhenhua Liu China
Kohei Nakajima Japan
Eva Oswald Germany
Michael Rückert Germany
David Knoff United States
Hannah A. Strobel United States
Richard D. Hall United States
Dagmar Pfeiffer Austria
Jianfeng Zheng China
Ranran Zhang China
Limeng Wu relative to Zhenhua Liu China Zhenhua Liu's profile →
Citations per field
00.5×10×20×30×41×
Zhenhua Liu · 1×
Citations per year

Countries citing papers authored by Limeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Limeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Losartan treatment enhances chemotherapy efficacy and reduces ascites in ovarian cancer models by normalizing the tumor stroma
Hit paper breakdown →
2019204
2 201650
3 201833
4 201622
5 202322
6 201822
7 202022
8 201921
9 201618
10 201718
11 202318
12 202217
13 201716
14 202016
15 202110
16 20248
17 20247
18 20226
19 20174
20 20242

About Limeng Wu

Limeng Wu is a scholar working on Numerical Analysis, Materials Chemistry, Surgery, Neurology and Renewable Energy, Sustainability and the Environment, having authored 33 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Catalytic Processes in Materials Science (4 papers), TiO2 Photocatalysis and Solar Cells (4 papers), Differential Equations and Numerical Methods (4 papers), Ear and Head Tumors (3 papers), Nonlinear Differential Equations Analysis (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Numerical Analysis (35 citations), Oncology (124 citations), Neurology (61 citations) and Immunology (67 citations). Limeng Wu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Canhua Jiang, Lei Xu, Yanxia Zhao, Jie Wang, Fulai Yuan, Jianping Liu, Meenal Datta, Xing Gao, Yao Sun and Yanling Zhang. Their work appears in journals such as Journal of Oral and Maxillofacial Surgery, Proceedings of the National Academy of Sciences, Applied Catalysis B: Environmental, Scientific Reports and Nature Communications.

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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