Weipeng Wu

453 citations
23 papers · 333 indexed · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer

Papers in

Weipeng Wu

19 papers receiving 329 citations

Peers

Weipeng Wu
Comparison fields: 5 of 91
  • Cancer Research 145
  • Molecular Biology 207
  • Aging 5
  • Pulmonary and Respiratory Medicine 67
  • Immunology 31
Replace Chang-Meng Wu with:
Chang-Meng Wu China
Shufang Ning China
Xueshan Zhao China
Judong Luo China
Zeqing Song China
Alireza Delfarah United States
Morgan D. Kuczler United States
Yuwen Xue China
Wen-Tao Zhu China
Celine L. Hartman United States
Weipeng Wu relative to Chang-Meng Wu China Chang-Meng Wu's profile →
Citations per field
00.5×
Chang-Meng Wu · 1×
Citations per year

Countries citing papers authored by Weipeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weipeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20251
4 20250
5 20250
6 20241
7 20246
8 20241
9 202345
10 202255
11 202213
12 202121
13 202149
14 20216
15 202027
16 202041
17 202018
18 20151
19 201516
20 201520

About Weipeng Wu

Weipeng Wu is a scholar working on Cancer Research, Numerical Analysis, Gastroenterology, Surfaces, Coatings and Films and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 333 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Terahertz technology and applications (4 papers), Gastric Cancer Management and Outcomes (3 papers), Extracellular vesicles in disease (2 papers), Metastasis and carcinoma case studies (2 papers) and Semiconductor Quantum Structures and Devices (1 paper). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (207 citations), Aging (5 citations), Pulmonary and Respiratory Medicine (67 citations) and Immunology (31 citations). Weipeng Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanhong Pan, Xing‐dong Xiong, Xinguang Liu, Xiaoxin Jiang, Meng‐yun Cai, Yan Sun, Weidong Zheng, Leyong Yuan, Ning Zhou and Min Xue. Their work appears in journals such as Advanced Optical Materials, Transportation Research Part D Transport and Environment, Aging, Dalton Transactions and Desalination.

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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