Zhimeng Wu

1.9k citations
101 papers · 1.5k indexed · h-index 22

Impact in

    • Glycosylation and Glycoproteins Research
    • Biochemical and Structural Characterization
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Chemical Synthesis and Analysis
    • MicroRNA in disease regulation

Papers in

Zhimeng Wu

94 papers receiving 1.5k citations

Peers

Zhimeng Wu
Comparison fields: 5 of 100
  • Molecular Biology 1.1k
  • Cancer Research 170
  • Biotechnology 95
  • Radiology, Nuclear Medicine and Imaging 227
  • Immunology 194
Replace Jeffrey Tom with:
Jeffrey Tom United States
Miriam Dwek United Kingdom
Jiantao Guo United States
Shisheng Sun China
Volker Schellenberger Germany
Duraikkannu Loganathan India
Danuta Duś Poland
Doo‐Byoung Oh South Korea
Jian Gao China
Yong-Qiu Mao China
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Citations per field
00.5×5.1×
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Citations per year

Countries citing papers authored by Zhimeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhimeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20245
4 20244
5 20242
6 20248
7 202436
8 20233
9 202311
10 202318
11 20233
12 202324
13 20224
14 202010
15 20201
16 201914
17 201918
18 201857
19 20183
20 20179

About Zhimeng Wu

Zhimeng Wu is a scholar working on Biotechnology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Toxicology and Organic Chemistry, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (43 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Biochemical and Structural Characterization (25 papers), Immunotherapy and Immune Responses (9 papers), Carbohydrate Chemistry and Synthesis (8 papers), Extracellular vesicles in disease (7 papers), Chemical Synthesis and Reactions (7 papers) and Botanical Research and Chemistry (6 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (170 citations), Biotechnology (95 citations), Radiology, Nuclear Medicine and Imaging (227 citations) and Immunology (194 citations). Zhimeng Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhongwu Guo, Zhifang Zhou, Xueqing Guo, Haofei Hong, Zhaohui Huang, Jie Shi, Dan Li, Surui Yao, Juan Zhang and Guocheng Du. Their work appears in journals such as Chinese Chemical Letters, Chemical Communications, Synthesis, Carbohydrate Research and Journal of Medicinal Chemistry.

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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