Ji Wu

612 citations
33 papers · 466 indexed · h-index 11
Topics
MicroRNA in disease regulation (4 papers)Immunotherapy and Immune Responses (3 papers)Cancer-related molecular mechanisms research (3 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Ji Wu

28 papers receiving 461 citations

Peers

Ji Wu
Comparison fields: 5 of 84
  • Molecular Biology 196
  • Cancer Research 168
  • Health, Toxicology and Mutagenesis 88
  • Electrical and Electronic Engineering 58
  • Biomedical Engineering 47
Replace Sujuan Yan with:
Sujuan Yan China
Elisabeth Courcot France
Miroslava Kuricová Slovakia
Jicun Wang China
Zhirong Jiang China
Yuwei Liu China
Yingying Zheng China
Ji Wu relative to Sujuan Yan China Sujuan Yan's profile →
Citations per field
00.5×8.3×
Sujuan Yan · 1×
Citations per year

Countries citing papers authored by Ji Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Wu. A scholar is included among the top collaborators of Ji Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji Wu. Ji Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 2
6 0
7 1
8 3
9 20
10 7
11 18
12 107
13 91
14 12
15
Numerical simulation on water level control model for deaerators in nuclear power plants
1
16
Study on Strength of Polypropylene Fiber Reinforced Expansive Soil
2
17
The Nodes of a Binary Tree Traversal Algorithm Sequencing Analysis
1
18
Joint roughness coefficients and their fractal dimension
1
19
Antibacterial activities of the dirivatives-YH54 and YH57 of levofloxacin in vitro
1
20
[IL-2 potentiates the IL-3 production by ConA activated mouse splenic T cells].
1

About Ji Wu

Ji Wu is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Immunology, having authored 33 papers that have together received 466 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (168 citations), Health, Toxicology and Mutagenesis (88 citations) and Bioengineering (28 citations). Ji Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhenguo Zhao, Kai Wang, Yitian Chen, Xin Zhao, Kai Ding, Xin Zhao, Kai Ding, Jean‐Pierre Corriou, Xin Zhao and Xiangyang Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Energy Conversion and Management and Frontiers in Immunology.

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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