Le Zhu

1.1k citations
12 papers · 767 indexed · 2 hit papers · h-index 8
Topics
Nanoplatforms for cancer theranostics (3 papers)Ferroptosis and cancer prognosis (2 papers)Retinoids in leukemia and cellular processes (2 papers)

In The Last Decade

Le Zhu

11 papers receiving 763 citations

Hit Papers

Isolation and characterization of exosomes for cancer res...202020262022202420202021100200300

Peers

Le Zhu
Comparison fields: 5 of 81
  • Molecular Biology 533
  • Cancer Research 347
  • Oncology 199
  • Immunology 100
  • Biomedical Engineering 83
Replace Ling‐Min Kong with:
Ling‐Min Kong China
Ming Quan China
A‐Bin You China
Jinlong Tang China
Shan Pan China
Xueliang Zuo China
Magali Castells France
Miryam Müller Germany
Xiutao Fu China
Colin H. Beckwitt United States
Le Zhu relative to Ling‐Min Kong China Ling‐Min Kong's profile →
Citations per field
00.5×4.9×
Ling‐Min Kong · 1×
Citations per year

Countries citing papers authored by Le Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Le Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Le Zhu. A scholar is included among the top collaborators of Le Zhu 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 Le Zhu. Le Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 10
2 0
3 14
4 21
5 4
6 1
7 104
8
The molecular biology of pancreatic adenocarcinoma: translational challenges and clinical perspectivesbreakdown →
220
9
Isolation and characterization of exosomes for cancer researchbreakdown →
376
10 7
11 9
12
Clinicopathological Significance of the Expression of Notch1 in Human Pancreatic Cancer
1

About Le Zhu

Le Zhu is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 12 papers that have together received 767 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Ferroptosis and cancer prognosis (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (347 citations), Molecular Biology (533 citations) and Oncology (199 citations). Le Zhu has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Qiongzhu Dong, Lun–Xiu Qin, Yan Zheng, Beiyuan Hu, Tiantian Zou, Yan Fu, Xiaotian Shen, Wei Qin, Haoting Sun and Lu Lu. Their work appears in journals such as Advanced Functional Materials, Cancer Research and Signal Transduction and Targeted Therapy.

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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