Chenying Lu

2.1k citations
71 papers · 1.5k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Nanoparticle-Based Drug Delivery

Papers in

Chenying Lu

66 papers receiving 1.5k citations

Peers

Chenying Lu
Comparison fields: 5 of 112
  • Cancer Research 247
  • Biomaterials 230
  • Pulmonary and Respiratory Medicine 342
  • Hepatology 58
  • Biomedical Engineering 345
Replace Liangliang Wu with:
Liangliang Wu China
Dongjun Jeong South Korea
Masamichi Mizuma Japan
Zifang Song China
Deliang Fu China
Sang‐Yeob Kim South Korea
Qiyun Tang China
Wenhao Shen China
Aaron J. Goldman United States
Wence Zhou China
Chenying Lu relative to Liangliang Wu China Liangliang Wu's profile →
Citations per field
00.5×2×3.2×
Liangliang Wu · 1×
Citations per year

Countries citing papers authored by Chenying Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chenying Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 2020103
3 202199
4 202176
5 202165
6 201965
7 202050
8 202248
9 201245
10 202344
11 201638
12 201838
13 202034
14 202232
15 201731
16 201429
17 202028
18 202227
19 202126
20 201826

About Chenying Lu

Chenying Lu is a scholar working on Biomaterials, Cancer Research, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Immune cells in cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ferroptosis and cancer prognosis (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Cancer Research (247 citations), Biomaterials (230 citations), Pulmonary and Respiratory Medicine (342 citations), Hepatology (58 citations) and Biomedical Engineering (345 citations). Chenying Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiansong Ji, Yongzhong Du, Gaofeng Shu, Min Xu, Bufu Tang, Shiji Fang, Qiaoyou Weng, Jinyu Zhu, Minjiang Chen and Liyun Zheng. Their work appears in journals such as ACS Applied Materials & Interfaces, Scientific Reports, Academic Radiology, Asian Journal of Pharmaceutical Sciences and Journal of Nanobiotechnology.

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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