Weipeng Wu

480 citations
23 papers · 358 · 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 352 citations

Peers

Weipeng Wu
Comparison fields: 5 of 89
  • Cancer Research 126
  • Molecular Biology 196
  • Aging 5
  • Pulmonary and Respiratory Medicine 58
  • Biochemistry 9
Replace Han Liu with:
Han Liu China
Chang-Meng Wu China
Zhoubin Li China
Jason Herring United States
Xueshan Zhao China
Zongjuan Ming China
Alireza Delfarah United States
Morgan D. Kuczler United States
Zeqing Song China
Gongjian Zhu China
Weipeng Wu relative to Han Liu China Han Liu's profile →
Citations per field
00.5×4.8×
Han Liu · 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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 202352
3 202151
4 202043
5 202027
6 202123
7 201520
8 202018
9 201516
10 202213
11 20257
12 20247
13 20216
14 20255
15 20184
16
[Advantage of D2+ lymph node dissection for distal advanced gastric cancer].
20152
17 20151
18 20241
19 20241
20 20251

About Weipeng Wu

Weipeng Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cancer Research, Atomic and Molecular Physics, and Optics and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Terahertz technology and applications (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Gastric Cancer Management and Outcomes (2 papers), Advanced Image Fusion Techniques (1 paper), Color Science and Applications (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (196 citations), Aging (5 citations), Pulmonary and Respiratory Medicine (58 citations) and Biochemistry (9 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, Ning Zhou, Leyong Yuan and Tong Shao. Their work appears in journals such as Advanced Optical Materials, Frontiers in Pharmacology, Transportation Research Part D Transport and Environment, Aging Cell and Cancer Management and Research.

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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