Mengjun Wu

435 citations
24 papers · 252 · h-index 9

Impact in

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Psoriasis: Treatment and Pathogenesis 2
    • Reservoir Engineering and Simulation Methods 2

Mengjun Wu

23 papers receiving 251 citations

Peers

Mengjun Wu
Comparison fields: 5 of 77
  • Immunology 101
  • Biological Psychiatry 6
  • Oncology 53
  • Toxicology 4
  • Computational Theory and Mathematics 20
Replace Karol Prieto with:
Karol Prieto Colombia
Zili Zhang China
Stephanie Bishop United States
Feipeng Zhao China
Zhiyuan Deng China
Erika Rehnström Sweden
Daniela Rebleanu Romania
Biao Song China
Tianling Hou United States
Geetanjali Devabattula India
Mengjun Wu relative to Karol Prieto Colombia Karol Prieto's profile →
Citations per field
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Karol Prieto · 1×
Citations per year

Countries citing papers authored by Mengjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200946
2 202339
3 201525
4 201124
5 202422
6 202317
7 201113
8 202311
9 200911
10 20239
11 20245
12 20235
13 20244
14 20233
15 20233
16 20243
17 20243
18 20242
19 20212
20 20222

About Mengjun Wu

Mengjun Wu is a scholar working on Immunology, Ocean Engineering, Pharmacology, Oceanography and Molecular Biology, having authored 24 papers that have together received 252 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (3 papers), Immune Cell Function and Interaction (3 papers), Reservoir Engineering and Simulation Methods (2 papers), CAR-T cell therapy research (2 papers), Microbial Natural Products and Biosynthesis (2 papers), T-cell and B-cell Immunology (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Geophysics and Gravity Measurements (2 papers). The work is most often cited by research in Immunology (101 citations), Biological Psychiatry (6 citations), Oncology (53 citations), Toxicology (4 citations) and Computational Theory and Mathematics (20 citations). Mengjun Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chan Dai, Fanfan Zeng, Xiaoli Yin, Hong Xing Zheng, Gerald M. Maggiora, Yuling He, Martin Vogt, Jürgen Bajorath, Hanqi Luo and Shanshan Wu. Their work appears in journals such as Remote Sensing, International Journal of Biological Macromolecules, Journal of Computer-Aided Molecular Design, Cancer Research and Fitoterapia.

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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